Griffin M Weber, M.D., Ph.D.GriffinWeber

Harvard Medical SchoolCountway Library, Room 30610 Shattuck StBoston, MA 02115617/432-613442.33734900000000-71.10335500000000

1BIDMCBeth Israel Deaconess Medical CenterMedicineInterdisciplinary Medicine and BiotechnologyAssociate Professor of MedicineAssociate Professor2HMSHarvard Medical SchoolBiomedical InformaticsInterdisciplinary Medicine and BiotechnologyAssociate Professor of Biomedical InformaticsAssociate ProfessorGriffin Weber, M.D., Ph.D., is an Associate Professor of Medicine and Biomedical Informatics in the Department of Medicine, Beth Israel Deaconess Medical Center (BIDMC), and the Department of Biomedical Informatics, Harvard Medical School (HMS). He is also the Director of the Biomedical Research Informatics Core (BRIC) at BIDMC. One of Dr. Weber's research areas is in expertise mining and social network analysis. He invented an open source social networking website for scientists called Profiles RNS (http://profiles.catalyst.harvard.edu). It automatically mines large datasets such as PubMed, NIH ExPORTER, and the U.S. patent database to discover investigators' research areas and scientific networks. It presents these connections using temporal, geospatial, and network visualizations. The software has numerous applications, ranging from finding individual collaborators and mentors to understanding the dynamics of an entire research community. Profiles RNS is now used at dozens of universities across the country. Dr. Weber is also an investigator on Informatics for Integrating Biology and the Bedside (i2b2), an NIH National Center for Biomedical Computing, for which he helped developed a web-based open source platform that enables a variety of functions including queries of large clinical repositories for hypothesis testing and identification of patients for clinical trials (http://i2b2.org). He also created the original prototype software for the Shared Health Research Information Network (SHRINE), which is a federated query tool that connects i2b2 databases across multiple institutions. More than 100 institutions worldwide use i2b2 and SHRINE to support clinical research. Dr. Weber received his M.D. and Ph.D. in computer science from Harvard University in 2007. While still a student, he became the first Chief Technology Officer of Harvard Medical School and built an educational web portal that provides interactive online content to over 500 courses. His past research projects also include analyzing DNA microarrays, modeling the growth of breast cancer tumors, and creating algorithms for predicting life expectancy.https://connects.catalyst.harvard.edu/Profiles/profile/Modules/CustomViewPersonGeneralInfo/PhotoHandler.ashx?NodeID=1248944GriffinWeber[{"name":"SONIC Seminar","id":"0lukaNa49sY","url":"https://www.youtube.com/watch?v=0lukaNa49sY"}]http://www.ncbi.nlm.nih.gov/myncbi/griffin.weber.1/cv/32931http://orcid.org/0000-0002-2597-881X2http://facultyfinder.harvard.edu/display/person/44303http://www.ncbi.nlm.nih.gov/myncbi/browse/collection/441221734http://www.nature.com/nature/journal/v510/n7503/full/510011e.html 106/05/2014Society of Medical Decision Making20032007201020112020Harvard UniversityBostonSB06/2000BioengineeringHarvard UniversityBostonSM06/2004Computer ScienceHarvard UniversityBostonPhD06/2005Computer ScienceHarvard UniversityBostonMD06/2007MedicineCo-InvestigatorA Systems Approach to Advancing Workforce Inclusion and DiversityNIH2010-09-302013-08-31REEDE, JOAN Y.Many factors influence the careers of individuals underrepresented in medicine and science (under- represented minorities, URM), but only a few of these factors are tracked in current diversity research. We hypothesize that this lack of comprehensive data and its analysis impedes the ability of institutional leaders to identify and implement successful policies and interventions that increase the diversity and inclusiveness of the workforce. New advances in data collection and analysis at Harvard Medical School promise to make it possible to test this hypothesis. Using a newly-developed tool, Profiles, we will assemble a range of data about individuals (demographics, research, teaching and service-related information) and about the environment and policies and practices of the institutions in which the individuals work. Expanding Profiles, we will collect new data at the departmental and institutional levels, including diversity, mentoring and faculty development programs, fellowships and trainings, awards and honors, individual information pertaining to users of these offerings, and information on grant applications, teaching activities and leadership roles of individual faculty. This groundbreaking data collection, conceptual framework and analysis approach will allow us to address, for the first time, how multiple factors interact in hindering or supporting the careers of URM faculty, allowing us to form hypotheses about how environmental factors affect the success of junior faculty, and to identify potential differences between URM faculty and other faculty. We will analyze these data using approaches drawn from epidemiology, social network theory and sociology, extending our understanding of URM career pathways in real time. These comprehensive data will inform us about the effects of general policies, as well as diversity policies, on the career success of URM faculty and trainees and will offer institutional decision-makers new tools with which to assess and modify institutional policies relevant to URMs, including policies not originally intended to affect diversity. PUBLIC HEALTH RELEVANCE: Diversity research in the biomedical, health and behavioral sciences has been limited by a lack of comprehensive, integrated information pertaining to factors - including factors not addressed by diversity programs - that impede or facilitate career entry, persistence and success. Harnessing data that has been fragmented and/or not readily accessible combined with a robust conceptual framework will make possible analyses that enable institutions to develop policies, practices and programs that lead to increased diversity and inclusion in the sciences. As a portable approach and platform, the proposed work, is potentially of value to all institutions. EAGER-Profiles: Using researcher profiles to demonstrate the impact of investments in scienceNSF/SciSIP2012-06-012014-03-31WEBER, GRIFFIN MEvaluating the return on investment in science involves accurately associating research inputs (e.g., grants and contracts) with research outputs (e.g., publications and patents). Because many of today's significant discoveries are produced by large multi-institution, cross-disciplinary teams -- often supported by different sponsors, with potential impact spread across different fields -- accurately linking outputs to inputs can be challenging. This research investigates whether and to what extent an online profiling system that aggregates research data around the individual researcher facilitates the processes of linking research inputs to outputs and provides benefits to scientists, institutions, publishers, and agencies. It compares the value of using different data sources, such as federal systems, institutional repositories, commercial databases, manual data entry by librarians and administrators, and data entry by the scientists themselves, to populate a prototype website that profiles computer scientists from multiple institutions. Intellectual Merit: The research breaks new ground in a variety of ways. It determines the cost and effort required to obtain each data source, including the resources needed to disambiguate names in order to link data on scientific contributions to the correct people responsible for them; it calculates the potential reduction in administrative burden each data source provides by measuring the amount of time it takes for a scientist, without the help of a researcher profiling system, to manually locate the data and enter it into an online form; and it evaluates which data sources contain the most information about high-impact cross-institutional or multi-disciplinary research, using data mining techniques to generate collaboration and topic-cluster maps. This study is appropriate for the EAGER program because it is both high-risk -- in that the outcome depends on the coordination of multiple software products, institutions, agencies and data sources in a rapid timeframe -- and high-reward, in that a successful prototype would accelerate the implementation of a national researcher profiling system that benefits multiple stakeholders. The field of Computer Science exemplifies all the challenges and potential rewards of a nation-wide researcher profiling system. Computer scientists are funded by many different agencies (NSF, NIH, DOE, DOD, NASA, etc.); their research outputs take many forms (publications, conference presentations, software, databases, algorithms, patents, etc.); and they collaborate across many disciplines (such as medicine, economics, engineering, physics, and social science). Broader impacts: A publicly-accessible national researcher-profiling system based on linked open data promises numerous benefits beyond enabling more accurate measures of return on federal investment in science. These benefits include the potential to streamline the grant application and reporting process for researchers, identify reviewers without conflicts of interest, help researchers find collaborators, match trainees and junior investigators with mentors and jobs, and enable scientists to showcase their work.Co-InvestigatorHarvard Clinical and Translational Science CenterNIH2013-09-262018-04-30NADLER, LEE MARSHALLProgram Director/Principal Investigator (Last, First, Middle): Nadler, Lee M. AdditionalPrincipal InvestigatorIdentifying cross-disciplinary pathways to translational scienceNSF/SciSIP2014-05-012017-04-30WEBER, GRIFFIN MThe National Institutes of Health Roadmap places special emphasis on accelerating "bench-to-bedside" research, or the "translation" of basic science research into practical clinical applications, which today typically takes more than 20 years to occur. The nearly $500 million the NIH spends annually on its Clinical and Translational Science Awards (CTSA) program is just one example of the large investments being made to develop a national infrastructure to support translational science. However, tracking the impact of these major policy changes is challenging because although translational science has been described in many different ways, including the frequently used qualitative T1-T4 classification, consensus on a precise definition has not yet been reached. For this reason, it has also been difficult to identify translational science, understand how it occurs, and determine which researchers are conducting it.Co-InvestigatorPatient-Centered Information CommonsNIH2014-09-292020-08-31KOHANE, ISAAC S.We propose to create a massively scalable toolkit to enable large, multi-center Patient-centered Information Commons (PIC) at local, regional and, national scale, where the focus is the alignment of all available biomedical data per individual. Such a Commons is a prerequisite for conducting the large-N, Big Data, longitudinal studies essential for understanding causation in the Precision Medicine (1) framework while simultaneously addressing key complexities of Patient Centric Outcome Research studies required under ACA (Affordable Care Act). Our proposal is solidly grounded in our experience over the last 25 in harnessing clinical care data to the research enterprise. In creating PIC we propose to focus on: 1. Enable the identification and retrieval of all data that pertain to individal health by creating a data sharing architecture that is capacious enough for all relevant data types and that enables patient and institutional autonomy to be respected. 2. Test fully-scaled implementations of the proposed architecture early in the development process, with the active involvement of a committed user community that seeks to use allowed us to refine our designs to facilitate subsequent robust dissemination and adoption. 3. Provide commodity workflows that can be used to 'clean' and complete the often noisy and sparse data gathered in the course of observational studies. 4. Embrace decentralization while enabling the construction of a nationally or regionally-scaled patient-centered information commons. 5. Encourage the selection of standards through the tools that enable the construction of patient-centered information commons. 6. Employ diagnostic classification and prognostication as figures of merit to measure how well a patient-centered information commons adds the understanding of patient populations. In addition to the research and development agenda we have also taken on the development of educational opportunities for end user community to become more familiar with the methods and challenges of data science.Principal InvestigatorModeling scientific workforce dynamics using social network analysisNIH2015-01-152019-12-31WEBER, GRIFFIN M? DESCRIPTION (provided by applicant): The scientific workforce requires teams to solve the most critical intellectual and social problems that confront us today. Scientists and inventors are embedded in self-organizing communities, where they share ideas and act both as critics and fans for each other. Recent research has shown that team collaborations, a growing trend across all disciplines, yield publications with higher intellectual impact than single researchers; and, the careers of young scientists are influenced by relationships with others in the community. Furthermore, we have found differences in the networks of women and minorities that explain some of the disparities that exist in these subgroups. Thus, we propose to develop a systems-based approach to studying scientific workforce dynamics that models the mechanisms of how new collaborations form and how these influence both the effectiveness of teams and the career trajectories of individual scientists. Obtaining the data needed to test these models may seem to be a formidable challenge. However, through prior projects, we have already brought together a unique collection of longitudinal datasets, linked at the individual person level, which will be utilized for this new study: On a national scale, PubMed (publications), NIH ExPORTER (grants), USPTO (patents - US Patent and Trademark Office), NPPES (health care providers - National Plan & Provider Enumeration System), and BoardEx (company directors and executives) provide data about individuals and teams both in academia and in industry. On a local scale, within Harvard University, we have collected detailed career data on 35,000 faculty across multiple disciplines, including sensitive information (e.g., race/ethnicity, time to promotion, grant application review scores, etc.) that are typically much more difficult to obtain. The national and local data are complementary, enabling models at different scales. This project will be undertaken by computer scientists and a behavioral and social scientist at Harvard, who recently completed an NIH-funded project to study workforce inclusion and diversity, and social scientists from the Science of Networks in Communities (SONIC) lab at Northwestern University, who are leaders in the use of Social Network Analysis (SNA) to model the socio-technical motivations of collaboration. Three specific aims are planned: (1) Develop empirically validated theoretical models that predict how teams form within the scientific workforce. We have created a multi-theoretical multilevel (MTML) model describing the possible reasons why individuals choose to collaborate. We will use Exponential Random Graph Modeling (ERGM) to test which of these hypotheses best explain the emergence of networks in the scientific workforce. (2) Determine how the assembly mechanisms of teams within the scientific workforce influence their efficacy, such as producing highly cited publications or receiving funding. (3) Determine the influence of a scientist's collaborators on hi or her career trajectory. In particular, we will look at differences in the social networks of wome and underrepresented minorities that predict advancement and retention.Principal InvestigatorVisualizing healthcare system dynamics in biomedical Big DataNIH2015-06-012019-05-31WEBER, GRIFFIN M? DESCRIPTION (provided by applicant): Electronic health records (EHR) and administrative claims databases are transforming medical research by giving investigators access to data on millions of individual patients. Compared to manual paper chart review, these databases reduce the time and cost of clinical studies by orders of magnitude, enabling types of research that were unfeasible in the past. However, investigators often incorrectly treat EHR and claims data as simply big versions of clinical trials data. Yet, there are important differences: During clinicl trials, patient information is obtained and recorded in a standardized way and checked for accuracy and completeness. In contrast, EHR and claims are observational databases, which reflect not only the health of the patients, but also their interactions with the healthcare system For example, the date associated with a code for diabetes is when the physician made the diagnosis, not when the patient first developed the disease. These observations are influenced by the dynamics of the healthcare system-when physicians schedule visits with their patients, which tests physicians decide to order, what codes need to be recorded to get reimbursed for procedures, etc. By ignoring this dimension of the data or naively treating it as noise, investigators risk both misinterpreting the true patient pathophysiology and losing valuable information content. In prior work we showed that analysis of the healthcare system dynamics (HSD) dimension of observational databases can actually be more useful than the patient pathophysiology in predicting survival, selecting matched control cohorts, identifying healthy patients, and defining normal ranges of laboratory tests. Yet, conveying the concept of HSD to researchers and helping them use it effectively is difficult. Therefore, focusing on the topic area of Data Visualization, this proposal addresses this challenge of separating healthcare system dynamics from pathophysiology in observational databases, so that Big Data researchers can use both dimensions to generate new knowledge about patient health. To do this, we bring together informatics and data visualization experts who developed two widely adopted open source software platforms for querying clinical data repositories (Informatics for Integrating Biology and the Bedside, i2b2) and developing modular data analysis and visualization tools (Science of Science, Sci2). We will leverage these systems to perform three Specific Aims: (1) Create an extensible ontology for visualizing the HSD dimensions of biomedical Big Data. (2) Develop a prototype interactive visualization to enable investigators to study HSD in Big Data. The visualization will be simple and familiar to investigators, but innovative in that for the firs time HSD will be treated as its own informative component of the data. By literally placing HSD on its own dimension, the visualization will show investigators its value and teach them how to use it for research. (3) Demonstrate and evaluate the visualizations using three sources of biomedical Big Data: EHR data from two hospital systems in Boston with a total of 7 million patients and nationwide claims data from Aetna health insurance with 34 million patients.Co-InvestigatorCollaborative Infrastructure for a Learning Healthcare SystemPCORI2015-10-012018-09-01MANDL, KENNETHCo-Principal InvestigatorSCISIPBIO: Understanding and Assembling Dream Teams to Conduct Clinical and Translational ScienceNIH2019-12-012024-11-30LUNGEANU, ALINA IONICAPrincipal InvestigatorBiases introduced by filtering electronic health records for patients with "complete data"NIH2020-09-042024-08-31WEBER, GRIFFIN Mhttp://www.ncbi.nlm.nih.gov/pubmed/40519674Bridging the Gap: The State of Global Transplant Research Collaboration. Transplant Direct. 2025 Jul; 11(7):e1819.Faria I, Canizares S, Montalvan A, Martins PN, Weber GM, Kazimi M, Eckhoff DE. Transplant Direct2025 Jul11(7):e1819http://www.ncbi.nlm.nih.gov/pubmed/40322502uCite: The union of nine large-scale public PubMed citation datasets with reliability filtering. Data Brief. 2025 Jun; 60:111535.Fang L, Salami MO, Weber GM, Torvik VI. Data Brief2025 Jun60:111535http://www.ncbi.nlm.nih.gov/pubmed/40082611Human BioMolecular Atlas Program (HuBMAP): 3D Human Reference Atlas construction and usage. Nat Methods. 2025 Apr; 22(4):845-860.Börner K, Blood PD, Silverstein JC, Ruffalo M, Satija R, Teichmann SA, Pryhuber GJ, Misra RS, Purkerson JM, Fan J, Hickey JW, Molla G, Xu C, Zhang Y, Weber GM, Jain Y, Qaurooni D, Kong Y, Bueckle A, Herr BW. Nat Methods2025 Apr22(4):845-860http://www.ncbi.nlm.nih.gov/pubmed/39934102Functional tissue units in the Human Reference Atlas. Nat Commun. 2025 Feb 11; 16(1):1526.Bidanta S, Börner K, Herr Ii BW, Quardokus EM, Nagy M, Gustilo KS, Bajema R, Maier E, Molontay R, Weber GM. Nat Commun2025 Feb 1116(1):1526http://www.ncbi.nlm.nih.gov/pubmed/39867368Understanding Data Differences across the ENACT Federated Research Network. medRxiv. 2025 Jan 17.Wang TD, Henderson DW, Weber GM, Morris M, Sadhu EM, Murphy SN, Visweswaran S, Klann JG. medRxiv2025 Jan 17http://www.ncbi.nlm.nih.gov/pubmed/39110920Towards cross-application model-agnostic federated cohort discovery. J Am Med Inform Assoc. 2024 Oct 01; 31(10):2202-2209.Dobbins NJ, Morris M, Sadhu E, MacFadden D, Nazaire MD, Simons W, Weber G, Murphy S, Visweswaran S. J Am Med Inform Assoc2024 Oct 0131(10):2202-2209http://www.ncbi.nlm.nih.gov/pubmed/39253466Vasculature segmentation in 3D hierarchical phase-contrast tomography images of human kidneys. bioRxiv. 2024 Aug 26.Jain Y, Walsh CL, Yagis E, Aslani S, Nandanwar S, Zhou Y, Ha J, Gustilo KS, Brunet J, Rahmani S, Tafforeau P, Bellier A, Weber GM, Lee PD, Börner K. bioRxiv2024 Aug 26http://www.ncbi.nlm.nih.gov/pubmed/38826261Human BioMolecular Atlas Program (HuBMAP): 3D Human Reference Atlas Construction and Usage. bioRxiv. 2024 Aug 14.Börner K, Blood PD, Silverstein JC, Ruffalo M, Satija R, Teichmann SA, Pryhuber G, Misra RS, Purkerson J, Fan J, Hickey JW, Molla G, Xu C, Zhang Y, Weber G, Jain Y, Qaurooni D, Kong Y, Bueckle A, Herr BW. bioRxiv2024 Aug 14http://www.ncbi.nlm.nih.gov/pubmed/38962404SlowMoMan: a web app for discovery of important features along user-drawn trajectories in 2D embeddings. Bioinform Adv. 2024; 4(1):vbae095.Deol K, Weber GM, Yu YW. Bioinform Adv20244(1):vbae095http://www.ncbi.nlm.nih.gov/pubmed/38547908Mapping the Anatomy of the Human Lymphatic System. J Reconstr Microsurg. 2024 Nov; 40(9):672-679.Bustos VP, Wang R, Pardo J, Boppana A, Weber G, Itkin M, Singhal D. J Reconstr Microsurg2024 Nov40(9):672-679http://www.ncbi.nlm.nih.gov/pubmed/37632234A broadly applicable approach to enrich electronic-health-record cohorts by identifying patients with complete data: a multisite evaluation. J Am Med Inform Assoc. 2023 11 17; 30(12):1985-1994.Klann JG, Henderson DW, Morris M, Estiri H, Weber GM, Visweswaran S, Murphy SN. J Am Med Inform Assoc2023 11 1730(12):1985-1994http://www.ncbi.nlm.nih.gov/pubmed/37905079Functional Tissue Units in the Human Reference Atlas. bioRxiv. 2023 Oct 26.Bidanta S, Börner K, Herr BW, Nagy M, Gustilo KS, Bajema R, Maier L, Molontay R, Weber G. bioRxiv2023 Oct 26http://www.ncbi.nlm.nih.gov/pubmed/37852844The power of partnership: Exploring collaboration dynamics in U.S. transplant research. Am J Surg. 2024 01; 227:24-33.Faria I, Montalvan A, Canizares S, Martins PN, Weber GM, Kazimi M, Eckhoff D. Am J Surg2024 01227:24-33http://www.ncbi.nlm.nih.gov/pubmed/37468503Anatomical structures, cell types, and biomarkers of the healthy human blood vasculature. Sci Data. 2023 07 19; 10(1):452.Boppana A, Lee S, Malhotra R, Halushka M, Gustilo KS, Quardokus EM, Herr BW, Börner K, Weber GM. Sci Data2023 07 1910(1):452http://www.ncbi.nlm.nih.gov/pubmed/37227772Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies. J Med Internet Res. 2023 05 25; 25:e45662.Hou J, Zhao R, Gronsbell J, Lin Y, Bonzel CL, Zeng Q, Zhang S, Beaulieu-Jones BK, Weber GM, Jemielita T, Wan SS, Hong C, Cai T, Wen J, Ayakulangara Panickan V, Liaw KL, Liao K, Cai T. J Med Internet Res2023 05 2525:e45662http://www.ncbi.nlm.nih.gov/pubmed/37055567Potential pitfalls in the use of real-world data for studying long COVID. Nat Med. 2023 05; 29(5):1040-1043.Zhang HG, Honerlaw JP, Maripuri M, Samayamuthu MJ, Beaulieu-Jones BR, Baig HS, L'Yi S, Ho YL, Morris M, Panickan VA, Wang X, Weber GM, Liao KP, Visweswaran S, Tan BWQ, Yuan W, Gehlenborg N, Muralidhar S, Ramoni RB, Kohane IS, Xia Z, Cho K, Cai T, Brat GA. Nat Med2023 0529(5):1040-1043http://www.ncbi.nlm.nih.gov/pubmed/36814475Mapping the lymphatic system across body scales and expertise domains: A report from the 2021 National Heart, Lung, and Blood Institute workshop at the Boston Lymphatic Symposium. Front Physiol. 2023; 14:1099403.Singhal D, Börner K, Chaikof EL, Detmar M, Hollmén M, Iliff JJ, Itkin M, Makinen T, Oliver G, Padera TP, Quardokus EM, Radtke AJ, Suami H, Weber GM, Rovira II, Muratoglu SC, Galis ZS. Front Physiol202314:1099403http://www.ncbi.nlm.nih.gov/pubmed/36738870Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? J Biomed Inform. 2023 03; 139:104306.Tan ALM, Getzen EJ, Hutch MR, Strasser ZH, Gutiérrez-Sacristán A, Le TT, Dagliati A, Morris M, Hanauer DA, Moal B, Bonzel CL, Yuan W, Chiudinelli L, Das P, Zhang HG, Aronow BJ, Avillach P, Brat GA, Cai T, Hong C, La Cava WG, Hooi Will Loh H, Luo Y, Murphy SN, Yuan Hgiam K, Omenn GS, Patel LP, Jebathilagam Samayamuthu M, Shriver ER, Shakeri Hossein Abad Z, Tan BWL, Visweswaran S, Wang X, Weber GM, Xia Z, Verdy B, Long Q, Mowery DL, Holmes JH. J Biomed Inform2023 03139:104306http://www.ncbi.nlm.nih.gov/pubmed/36740041Antiplatelet medications and intracranial hemorrhage in patients with primary brain tumors. J Thromb Haemost. 2023 05; 21(5):1148-1155.Ma S, Patell R, Miller E, Ren S, Marquez-Garcia J, Panoff S, Sharma R, Pinson A, Elavalakanar P, Weber G, Uhlmann E, Neuberg D, Soman S, Zwicker JI. J Thromb Haemost2023 0521(5):1148-1155http://www.ncbi.nlm.nih.gov/pubmed/36598895Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: International observational federated study based on electronic health records through the 4CE consortium. PLoS One. 2023; 18(1):e0266985.Moal B, Orieux A, Ferté T, Neuraz A, Brat GA, Avillach P, Bonzel CL, Cai T, Cho K, Cossin S, Griffier R, Hanauer DA, Haverkamp C, Ho YL, Hong C, Hutch MR, Klann JG, Le TT, Loh NHW, Luo Y, Makoudjou A, Morris M, Mowery DL, Olson KL, Patel LP, Samayamuthu MJ, Sanz Vidorreta FJ, Schriver ER, Schubert P, Verdy G, Visweswaran S, Wang X, Weber GM, Xia Z, Yuan W, Zhang HG, Zöller D, Kohane IS, Boyer A, Jouhet V. PLoS One202318(1):e0266985http://www.ncbi.nlm.nih.gov/pubmed/36513738Tissue registration and exploration user interfaces in support of a human reference atlas. Commun Biol. 2022 12 13; 5(1):1369.Börner K, Bueckle A, Herr BW, Cross LE, Quardokus EM, Record EG, Ju Y, Silverstein JC, Browne KM, Jain S, Wasserfall CH, Jorgensen ML, Spraggins JM, Patterson NH, Weber GM. Commun Biol2022 12 135(1):1369http://www.ncbi.nlm.nih.gov/pubmed/36381999Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: An international multi-centre observational cohort study. EClinicalMedicine. 2023 Jan; 55:101724.Tan BWL, Tan BWQ, Tan ALM, Schriver ER, Gutiérrez-Sacristán A, Das P, Yuan W, Hutch MR, García Barrio N, Pedrera Jimenez M, Abu-El-Rub N, Morris M, Moal B, Verdy G, Cho K, Ho YL, Patel LP, Dagliati A, Neuraz A, Klann JG, South AM, Visweswaran S, Hanauer DA, Maidlow SE, Liu M, Mowery DL, Batugo A, Makoudjou A, Tippmann P, Zöller D, Brat GA, Luo Y, Avillach P, Bellazzi R, Chiovato L, Malovini A, Tibollo V, Samayamuthu MJ, Serrano Balazote P, Xia Z, Loh NHW, Chiudinelli L, Bonzel CL, Hong C, Zhang HG, Weber GM, Kohane IS, Cai T, Omenn GS, Holmes JH, Ngiam KY. EClinicalMedicine2023 Jan55:101724http://www.ncbi.nlm.nih.gov/pubmed/36007785SurvMaximin: Robust federated approach to transporting survival risk prediction models. J Biomed Inform. 2022 10; 134:104176.Wang X, Zhang HG, Xiong X, Hong C, Weber GM, Brat GA, Bonzel CL, Luo Y, Duan R, Palmer NP, Hutch MR, Gutiérrez-Sacristán A, Bellazzi R, Chiovato L, Cho K, Dagliati A, Estiri H, García-Barrio N, Griffier R, Hanauer DA, Ho YL, Holmes JH, Keller MS, Klann MEng JG, L'Yi S, Lozano-Zahonero S, Maidlow SE, Makoudjou A, Malovini A, Moal B, Moore JH, Morris M, Mowery DL, Murphy SN, Neuraz A, Yuan Ngiam K, Omenn GS, Patel LP, Pedrera-Jiménez M, Prunotto A, Jebathilagam Samayamuthu M, Sanz Vidorreta FJ, Schriver ER, Schubert P, Serrano-Balazote P, South AM, Tan ALM, Tan BWL, Tibollo V, Tippmann P, Visweswaran S, Xia Z, Yuan W, Zöller D, Kohane IS, Avillach P, Guo Z, Cai T. J Biomed Inform2022 10134:104176http://www.ncbi.nlm.nih.gov/pubmed/35872264Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence. J Biomed Inform. 2022 10; 134:104151.Liu D, Fox K, Weber G, Miller T. J Biomed Inform2022 10134:104151http://www.ncbi.nlm.nih.gov/pubmed/35872266Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization. J Biomed Inform. 2022 09; 133:104147.Zhou D, Gan Z, Shi X, Patwari A, Rush E, Bonzel CL, Panickan VA, Hong C, Ho YL, Cai T, Costa L, Li X, Castro VM, Murphy SN, Brat G, Weber G, Avillach P, Gaziano JM, Cho K, Liao KP, Lu J, Cai T. J Biomed Inform2022 09133:104147http://www.ncbi.nlm.nih.gov/pubmed/35768548International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. NPJ Digit Med. 2022 Jun 29; 5(1):81.Zhang HG, Dagliati A, Shakeri Hossein Abad Z, Xiong X, Bonzel CL, Xia Z, Tan BWQ, Avillach P, Brat GA, Hong C, Morris M, Visweswaran S, Patel LP, Gutiérrez-Sacristán A, Hanauer DA, Holmes JH, Samayamuthu MJ, Bourgeois FT, L'Yi S, Maidlow SE, Moal B, Murphy SN, Strasser ZH, Neuraz A, Ngiam KY, Loh NHW, Omenn GS, Prunotto A, Dalvin LA, Klann JG, Schubert P, Vidorreta FJS, Benoit V, Verdy G, Kavuluru R, Estiri H, Luo Y, Malovini A, Tibollo V, Bellazzi R, Cho K, Ho YL, Tan ALM, Tan BWL, Gehlenborg N, Lozano-Zahonero S, Jouhet V, Chiovato L, Aronow BJ, Toh EMS, Wong WGS, Pizzimenti S, Wagholikar KB, Bucalo M, Cai T, South AM, Kohane IS, Weber GM. NPJ Digit Med2022 Jun 295(1):81http://www.ncbi.nlm.nih.gov/pubmed/35738646Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2. BMJ Open. 2022 06 23; 12(6):e057725.Hong C, Zhang HG, L'Yi S, Weber G, Avillach P, Tan BWQ, Gutiérrez-Sacristán A, Bonzel CL, Palmer NP, Malovini A, Tibollo V, Luo Y, Hutch MR, Liu M, Bourgeois F, Bellazzi R, Chiovato L, Sanz Vidorreta FJ, Le TT, Wang X, Yuan W, Neuraz A, Benoit V, Moal B, Morris M, Hanauer DA, Maidlow S, Wagholikar K, Murphy S, Estiri H, Makoudjou A, Tippmann P, Klann J, Follett RW, Gehlenborg N, Omenn GS, Xia Z, Dagliati A, Visweswaran S, Patel LP, Mowery DL, Schriver ER, Samayamuthu MJ, Kavuluru R, Lozano-Zahonero S, Zöller D, Tan ALM, Tan BWL, Ngiam KY, Holmes JH, Schubert P, Cho K, Ho YL, Beaulieu-Jones BK, Pedrera-Jiménez M, García-Barrio N, Serrano-Balazote P, Kohane I, South A, Brat GA, Cai T. BMJ Open2022 06 2312(6):e057725http://www.ncbi.nlm.nih.gov/pubmed/35697747International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. NPJ Digit Med. 2022 Jun 13; 5(1):74.Weber GM, Hong C, Xia Z, Palmer NP, Avillach P, L'Yi S, Keller MS, Murphy SN, Gutiérrez-Sacristán A, Bonzel CL, Serret-Larmande A, Neuraz A, Omenn GS, Visweswaran S, Klann JG, South AM, Loh NHW, Cannataro M, Beaulieu-Jones BK, Bellazzi R, Agapito G, Alessiani M, Aronow BJ, Bell DS, Benoit V, Bourgeois FT, Chiovato L, Cho K, Dagliati A, DuVall SL, Barrio NG, Hanauer DA, Ho YL, Holmes JH, Issitt RW, Liu M, Luo Y, Lynch KE, Maidlow SE, Malovini A, Mandl KD, Mao C, Matheny ME, Moore JH, Morris JS, Morris M, Mowery DL, Ngiam KY, Patel LP, Pedrera-Jimenez M, Ramoni RB, Schriver ER, Schubert P, Balazote PS, Spiridou A, Tan ALM, Tan BWL, Tibollo V, Torti C, Trecarichi EM, Wang X, Kohane IS, Cai T, Brat GA. NPJ Digit Med2022 Jun 135(1):74http://www.ncbi.nlm.nih.gov/pubmed/35476727Distinguishing Admissions Specifically for COVID-19 From Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study. J Med Internet Res. 2022 05 18; 24(5):e37931.Klann JG, Strasser ZH, Hutch MR, Kennedy CJ, Marwaha JS, Morris M, Samayamuthu MJ, Pfaff AC, Estiri H, South AM, Weber GM, Yuan W, Avillach P, Wagholikar KB, Luo Y, Omenn GS, Visweswaran S, Holmes JH, Xia Z, Brat GA, Murphy SN. J Med Internet Res2022 05 1824(5):e37931http://www.ncbi.nlm.nih.gov/pubmed/35086145Antiplatelet medications and risk of intracranial hemorrhage in patients with metastatic brain tumors. Blood Adv. 2022 03 08; 6(5):1559-1565.Miller EJ, Patell R, Uhlmann EJ, Ren S, Southard H, Elavalakanar P, Weber GM, Neuberg D, Zwicker JI. Blood Adv2022 03 086(5):1559-1565http://www.ncbi.nlm.nih.gov/pubmed/35350202Distinguishing Admissions Specifically for COVID-19 from Incidental SARS-CoV-2 Admissions: A National EHR Research Consortium Study. medRxiv. 2022 Feb 18.Klann JG, Strasser ZH, Hutch MR, Kennedy CJ, Marwaha JS, Morris M, Samayamuthu MJ, Pfaff AC, Estiri H, South AM, Weber GM, Yuan W, Avillach P, Wagholikar KB, Luo Y, Omenn GS, Visweswaran S, Holmes JH, Xia Z, Brat GA, Murphy SN. medRxiv2022 Feb 18http://www.ncbi.nlm.nih.gov/pubmed/34889759Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study. J Med Internet Res. 2021 Nov 30; 23(11):e34625.Weber GM, Zhang HG, L'Yi S, Bonzel CL, Hong C, Avillach P, Gutiérrez-Sacristán A, Palmer NP, Tan ALM, Wang X, Yuan W, Gehlenborg N, Alloni A, Amendola DF, Bellasi A, Bellazzi R, Beraghi M, Bucalo M, Chiovato L, Cho K, Dagliati A, Estiri H, Follett RW, García Barrio N, Hanauer DA, Henderson DW, Ho YL, Holmes JH, Hutch MR, Kavuluru R, Kirchoff K, Klann JG, Krishnamurthy AK, Le TT, Liu M, Loh NHW, Lozano-Zahonero S, Luo Y, Maidlow S, Makoudjou A, Malovini A, Martins MR, Moal B, Morris M, Mowery DL, Murphy SN, Neuraz A, Ngiam KY, Okoshi MP, Omenn GS, Patel LP, Pedrera Jiménez M, Prudente RA, Samayamuthu MJ, Sanz Vidorreta FJ, Schriver ER, Schubert P, Serrano Balazote P, Tan BW, Tanni SE, Tibollo V, Visweswaran S, Wagholikar KB, Xia Z, Zöller D, Kohane IS, Cai T, South AM, Brat GA. J Med Internet Res2021 Nov 3023(11):e34625http://www.ncbi.nlm.nih.gov/pubmed/34608931ATLAS: an automated association test using probabilistically linked health records with application to genetic studies. J Am Med Inform Assoc. 2021 11 25; 28(12):2582-2592.Zhang HG, Hejblum BP, Weber GM, Palmer NP, Churchill SE, Szolovits P, Murphy SN, Liao KP, Kohane IS, Cai T. J Am Med Inform Assoc2021 11 2528(12):2582-2592http://www.ncbi.nlm.nih.gov/pubmed/34750582Anatomical structures, cell types and biomarkers of the Human Reference Atlas. Nat Cell Biol. 2021 11; 23(11):1117-1128.Börner K, Teichmann SA, Quardokus EM, Gee JC, Browne K, Osumi-Sutherland D, Herr BW, Bueckle A, Paul H, Haniffa M, Jardine L, Bernard A, Ding SL, Miller JA, Lin S, Halushka MK, Boppana A, Longacre TA, Hickey J, Lin Y, Valerius MT, He Y, Pryhuber G, Sun X, Jorgensen M, Radtke AJ, Wasserfall C, Ginty F, Ho J, Sunshine J, Beuschel RT, Brusko M, Lee S, Malhotra R, Jain S, Weber G. Nat Cell Biol2021 1123(11):1117-1128http://www.ncbi.nlm.nih.gov/pubmed/34533459International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study. J Med Internet Res. 2021 10 11; 23(10):e31400.Weber GM, Zhang HG, L'Yi S, Bonzel CL, Hong C, Avillach P, Gutiérrez-Sacristán A, Palmer NP, Tan ALM, Wang X, Yuan W, Gehlenborg N, Alloni A, Amendola DF, Bellasi A, Bellazzi R, Beraghi M, Bucalo M, Chiovato L, Cho K, Dagliati A, Estiri H, Follett RW, García Barrio N, Hanauer DA, Henderson DW, Ho YL, Holmes JH, Hutch MR, Kavuluru R, Kirchoff K, Klann JG, Krishnamurthy AK, Le TT, Liu M, Loh NHW, Lozano-Zahonero S, Luo Y, Maidlow S, Makoudjou A, Malovini A, Martins MR, Moal B, Morris M, Mowery DL, Murphy SN, Neuraz A, Ngiam KY, Okoshi MP, Omenn GS, Patel LP, Pedrera Jiménez M, Prudente RA, Samayamuthu MJ, Sanz Vidorreta FJ, Schriver ER, Schubert P, Serrano Balazote P, Tan BW, Tanni SE, Tibollo V, Visweswaran S, Wagholikar KB, Xia Z, Zöller D, Kohane IS, Cai T, South AM, Brat GA. J Med Internet Res2021 10 1123(10):e31400http://www.ncbi.nlm.nih.gov/pubmed/33566082Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J Am Med Inform Assoc. 2021 07 14; 28(7):1411-1420.Klann JG, Estiri H, Weber GM, Moal B, Avillach P, Hong C, Tan ALM, Beaulieu-Jones BK, Castro V, Maulhardt T, Geva A, Malovini A, South AM, Visweswaran S, Morris M, Samayamuthu MJ, Omenn GS, Ngiam KY, Mandl KD, Boeker M, Olson KL, Mowery DL, Follett RW, Hanauer DA, Bellazzi R, Moore JH, Loh NW, Bell DS, Wagholikar KB, Chiovato L, Tibollo V, Rieg S, Li ALLJ, Jouhet V, Schriver E, Xia Z, Hutch M, Luo Y, Kohane IS, Brat GA, Murphy SN. J Am Med Inform Assoc2021 07 1428(7):1411-1420http://www.ncbi.nlm.nih.gov/pubmed/34252969Expected 10-anonymity of HyperLogLog sketches for federated queries of clinical data repositories. Bioinformatics. 2021 07 12; 37(Suppl_1):i151-i160.Tao Z, Weber GM, Yu YW. Bioinformatics2021 07 1237(Suppl_1):i151-i160http://www.ncbi.nlm.nih.gov/pubmed/34115127International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries. JAMA Netw Open. 2021 06 01; 4(6):e2112596.Bourgeois FT, Gutiérrez-Sacristán A, Keller MS, Liu M, Hong C, Bonzel CL, Tan ALM, Aronow BJ, Boeker M, Booth J, Cruz Rojo J, Devkota B, García Barrio N, Gehlenborg N, Geva A, Hanauer DA, Hutch MR, Issitt RW, Klann JG, Luo Y, Mandl KD, Mao C, Moal B, Moshal KL, Murphy SN, Neuraz A, Ngiam KY, Omenn GS, Patel LP, Jiménez MP, Sebire NJ, Balazote PS, Serret-Larmande A, South AM, Spiridou A, Taylor DM, Tippmann P, Visweswaran S, Weber GM, Kohane IS, Cai T, Avillach P. JAMA Netw Open2021 06 014(6):e2112596http://www.ncbi.nlm.nih.gov/pubmed/34113801Development of a Coronavirus Disease 2019 (COVID-19) Application Ontology for the Accrual to Clinical Trials (ACT) network. JAMIA Open. 2021 Apr; 4(2):ooab036.Visweswaran S, Samayamuthu MJ, Morris M, Weber GM, MacFadden D, Trevvett P, Klann JG, Gainer VS, Benoit B, Murphy SN, Patel L, Mirkovic N, Borovskiy Y, Johnson RD, Wyatt MC, Wang AY, Follett RW, Chau N, Zhu W, Abajian M, Chuang A, Bahroos N, Reeder P, Xie D, Cai J, Sendro ER, Toto RD, Firestein GS, Nadler LM, Reis SE. JAMIA Open2021 Apr4(2):ooab036http://www.ncbi.nlm.nih.gov/pubmed/33791734Development of a COVID-19 Application Ontology for the ACT Network. medRxiv. 2021 Apr 14.Visweswaran S, Samayamuthu MJ, Morris M, Weber GM, MacFadden D, Trevvett P, Klann JG, Gainer V, Benoit B, Murphy SN, Patel L, Mirkovic N, Borovskiy Y, Johnson RD, Wyatt MC, Wang AY, Follett RW, Chau N, Zhu W, Abajian M, Chuang A, Bahroos N, Reeder P, Xie D, Cai J, Sendro ER, Toto RD, Firestein GS, Nadler LM, Reis SE. medRxiv2021 Apr 14http://www.ncbi.nlm.nih.gov/pubmed/33785839Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians? NPJ Digit Med. 2021 Mar 30; 4(1):62.Beaulieu-Jones BK, Yuan W, Brat GA, Beam AL, Weber G, Ruffin M, Kohane IS. NPJ Digit Med2021 Mar 304(1):62http://www.ncbi.nlm.nih.gov/pubmed/33600347What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask. J Med Internet Res. 2021 03 02; 23(3):e22219.Kohane IS, Aronow BJ, Avillach P, Beaulieu-Jones BK, Bellazzi R, Bradford RL, Brat GA, Cannataro M, Cimino JJ, García-Barrio N, Gehlenborg N, Ghassemi M, Gutiérrez-Sacristán A, Hanauer DA, Holmes JH, Hong C, Klann JG, Loh NHW, Luo Y, Mandl KD, Daniar M, Moore JH, Murphy SN, Neuraz A, Ngiam KY, Omenn GS, Palmer N, Patel LP, Pedrera-Jiménez M, Sliz P, South AM, Tan ALM, Taylor DM, Taylor BW, Torti C, Vallejos AK, Wagholikar KB, Weber GM, Cai T. J Med Internet Res2021 03 0223(3):e22219http://www.ncbi.nlm.nih.gov/pubmed/32805036The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. J Am Med Inform Assoc. 2021 03 01; 28(3):427-443.Haendel MA, Chute CG, Bennett TD, Eichmann DA, Guinney J, Kibbe WA, Payne PRO, Pfaff ER, Robinson PN, Saltz JH, Spratt H, Suver C, Wilbanks J, Wilcox AB, Williams AE, Wu C, Blacketer C, Bradford RL, Cimino JJ, Clark M, Colmenares EW, Francis PA, Gabriel D, Graves A, Hemadri R, Hong SS, Hripscak G, Jiao D, Klann JG, Kostka K, Lee AM, Lehmann HP, Lingrey L, Miller RT, Morris M, Murphy SN, Natarajan K, Palchuk MB, Sheikh U, Solbrig H, Visweswaran S, Walden A, Walters KM, Weber GM, Zhang XT, Zhu RL, Amor B, Girvin AT, Manna A, Qureshi N, Kurilla MG, Michael SG, Portilla LM, Rutter JL, Austin CP, Gersing KR. J Am Med Inform Assoc2021 03 0128(3):427-443http://www.ncbi.nlm.nih.gov/pubmed/33564777International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study. medRxiv. 2021 Feb 05.Weber GM, Hong C, Palmer NP, Avillach P, Murphy SN, Gutiérrez-Sacristán A, Xia Z, Serret-Larmande A, Neuraz A, Omenn GS, Visweswaran S, Klann JG, South AM, Loh NHW, Cannataro M, Beaulieu-Jones BK, Bellazzi R, Agapito G, Alessiani M, Aronow BJ, Bell DS, Bellasi A, Benoit V, Beraghi M, Boeker M, Booth J, Bosari S, Bourgeois FT, Brown NW, Bucalo M, Chiovato L, Chiudinelli L, Dagliati A, Devkota B, DuVall SL, Follett RW, Ganslandt T, García Barrio N, Gradinger T, Griffier R, Hanauer DA, Holmes JH, Horki P, Huling KM, Issitt RW, Jouhet V, Keller MS, Kraska D, Liu M, Luo Y, Lynch KE, Malovini A, Mandl KD, Mao C, Maram A, Matheny ME, Maulhardt T, Mazzitelli M, Milano M, Moore JH, Morris JS, Morris M, Mowery DL, Naughton TP, Ngiam KY, Norman JB, Patel LP, Pedrera Jimenez M, Ramoni RB, Schriver ER, Scudeller L, Sebire NJ, Serrano Balazote P, Spiridou A, Tan AL, Tan BW, Tibollo V, Torti C, Trecarichi EM, Vitacca M, Zambelli A, Zucco C, Kohane IS, Cai T, Brat GA. medRxiv2021 Feb 05http://www.ncbi.nlm.nih.gov/pubmed/33141090Balancing Accuracy and Privacy in Federated Queries of Clinical Data Repositories: Algorithm Development and Validation. J Med Internet Res. 2020 11 03; 22(11):e18735.Yu YW, Weber GM. J Med Internet Res2020 11 0322(11):e18735http://www.ncbi.nlm.nih.gov/pubmed/32864472International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. NPJ Digit Med. 2020; 3:109.Brat GA, Weber GM, Gehlenborg N, Avillach P, Palmer NP, Chiovato L, Cimino J, Waitman LR, Omenn GS, Malovini A, Moore JH, Beaulieu-Jones BK, Tibollo V, Murphy SN, Yi SL, Keller MS, Bellazzi R, Hanauer DA, Serret-Larmande A, Gutierrez-Sacristan A, Holmes JJ, Bell DS, Mandl KD, Follett RW, Klann JG, Murad DA, Scudeller L, Bucalo M, Kirchoff K, Craig J, Obeid J, Jouhet V, Griffier R, Cossin S, Moal B, Patel LP, Bellasi A, Prokosch HU, Kraska D, Sliz P, Tan ALM, Ngiam KY, Zambelli A, Mowery DL, Schiver E, Devkota B, Bradford RL, Daniar M, Daniel C, Benoit V, Bey R, Paris N, Serre P, Orlova N, Dubiel J, Hilka M, Jannot AS, Breant S, Leblanc J, Griffon N, Burgun A, Bernaux M, Sandrin A, Salamanca E, Cormont S, Ganslandt T, Gradinger T, Champ J, Boeker M, Martel P, Esteve L, Gramfort A, Grisel O, Leprovost D, Moreau T, Varoquaux G, Vie JJ, Wassermann D, Mensch A, Caucheteux C, Haverkamp C, Lemaitre G, Bosari S, Krantz ID, South A, Cai T, Kohane IS. NPJ Digit Med20203:109http://www.ncbi.nlm.nih.gov/pubmed/32685895Anticoagulation after intracranial hemorrhage in brain tumors: Risk of recurrent hemorrhage and venous thromboembolism. Res Pract Thromb Haemost. 2020 Jul; 4(5):860-865.Carney BJ, Uhlmann EJ, Puligandla M, Mantia C, Weber GM, Neuberg DS, Zwicker JI. Res Pract Thromb Haemost2020 Jul4(5):860-865http://www.ncbi.nlm.nih.gov/pubmed/38288326HyperMinHash: MinHash in LogLog space. IEEE Trans Knowl Data Eng. 2022 Jan; 34(1):328-339.Yu YW, Weber GM. IEEE Trans Knowl Data Eng2022 Jan34(1):328-339http://www.ncbi.nlm.nih.gov/pubmed/32232057Considerations for Using the Vasculature as a Coordinate System to Map All the Cells in the Human Body. Front Cardiovasc Med. 2020; 7:29.Weber GM, Ju Y, Börner K. Front Cardiovasc Med20207:29http://www.ncbi.nlm.nih.gov/pubmed/32211868Validation of an Electronic Health Record-Based Suicide Risk Prediction Modeling Approach Across Multiple Health Care Systems. JAMA Netw Open. 2020 03 02; 3(3):e201262.Barak-Corren Y, Castro VM, Nock MK, Mandl KD, Madsen EM, Seiger A, Adams WG, Applegate RJ, Bernstam EV, Klann JG, McCarthy EP, Murphy SN, Natter M, Ostasiewski B, Patibandla N, Rosenthal GE, Silva GS, Wei K, Weber GM, Weiler SR, Reis BY, Smoller JW. JAMA Netw Open2020 03 023(3):e201262http://www.ncbi.nlm.nih.gov/pubmed/31797605Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data. Pac Symp Biocomput. 2020; 25:295-306.Beam AL, Kompa B, Schmaltz A, Fried I, Weber G, Palmer N, Shi X, Cai T, Kohane IS. Pac Symp Biocomput202025:295-306http://www.ncbi.nlm.nih.gov/pubmed/30620344Probabilistic record linkage of de-identified research datasets with discrepancies using diagnosis codes. Sci Data. 2019 01 08; 6:180298.Hejblum BP, Weber GM, Liao KP, Palmer NP, Churchill S, Shadick NA, Szolovits P, Murphy SN, Kohane IS, Cai T. Sci Data2019 01 086:180298http://www.ncbi.nlm.nih.gov/pubmed/30450803Intracranial hemorrhage with direct oral anticoagulants in patients with brain tumors. J Thromb Haemost. 2019 01; 17(1):72-76.Carney BJ, Uhlmann EJ, Puligandla M, Mantia C, Weber GM, Neuberg DS, Zwicker JI. J Thromb Haemost2019 0117(1):72-76http://www.ncbi.nlm.nih.gov/pubmed/30266789Literature-based automated discovery of tumor suppressor p53 phosphorylation and inhibition by NEK2. Proc Natl Acad Sci U S A. 2018 10 16; 115(42):10666-10671.Choi BK, Dayaram T, Parikh N, Wilkins AD, Nagarajan M, Novikov IB, Bachman BJ, Jung SY, Haas PJ, Labrie JL, Pickering CR, Adikesavan AK, Regenbogen S, Kato L, Lelescu A, Buchovecky CM, Zhang H, Bao SH, Boyer S, Weber G, Scott KL, Chen Y, Spangler S, Donehower LA, Lichtarge O. Proc Natl Acad Sci U S A2018 10 16115(42):10666-10671http://www.ncbi.nlm.nih.gov/pubmed/29712648Biases in electronic health record data due to processes within the healthcare system: retrospective observational study. BMJ. 2018 04 30; 361:k1479.Agniel D, Kohane IS, Weber GM. BMJ2018 04 30361:k1479http://www.ncbi.nlm.nih.gov/pubmed/29679716Using Artificial Intelligence in an Intelligent Way to Improve Efficiency of a Heart Failure Care Team. J Card Fail. 2018 06; 24(6):363-364.Weber GM. J Card Fail2018 0624(6):363-364http://www.ncbi.nlm.nih.gov/pubmed/29016972Biases introduced by filtering electronic health records for patients with "complete data". J Am Med Inform Assoc. 2017 Nov 01; 24(6):1134-1141.Weber GM, Adams WG, Bernstam EV, Bickel JP, Fox KP, Marsolo K, Raghavan VA, Turchin A, Zhou X, Murphy SN, Mandl KD. J Am Med Inform Assoc2017 Nov 0124(6):1134-1141http://www.ncbi.nlm.nih.gov/pubmed/28771391Gender Differences in Receipt of National Institutes of Health R01 Grants Among Junior Faculty at an Academic Medical Center: The Role of Connectivity, Rank, and Research Productivity. J Womens Health (Larchmt). 2017 10; 26(10):1086-1093.Warner ET, Carapinha R, Weber GM, Hill EV, Reede JY. J Womens Health (Larchmt)2017 1026(10):1086-1093http://www.ncbi.nlm.nih.gov/pubmed/28468796Predicting the higher rate of intracranial hemorrhage in glioma patients receiving therapeutic enoxaparin. Blood. 2017 06 22; 129(25):3379-3385.Mantia C, Uhlmann EJ, Puligandla M, Weber GM, Neuberg D, Zwicker JI. Blood2017 06 22129(25):3379-3385http://www.ncbi.nlm.nih.gov/pubmed/27438317Effect of Targeting Inflammation With Salsalate: The TINSAL-CVD Randomized Clinical Trial on Progression of Coronary Plaque in Overweight and Obese Patients Using Statins. JAMA Cardiol. 2016 07 01; 1(4):413-23.Hauser TH, Salastekar N, Schaefer EJ, Desai T, Goldfine HL, Fowler KM, Weber GM, Welty F, Clouse M, Shoelson SE, Goldfine AB. JAMA Cardiol2016 07 011(4):413-23http://www.ncbi.nlm.nih.gov/pubmed/26173540Faculty Promotion and Attrition: The Importance of Coauthor Network Reach at an Academic Medical Center. J Gen Intern Med. 2016 Jan; 31(1):60-7.Warner ET, Carapinha R, Weber GM, Hill EV, Reede JY. J Gen Intern Med2016 Jan31(1):60-7http://www.ncbi.nlm.nih.gov/pubmed/25853687Considering context in academic medicine: differences in demographic and professional characteristics and in research productivity and advancement metrics across seven clinical departments. Acad Med. 2015 Aug; 90(8):1077-83.Warner ET, Carapinha R, Weber GM, Hill EV, Reede JY. Acad Med2015 Aug90(8):1077-83http://www.ncbi.nlm.nih.gov/pubmed/25987658Intracranial hemorrhage in patients with brain metastases treated with therapeutic enoxaparin: a matched cohort study. Blood. 2015 Jul 23; 126(4):494-9.Donato J, Campigotto F, Uhlmann EJ, Coletti E, Neuberg D, Weber GM, Zwicker JI. Blood2015 Jul 23126(4):494-9http://www.ncbi.nlm.nih.gov/pubmed/25957825Federated queries of clinical data repositories: Scaling to a national network. J Biomed Inform. 2015 Jun; 55:231-6.Weber GM. J Biomed Inform2015 Jun55:231-6http://www.ncbi.nlm.nih.gov/pubmed/24854141Finding the missing link for big biomedical data. JAMA. 2014 Jun 25; 311(24):2479-80.Weber GM, Mandl KD, Kohane IS. JAMA2014 Jun 25311(24):2479-80http://www.ncbi.nlm.nih.gov/pubmed/24821734Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): architecture. J Am Med Inform Assoc. 2014 Jul-Aug; 21(4):615-20.Mandl KD, Kohane IS, McFadden D, Weber GM, Natter M, Mandel J, Schneeweiss S, Weiler S, Klann JG, Bickel J, Adams WG, Ge Y, Zhou X, Perkins J, Marsolo K, Bernstam E, Showalter J, Quarshie A, Ofili E, Hripcsak G, Murphy SN. J Am Med Inform Assoc2014 Jul-Aug21(4):615-20http://www.ncbi.nlm.nih.gov/pubmed/24699371Query Health: standards-based, cross-platform population health surveillance. J Am Med Inform Assoc. 2014 Jul-Aug; 21(4):650-6.Klann JG, Buck MD, Brown J, Hadley M, Elmore R, Weber GM, Murphy SN. J Am Med Inform Assoc2014 Jul-Aug21(4):650-6http://www.ncbi.nlm.nih.gov/pubmed/24509520The use and significance of a research networking system. J Med Internet Res. 2014 Feb 07; 16(2):e46.Kahlon M, Yuan L, Daigre J, Meeks E, Nelson K, Piontkowski C, Reuter K, Sak R, Turner B, Weber GM, Chatterjee A. J Med Internet Res2014 Feb 0716(2):e46http://www.ncbi.nlm.nih.gov/pubmed/23734227Extracting physician group intelligence from electronic health records to support evidence based medicine. PLoS One. 2013; 8(5):e64933.Weber GM, Kohane IS. PLoS One20138(5):e64933http://www.ncbi.nlm.nih.gov/pubmed/23705970Identifying translational science within the triangle of biomedicine. J Transl Med. 2013 May 24; 11:126.Weber GM. J Transl Med2013 May 2411:126http://www.ncbi.nlm.nih.gov/pubmed/24303240How many patients are "normal"? Only 1.55%. AMIA Jt Summits Transl Sci Proc. 2013; 2013:79.Weber GM. AMIA Jt Summits Transl Sci Proc20132013:79http://www.ncbi.nlm.nih.gov/pubmed/23533569SHRINE: enabling nationally scalable multi-site disease studies. PLoS One. 2013; 8(3):e55811.McMurry AJ, Murphy SN, MacFadden D, Weber G, Simons WW, Orechia J, Bickel J, Wattanasin N, Gilbert C, Trevvett P, Churchill S, Kohane IS. PLoS One20138(3):e55811http://www.ncbi.nlm.nih.gov/pubmed/23349080Federated queries of clinical data repositories: the sum of the parts does not equal the whole. J Am Med Inform Assoc. 2013 Jun; 20(e1):e155-61.Weber GM. J Am Med Inform Assoc2013 Jun20(e1):e155-61http://www.ncbi.nlm.nih.gov/pubmed/22733975An i2b2-based, generalizable, open source, self-scaling chronic disease registry. J Am Med Inform Assoc. 2013 Jan 01; 20(1):172-9.Natter MD, Quan J, Ortiz DM, Bousvaros A, Ilowite NT, Inman CJ, Marsolo K, McMurry AJ, Sandborg CI, Schanberg LE, Wallace CA, Warren RW, Weber GM, Mandl KD. J Am Med Inform Assoc2013 Jan 0120(1):172-9http://www.ncbi.nlm.nih.gov/pubmed/22511918The co-morbidity burden of children and young adults with autism spectrum disorders. PLoS One. 2012; 7(4):e33224.Kohane IS, McMurry A, Weber G, MacFadden D, Rappaport L, Kunkel L, Bickel J, Wattanasin N, Spence S, Murphy S, Churchill S. PLoS One20127(4):e33224http://www.ncbi.nlm.nih.gov/pubmed/22686207Current state of information technologies for the clinical research enterprise across academic medical centers. Clin Transl Sci. 2012 Jun; 5(3):281-4.Murphy SN, Dubey A, Embi PJ, Harris PA, Richter BG, Turisco F, Weber GM, Tcheng JE, Keogh D. Clin Transl Sci2012 Jun5(3):281-4http://www.ncbi.nlm.nih.gov/pubmed/22037890Direct2Experts: a pilot national network to demonstrate interoperability among research-networking platforms. J Am Med Inform Assoc. 2011 Dec; 18 Suppl 1:i157-60.Weber GM, Barnett W, Conlon M, Eichmann D, Kibbe W, Falk-Krzesinski H, Halaas M, Johnson L, Meeks E, Mitchell D, Schleyer T, Stallings S, Warden M, Kahlon M. J Am Med Inform Assoc2011 Dec18 Suppl 1:i157-60http://www.ncbi.nlm.nih.gov/pubmed/20680384An online evidence-based decision support system for distinguishing benign from malignant vertebral compression fractures by magnetic resonance imaging feature analysis. J Digit Imaging. 2011 Jun; 24(3):507-15.Wang KC, Jeanmenne A, Weber GM, Thawait SK, Thawait S, Carrino JA. J Digit Imaging2011 Jun24(3):507-15http://www.ncbi.nlm.nih.gov/pubmed/20190053Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). J Am Med Inform Assoc. 2010 Mar-Apr; 17(2):124-30.Murphy SN, Weber G, Mendis M, Gainer V, Chueh HC, Churchill S, Kohane I. J Am Med Inform Assoc2010 Mar-Apr17(2):124-30http://www.ncbi.nlm.nih.gov/pubmed/19854939BioNumbers--the database of key numbers in molecular and cell biology. Nucleic Acids Res. 2010 Jan; 38(Database issue):D750-3.Milo R, Jorgensen P, Moran U, Weber G, Springer M. Nucleic Acids Res2010 Jan38(Database issue):D750-3http://www.ncbi.nlm.nih.gov/pubmed/19567788The Shared Health Research Information Network (SHRINE): a prototype federated query tool for clinical data repositories. J Am Med Inform Assoc. 2009 Sep-Oct; 16(5):624-30.Weber GM, Murphy SN, McMurry AJ, Macfadden D, Nigrin DJ, Churchill S, Kohane IS. J Am Med Inform Assoc2009 Sep-Oct16(5):624-30http://www.ncbi.nlm.nih.gov/pubmed/18541841Rosiglitazone and delayed onset of proliferative diabetic retinopathy. Arch Ophthalmol. 2008 Jun; 126(6):793-9.Shen LQ, Child A, Weber GM, Folkman J, Aiello LP. Arch Ophthalmol2008 Jun126(6):793-9Pizza Combinatorics Revisited. The College Mathematics Journal. 2006; 37(1):43-4.Weber G, Weber G. The College Mathematics Journal200637(1):43-4http://www.ncbi.nlm.nih.gov/pubmed/16359929Representation in stochastic search for phylogenetic tree reconstruction. J Biomed Inform. 2006 Feb; 39(1):43-50.Weber G, Ohno-Machado L, Shieber S. J Biomed Inform2006 Feb39(1):43-50http://www.ncbi.nlm.nih.gov/pubmed/15302633Short-term menopausal hormone therapy for symptom relief: an updated decision model. Arch Intern Med. 2004 Aug 9-23; 164(15):1634-40.Col NF, Weber G, Stiggelbout A, Chuo J, D'Agostino R, Corso P. Arch Intern Med2004 Aug 9-23164(15):1634-40http://www.ncbi.nlm.nih.gov/pubmed/15226823Genomic analysis of mouse retinal development. PLoS Biol. 2004 Sep; 2(9):E247.Blackshaw S, Harpavat S, Trimarchi J, Cai L, Huang H, Kuo WP, Weber G, Lee K, Fraioli RE, Cho SH, Yung R, Asch E, Ohno-Machado L, Wong WH, Cepko CL. PLoS Biol2004 Sep2(9):E247http://www.ncbi.nlm.nih.gov/pubmed/15219292Multivariate selection of genetic markers in diagnostic classification. Artif Intell Med. 2004 Jun; 31(2):155-67.Weber G, Vinterbo S, Ohno-Machado L. Artif Intell Med2004 Jun31(2):155-67http://www.ncbi.nlm.nih.gov/pubmed/12659816Pathogen discovery from human tissue by sequence-based computational subtraction. Genomics. 2003 Mar; 81(3):329-35.Xu Y, Stange-Thomann N, Weber G, Bo R, Dodge S, David RG, Foley K, Beheshti J, Harris NL, Birren B, Lander ES, Meyerson M. Genomics2003 Mar81(3):329-35Journal of Women's Imaging. Estimates of the Sizes at Which Breast Cancers Become Detectable on Mammographic and Clinical Grounds. 2003; (1):3-10.Michaelson JS, Satija S, Moore R, Weber G, Halpern E, Garland A, Kopans DB. Estimates of the Sizes at Which Breast Cancers Become Detectable on Mammographic and Clinical Grounds2003(1):3-10Journal of Women's Imaging. Estimates of Breast Cancer Growth Rate and Sojourn Time from Screening Database Information. 2003; (1):11-19.Michaelson JS, Satija S, Moore R, Weber G, Halpern E, Garland A, Kopans DB. Estimates of Breast Cancer Growth Rate and Sojourn Time from Screening Database Information2003(1):11-19http://www.ncbi.nlm.nih.gov/pubmed/12209713Predicting the survival of patients with breast carcinoma using tumor size. Cancer. 2002 Aug 15; 95(4):713-23.Michaelson JS, Silverstein M, Wyatt J, Weber G, Moore R, Halpern E, Kopans DB, Hughes K. Cancer2002 Aug 1595(4):713-23http://www.ncbi.nlm.nih.gov/pubmed/11788827Identification of foreign gene sequences by transcript filtering against the human genome. Nat Genet. 2002 Feb; 30(2):141-2.Weber G, Shendure J, Tanenbaum DM, Church GM, Meyerson M. Nat Genet2002 Feb30(2):141-2http://www.ncbi.nlm.nih.gov/pubmed/11815958The pattern of breast cancer screening utilization and its consequences. Cancer. 2002 Jan 01; 94(1):37-43.Michaelson J, Satija S, Moore R, Weber G, Halpern E, Garland A, Puri D, Kopans DB. Cancer2002 Jan 0194(1):37-43http://www.ncbi.nlm.nih.gov/pubmed/12463949Building an asynchronous web-based tool for machine learning classification. Proc AMIA Symp. 2002; 869-73.Weber G, Vinterbo S, Ohno-Machado L. Proc AMIA Symp2002869-73Journal of Intelligent and Fuzzy Systems. Classification of Gene Expression Data Using Fuzzy Logic. 2002; 12(1):19-24.Ohno-Machado L, Vinterbo S, Weber G. Classification of Gene Expression Data Using Fuzzy Logic200212(1):19-24Clearinghouse Number JC020766. Using the Web to Promote Smoking Cessation and Health for College-Aged Women. Educational Resources Information Center. 2002.Col NF, Fortin JM, Weber G. Using the Web to Promote Smoking Cessation and Health for College-Aged Women. Educational Resources Information Center2002http://www.ncbi.nlm.nih.gov/pubmed/11707567Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses. Proc Natl Acad Sci U S A. 2001 Nov 20; 98(24):13790-5.Bhattacharjee A, Richards WG, Staunton J, Li C, Monti S, Vasa P, Ladd C, Beheshti J, Bueno R, Gillette M, Loda M, Weber G, Mark EJ, Lander ES, Wong W, Johnson BE, Golub TR, Sugarbaker DJ, Meyerson M. Proc Natl Acad Sci U S A2001 Nov 2098(24):13790-5http://www.ncbi.nlm.nih.gov/pubmed/11544205Argus--a new database system for Web-based analysis of multiple microarray data sets. Genome Res. 2001 Sep; 11(9):1603-10.Comander J, Weber GM, Gimbrone MA, García-Cardeña G. Genome Res2001 Sep11(9):1603-10Journal of Women's Imaging. Observations on Invasive Breast Cancer Diagnosed in a Service Screening and Diagnostic Breast Imaging Program. 2001; 3:99-104.Michaelson JS, Satija S, Moore R, Weber G, Halpern E, Garland A, Kopans DB. Observations on Invasive Breast Cancer Diagnosed in a Service Screening and Diagnostic Breast Imaging Program20013:99-104https://www.maa.org/programs/faculty-and-departments/classroom-capsules-and-notes/pizza-combinatoricsPizza Combinatorics. The College Mathematics Journal. 1995; 26(2):141-3.Weber G, Weber G. The College Mathematics Journal199526(2):141-3Atlases as Topic31.601244887747276e+0002021-11-08T00:00:002025-03-13T00:00:00Electronic Health Records191.208949811461893e+0002012-04-12T00:00:002023-11-17T00:00:00Data Accuracy31.089157138080286e+0002017-11-01T00:00:002020-11-03T00:00:00Information Storage and Retrieval91.009267055382936e+0002009-06-30T00:00:002024-10-01T00:00:00Computer Communication Networks37.456927242089249e-0012011-10-28T00:00:002014-05-12T00:00:00Cell Biology26.853707492509933e-0012009-10-23T00:00:002021-11-08T00:00:00Medical Record Linkage36.553850343112073e-0012013-01-24T00:00:002021-11-25T00:00:00Cells16.504248063213342e-0012021-11-08T00:00:002021-11-08T00:00:00Software95.885000899929485e-0012001-09-01T00:00:002025-03-13T00:00:00Biomedical Research104.874058511262295e-0012010-03-01T00:00:002024-10-01T00:00:00Clinical Laboratory Techniques24.571171440826948e-0012013-05-29T00:00:002018-04-30T00:00:00Search Engine24.268407518296615e-0012014-02-07T00:00:002015-05-06T00:00:00Meaningful Use14.207128765473540e-0012015-05-06T00:00:002015-05-06T00:00:00Algorithms134.012610981559689e-0012002-01-01T00:00:002023-11-17T00:00:00Cell Lineage23.827128507913792e-0012004-06-29T00:00:002021-11-08T00:00:00Privacy43.705382533898789e-0012020-11-03T00:00:002022-08-23T00:00:00Models, Organizational13.582475951822010e-0012015-05-06T00:00:002015-05-06T00:00:00Data Collection33.417001777387615e-0012014-06-25T00:00:002023-02-03T00:00:00Intracranial Hemorrhages53.246921127633259e-0012015-05-18T00:00:002023-02-03T00:00:00COVID-19113.096795088224054e-0012021-03-01T00:00:002023-05-01T00:00:00Hospital Shared Services13.096777161820177e-0012009-06-30T00:00:002009-06-30T00:00:00Medical Records Systems, Computerized23.086466773520847e-0012010-03-01T00:00:002013-01-24T00:00:00Internet72.999997169177228e-0012001-09-01T00:00:002015-05-06T00:00:00Single-Cell Analysis12.928951910584261e-0012021-11-08T00:00:002021-11-08T00:00:00Translational Research, Biomedical22.893898971350006e-0012011-10-28T00:00:002013-05-24T00:00:00Pandemics32.691541818612669e-0012021-06-01T00:00:002022-06-23T00:00:00Information Dissemination42.625419673892029e-0012012-06-25T00:00:002021-03-01T00:00:00User-Computer Interface42.595744751081623e-0012009-06-30T00:00:002025-03-13T00:00:00Genetic Markers22.588677098427386e-0012002-01-01T00:00:002004-06-01T00:00:00Hospital Information Systems12.561254603380541e-0012009-06-30T00:00:002009-06-30T00:00:00Inpatients12.449704193667203e-0012018-04-30T00:00:002018-04-30T00:00:00Research Design22.353674154949817e-0012020-11-03T00:00:002023-05-25T00:00:00Bibliometrics22.285270347038186e-0012013-05-24T00:00:002023-10-10T00:00:00Biomarkers32.223257414887886e-0012021-11-08T00:00:002025-03-13T00:00:00Biological Ontologies12.202270764312513e-0012025-02-11T00:00:002025-02-11T00:00:00Cooperative Behavior12.145939559850458e-0012011-10-28T00:00:002011-10-28T00:00:00Evidence-Based Medicine22.122594483212387e-0012011-06-01T00:00:002013-05-29T00:00:00Research Personnel32.095653653504307e-0012011-10-28T00:00:002021-07-12T00:00:00Enoxaparin22.069146386913430e-0012015-05-18T00:00:002017-05-03T00:00:00Faculty, Medical31.986912232982630e-0012015-08-01T00:00:002017-08-03T00:00:00Career Mobility21.985994170901997e-0012015-08-01T00:00:002016-01-01T00:00:00Practice Patterns, Physicians'21.939687754443654e-0012013-05-29T00:00:002018-04-30T00:00:00Confidentiality31.931236409692443e-0012014-06-25T00:00:002019-01-08T00:00:00Bias31.875515751609222e-0012017-11-01T00:00:002021-11-25T00:00:00Lymphatic System11.841553526652368e-0012024-03-28T00:00:002024-03-28T00:00:00Genetics, Microbial11.823089616122734e-0012002-01-14T00:00:002002-01-14T00:00:00Health Services Research11.808435761638751e-0012009-06-30T00:00:002009-06-30T00:00:00Sequence Alignment11.769888348366970e-0012005-11-28T00:00:002005-11-28T00:00:00Humans671.766631693952689e-0012001-11-13T00:00:002025-03-13T00:00:00Oligonucleotide Array Sequence Analysis31.705214518065098e-0012001-09-01T00:00:002004-06-01T00:00:00Information Systems21.701418547243623e-0012012-06-25T00:00:002014-04-03T00:00:00Decision Making21.692333443168857e-0012004-08-01T00:00:002013-05-29T00:00:00Brain Neoplasms51.671546825510373e-0012015-05-18T00:00:002023-02-03T00:00:00Artificial Intelligence31.627429739418541e-0012002-01-01T00:00:002018-04-18T00:00:00Data Science11.605621926495525e-0012021-03-01T00:00:002021-03-01T00:00:00Intersectoral Collaboration11.540764676060377e-0012021-03-01T00:00:002021-03-01T00:00:00Hospitalization61.531339431596857e-0012018-04-30T00:00:002022-06-23T00:00:00Venous Thromboembolism31.521045334514376e-0012015-05-18T00:00:002018-12-11T00:00:00Computer Graphics11.508845615689099e-0012021-11-08T00:00:002021-11-08T00:00:00Blood Vessels11.503196241150678e-0012025-02-11T00:00:002025-02-11T00:00:00Boston51.481669531038751e-0012009-06-30T00:00:002018-04-30T00:00:00SARS-CoV-261.453960507375475e-0012021-03-02T00:00:002023-01-04T00:00:00Anticoagulants41.441939021703861e-0012015-05-18T00:00:002022-03-08T00:00:00NIMA-Related Kinases11.440696459160204e-0012018-09-28T00:00:002018-09-28T00:00:00Delivery of Health Care41.436803756748679e-0012014-06-25T00:00:002023-11-17T00:00:00Chromosome Mapping21.419890227176958e-0012004-06-29T00:00:002005-11-28T00:00:00Abstracting and Indexing11.386949382988255e-0012018-09-28T00:00:002018-09-28T00:00:00Computer Security21.334016678334576e-0012015-05-06T00:00:002021-03-01T00:00:00Phylogeny11.323363151199025e-0012005-11-28T00:00:002005-11-28T00:00:00National Institutes of Health (U.S.)31.319395111751655e-0012013-05-24T00:00:002021-03-01T00:00:00Evolution, Molecular11.314165352881210e-0012005-11-28T00:00:002005-11-28T00:00:00Academic Medical Centers41.312948805793135e-0012012-02-23T00:00:002017-08-03T00:00:00DNA Mutational Analysis11.307832600979064e-0012005-11-28T00:00:002005-11-28T00:00:00Sequence Analysis, DNA21.291240738311693e-0012002-01-14T00:00:002005-11-28T00:00:00Insurance Claim Reporting11.286387267437798e-0012017-11-01T00:00:002017-11-01T00:00:00PubMed21.278727520210087e-0012013-05-24T00:00:002018-09-28T00:00:00Heparin, Low-Molecular-Weight11.256978619081990e-0012018-12-11T00:00:002018-12-11T00:00:00Disease11.211083850565203e-0012021-11-08T00:00:002021-11-08T00:00:00Salicylates11.201508366473884e-0012016-07-01T00:00:002016-07-01T00:00:00Physicians11.131758029601164e-0012013-05-29T00:00:002013-05-29T00:00:00Datasets as Topic11.088690933922362e-0012019-01-08T00:00:002019-01-08T00:00:00Computational Biology31.038625757404754e-0012004-06-29T00:00:002020-01-01T00:00:00Financing, Government11.030308952397277e-0012017-08-03T00:00:002017-08-03T00:00:00Heart Failure11.027866587510865e-0012018-04-18T00:00:002018-04-18T00:00:00Intelligence21.027010236391291e-0012013-05-29T00:00:002022-07-22T00:00:00Platelet Aggregation Inhibitors21.024524150706938e-0012022-03-08T00:00:002023-02-03T00:00:00Programming Languages11.010337468011240e-0012014-04-03T00:00:002014-04-03T00:00:00Medical Subject Headings11.002435304692454e-0012013-05-24T00:00:002013-05-24T00:00:00Health Care Surveys29.927694676848500e-0022012-02-23T00:00:002018-04-30T00:00:00Organ Transplantation19.893533128994593e-0022023-10-10T00:00:002023-10-10T00:00:00Natural Language Processing29.749886030204459e-0022018-09-28T00:00:002020-01-01T00:00:00Research Support as Topic19.715540349233406e-0022017-08-03T00:00:002017-08-03T00:00:00Diagnostic Tests, Routine29.510258796063556e-0022013-05-29T00:00:002021-11-25T00:00:00Publishing29.497789811677249e-0022015-08-01T00:00:002021-03-02T00:00:00Machine Learning39.494358736302894e-0022021-07-14T00:00:002023-11-17T00:00:00Information Services19.487674035277487e-0022014-02-07T00:00:002014-02-07T00:00:00Information Seeking Behavior19.403228763501620e-0022014-02-07T00:00:002014-02-07T00:00:00Retrospective Studies139.293758170919692e-0022001-11-13T00:00:002023-02-03T00:00:00Respiratory Distress Syndrome19.258328247256918e-0022023-01-04T00:00:002023-01-04T00:00:00United States138.922349244247924e-0022009-06-30T00:00:002021-03-01T00:00:00Databases, Factual58.917023433703823e-0022001-09-01T00:00:002021-11-25T00:00:00Imaging, Three-Dimensional18.633088270916385e-0022025-03-13T00:00:002025-03-13T00:00:00Research28.631224725214326e-0022014-02-07T00:00:002023-05-01T00:00:00Colonic Neoplasms18.585587993768552e-0022023-05-25T00:00:002023-05-25T00:00:00Multivariate Analysis18.560772765191207e-0022004-06-01T00:00:002004-06-01T00:00:00Public Health Surveillance18.546998113908844e-0022014-04-03T00:00:002014-04-03T00:00:00Workforce28.529388081224042e-0022011-10-28T00:00:002017-08-03T00:00:00Databases, Genetic38.351814213953676e-0022002-01-14T00:00:002009-10-23T00:00:00Science18.256839998408071e-0022013-05-24T00:00:002013-05-24T00:00:00Universities27.728767324853626e-0022011-10-28T00:00:002014-02-07T00:00:00Hospital Administration17.671389322058220e-0022013-01-24T00:00:002013-01-24T00:00:00Fractures, Compression17.461606023543768e-0022011-06-01T00:00:002011-06-01T00:00:00Public Policy17.417822434230785e-0022013-05-24T00:00:002013-05-24T00:00:00High-Throughput Nucleotide Sequencing17.394482969638190e-0022021-11-08T00:00:002021-11-08T00:00:00Suicide17.298807177250728e-0022020-03-02T00:00:002020-03-02T00:00:00Genome, Human17.270478332045223e-0022002-01-14T00:00:002002-01-14T00:00:00Gene Expression Profiling27.242915782084010e-0022001-11-13T00:00:002004-06-01T00:00:00Databases, Nucleic Acid17.197270978454735e-0022009-10-23T00:00:002009-10-23T00:00:00Database Management Systems17.197101387662408e-0022010-03-01T00:00:002010-03-01T00:00:00Medical Informatics27.136366196985952e-0022012-02-23T00:00:002014-04-03T00:00:00Hospitals17.061087680537508e-0022021-10-11T00:00:002021-10-11T00:00:00Systems Integration17.022916552536593e-0022010-03-01T00:00:002010-03-01T00:00:00Fellowships and Scholarships16.987413046737455e-0022017-08-03T00:00:002017-08-03T00:00:00Reproducibility of Results36.938102817136807e-0022020-03-02T00:00:002021-03-02T00:00:00Tumor Suppressor Protein p5316.754571810454542e-0022018-09-28T00:00:002018-09-28T00:00:00Child Development Disorders, Pervasive16.611512157747487e-0022012-04-12T00:00:002012-04-12T00:00:00Logistic Models16.559361534736835e-0022002-01-01T00:00:002002-01-01T00:00:00Transcriptome16.170536312073529e-0022021-11-08T00:00:002021-11-08T00:00:00Anti-Inflammatory Agents, Non-Steroidal16.139515379523665e-0022016-07-01T00:00:002016-07-01T00:00:00Molecular Biology16.016019686814093e-0022009-10-23T00:00:002009-10-23T00:00:00Terminology as Topic15.836635567974515e-0022013-05-24T00:00:002013-05-24T00:00:00Models, Theoretical35.746908712016398e-0022002-08-15T00:00:002013-05-24T00:00:00Expressed Sequence Tags25.674271349814383e-0022002-01-14T00:00:002004-06-29T00:00:00Thiazolidinediones15.665396588300788e-0022008-06-01T00:00:002008-06-01T00:00:00PPAR gamma15.662628021012130e-0022008-06-01T00:00:002008-06-01T00:00:00Genomics15.657403122220134e-0022021-11-08T00:00:002021-11-08T00:00:00Spinal Neoplasms15.553091691124561e-0022011-06-01T00:00:002011-06-01T00:00:00Overweight15.532323817689674e-0022016-07-01T00:00:002016-07-01T00:00:00Periodicals as Topic15.501240974715926e-0022016-01-01T00:00:002016-01-01T00:00:00Plaque, Atherosclerotic15.483165985126862e-0022016-07-01T00:00:002016-07-01T00:00:00Middle Aged135.461870739795260e-0022002-01-01T00:00:002023-01-04T00:00:00Sequence Homology, Nucleic Acid15.448554223448802e-0022005-11-28T00:00:002005-11-28T00:00:00Climacteric15.398892606601589e-0022004-08-01T00:00:002004-08-01T00:00:00Stochastic Processes15.348628515015942e-0022005-11-28T00:00:002005-11-28T00:00:00Adult95.304759802172717e-0022012-04-12T00:00:002023-07-19T00:00:00Spinal Fractures15.291300578803353e-0022011-06-01T00:00:002011-06-01T00:00:00Health Information Interoperability15.160331080777589e-0022024-10-01T00:00:002024-10-01T00:00:00ROC Curve25.111337298702431e-0022021-07-14T00:00:002022-07-22T00:00:00Phenotype15.051187475787550e-0022021-11-08T00:00:002021-11-08T00:00:00Patient-Centered Care15.050649311682112e-0022014-05-12T00:00:002014-05-12T00:00:00Diagnosis14.995661706473433e-0022004-06-01T00:00:002004-06-01T00:00:00Severity of Illness Index14.960310115918176e-0022021-07-14T00:00:002021-07-14T00:00:00Carcinoma, Non-Small-Cell Lung14.847976738360665e-0022022-03-08T00:00:002022-03-08T00:00:00Informatics14.820359660118589e-0022023-05-25T00:00:002023-05-25T00:00:00Records14.800031578009362e-0022023-02-03T00:00:002023-02-03T00:00:00Logical Observation Identifiers Names and Codes14.773549921151577e-0022022-07-21T00:00:002022-07-21T00:00:00Quality Improvement14.759143295691552e-0022018-04-30T00:00:002018-04-30T00:00:00Gene Library24.754508564956256e-0022002-01-14T00:00:002004-06-29T00:00:00Conserved Sequence14.729997596095859e-0022005-11-28T00:00:002005-11-28T00:00:00Electronics14.630155562118347e-0022023-11-17T00:00:002023-11-17T00:00:00Glioma14.503000032064489e-0022017-05-03T00:00:002017-05-03T00:00:00Male134.471407717150081e-0022008-06-01T00:00:002021-10-11T00:00:00Female164.465838763672008e-0022002-01-01T00:00:002021-10-11T00:00:00Decision Support Systems, Clinical14.421544703776822e-0022011-06-01T00:00:002011-06-01T00:00:00Risk Assessment24.336630262053723e-0022018-12-11T00:00:002020-03-02T00:00:00Bayes Theorem24.254231990683802e-0022019-01-08T00:00:002020-03-02T00:00:00Post-Acute COVID-19 Syndrome14.040297483152554e-0022023-05-01T00:00:002023-05-01T00:00:00Lung Neoplasms24.030255633252462e-0022001-11-13T00:00:002022-03-08T00:00:00Subtraction Technique13.990621141506443e-0022003-03-01T00:00:002003-03-01T00:00:00Authorship13.981958991528884e-0022023-10-10T00:00:002023-10-10T00:00:00Physician-Patient Relations13.872880536825658e-0022013-05-29T00:00:002013-05-29T00:00:00Mental Disorders13.839884321192663e-0022020-03-02T00:00:002020-03-02T00:00:00Gene Expression23.803888796819581e-0022001-11-13T00:00:002002-01-01T00:00:00Cluster Analysis23.788990629470052e-0022004-06-29T00:00:002023-02-03T00:00:00Neoplasms23.788648366582573e-0022002-01-01T00:00:002015-05-18T00:00:00Ethics Committees, Research13.763548115696913e-0022021-03-01T00:00:002021-03-01T00:00:00Lymphatic Vessels13.748226417900707e-0022024-03-28T00:00:002024-03-28T00:00:00RNA, Neoplasm13.705598264291943e-0022001-11-13T00:00:002001-11-13T00:00:00Outcome Assessment, Health Care13.651342941455660e-0022014-05-12T00:00:002014-05-12T00:00:00Aged73.611914406702892e-0022008-06-01T00:00:002023-01-04T00:00:00Data Analysis13.604005811386007e-0022021-03-01T00:00:002021-03-01T00:00:00Hormone Replacement Therapy13.600159311385610e-0022004-08-01T00:00:002004-08-01T00:00:00Clinical Decision Rules13.579865142717988e-0022020-03-02T00:00:002020-03-02T00:00:00Obesity23.552470066641163e-0022016-07-01T00:00:002023-01-04T00:00:00Communication13.476748034945787e-0022013-05-29T00:00:002013-05-29T00:00:00Angiogenesis Inhibitors13.422908856040678e-0022008-06-01T00:00:002008-06-01T00:00:00Peer Review, Research13.406250236717172e-0022021-03-02T00:00:002021-03-02T00:00:00Pilot Projects13.396260396995918e-0022011-10-28T00:00:002011-10-28T00:00:00Diabetic Retinopathy13.385203644147309e-0022008-06-01T00:00:002008-06-01T00:00:00Viruses13.380609710883588e-0022002-01-14T00:00:002002-01-14T00:00:00HCT116 Cells13.347510950162842e-0022018-09-28T00:00:002018-09-28T00:00:00Genome, Viral13.323907791273865e-0022002-01-14T00:00:002002-01-14T00:00:00Chronic Disease13.285775788114102e-0022012-06-25T00:00:002012-06-25T00:00:00Cohort Studies43.221011075618492e-0022012-04-12T00:00:002024-10-01T00:00:00Herpesvirus 4, Human13.183882981757688e-0022003-03-01T00:00:002003-03-01T00:00:00Government Regulation13.175976273517064e-0022021-03-01T00:00:002021-03-01T00:00:00DNA, Neoplasm13.131914620916638e-0022002-01-01T00:00:002002-01-01T00:00:00Pattern Recognition, Automated13.087641502399258e-0022022-07-21T00:00:002022-07-21T00:00:00Molecular Sequence Data23.080407221107452e-0022004-06-29T00:00:002005-11-28T00:00:00Genome13.007945551814699e-0022004-06-29T00:00:002004-06-29T00:00:00Models, Genetic12.973506181961346e-0022005-11-28T00:00:002005-11-28T00:00:00Inflammation12.964807994824891e-0022016-07-01T00:00:002016-07-01T00:00:00Registries12.907527283720377e-0022012-06-25T00:00:002012-06-25T00:00:00Sensitivity and Specificity22.873898396894575e-0022020-03-02T00:00:002021-07-14T00:00:00Prognosis42.870967670572086e-0022002-08-15T00:00:002021-07-14T00:00:00Base Sequence12.819084387752387e-0022005-11-28T00:00:002005-11-28T00:00:00DNA, Viral12.725033392779490e-0022002-01-14T00:00:002002-01-14T00:00:00Hypoglycemic Agents12.716520101242561e-0022008-06-01T00:00:002008-06-01T00:00:00Diagnosis, Differential22.593683260709135e-0022004-06-01T00:00:002011-06-01T00:00:00San Francisco12.564346256239744e-0022014-02-07T00:00:002014-02-07T00:00:00Gene Expression Regulation, Developmental12.503295984783709e-0022004-06-29T00:00:002004-06-29T00:00:00Organizations12.488046040559335e-0022014-05-12T00:00:002014-05-12T00:00:00Survival Analysis22.485834883148152e-0022002-08-15T00:00:002022-08-23T00:00:00Vocabulary, Controlled12.453510444106322e-0022014-04-03T00:00:002014-04-03T00:00:00Retina12.445598336427035e-0022004-06-29T00:00:002004-06-29T00:00:00Awards and Prizes12.435136807818042e-0022017-08-03T00:00:002017-08-03T00:00:00Lymph Nodes12.323072074665496e-0022024-03-28T00:00:002024-03-28T00:00:00Software Design12.265586628362817e-0022012-06-25T00:00:002012-06-25T00:00:00Sex Ratio12.238426254574288e-0022012-04-12T00:00:002012-04-12T00:00:00Efficiency12.223724482642866e-0022015-08-01T00:00:002015-08-01T00:00:00Models, Statistical12.160506258499973e-0022005-11-28T00:00:002005-11-28T00:00:00Social Networking12.154915010247347e-0022014-02-07T00:00:002014-02-07T00:00:00Carcinoma12.148355346905037e-0022002-08-15T00:00:002002-08-15T00:00:00Aspirin12.146369697123211e-0022023-02-03T00:00:002023-02-03T00:00:00Mammography12.084674728835046e-0022002-01-01T00:00:002002-01-01T00:00:00Schools, Medical12.073185770103891e-0022017-08-03T00:00:002017-08-03T00:00:00Administration, Oral12.053288714177748e-0022018-12-11T00:00:002018-12-11T00:00:00Demography12.043638254134252e-0022015-08-01T00:00:002015-08-01T00:00:00RNA, Messenger22.034736827491430e-0022001-11-13T00:00:002004-06-29T00:00:00Online Systems12.031144795224922e-0022011-06-01T00:00:002011-06-01T00:00:00Diabetes Mellitus11.907774764119562e-0022008-06-01T00:00:002008-06-01T00:00:00HEK293 Cells11.862070550001814e-0022018-09-28T00:00:002018-09-28T00:00:00Incidence21.759233368531124e-0022015-05-18T00:00:002018-12-11T00:00:00Educational Status11.736030454812844e-0022016-01-01T00:00:002016-01-01T00:00:00Odds Ratio11.728648831504728e-0022020-03-02T00:00:002020-03-02T00:00:00Rosiglitazone11.726181417073192e-0022008-06-01T00:00:002008-06-01T00:00:00Internal Medicine11.716846860937808e-0022015-08-01T00:00:002015-08-01T00:00:00Proportional Hazards Models11.698207551309441e-0022022-08-23T00:00:002022-08-23T00:00:00Neurology11.666916663052779e-0022015-08-01T00:00:002015-08-01T00:00:00Phosphorylation11.665259758634361e-0022018-09-28T00:00:002018-09-28T00:00:00Databases, Protein11.643749656671679e-0022009-10-23T00:00:002009-10-23T00:00:00Young Adult31.641441759294515e-0022015-05-18T00:00:002023-01-04T00:00:00Aged, 80 and over31.615997851644024e-0022015-05-18T00:00:002018-12-11T00:00:00Arthritis, Juvenile11.593273650859025e-0022012-06-25T00:00:002012-06-25T00:00:00Infant, Newborn21.589502340118820e-0022012-04-12T00:00:002021-06-01T00:00:00Kaplan-Meier Estimate11.566377700313637e-0022017-05-03T00:00:002017-05-03T00:00:00Adolescent31.549249238582999e-0022012-04-12T00:00:002023-01-04T00:00:00Thoracic Vertebrae11.543771113512641e-0022011-06-01T00:00:002011-06-01T00:00:00Global Health11.533683486535821e-0022021-06-01T00:00:002021-06-01T00:00:00Diagnosis, Computer-Assisted11.527127035734106e-0022011-06-01T00:00:002011-06-01T00:00:00Systems Biology11.483946582763588e-0022009-10-23T00:00:002009-10-23T00:00:00Survival Rate21.467312559864364e-0022001-11-13T00:00:002015-05-18T00:00:00Risk Factors31.448054295619795e-0022015-05-18T00:00:002018-12-11T00:00:00Anesthesiology11.417991406809339e-0022015-08-01T00:00:002015-08-01T00:00:00Infant21.376239656620655e-0022012-04-12T00:00:002021-06-01T00:00:00Breast Neoplasms21.365988114996797e-0022002-01-01T00:00:002002-08-15T00:00:00Time Factors31.335866193982330e-0022001-11-13T00:00:002018-12-11T00:00:00General Surgery11.315014689375655e-0022015-08-01T00:00:002015-08-01T00:00:00Adenocarcinoma11.314267007183089e-0022001-11-13T00:00:002001-11-13T00:00:00Child, Preschool21.301540117005073e-0022012-04-12T00:00:002021-06-01T00:00:00Bromodeoxyuridine11.296306454068545e-0022004-06-29T00:00:002004-06-29T00:00:00Follow-Up Studies21.285794358431021e-0022015-05-18T00:00:002016-01-01T00:00:00Magnetic Resonance Imaging11.255433516589376e-0022011-06-01T00:00:002011-06-01T00:00:00Sex Factors11.248716821866397e-0022017-08-03T00:00:002017-08-03T00:00:00Psychiatry11.238496138303463e-0022015-08-01T00:00:002015-08-01T00:00:00Child31.228623432251295e-0022012-04-12T00:00:002021-06-01T00:00:00Macular Edema11.224432603422779e-0022008-06-01T00:00:002008-06-01T00:00:00Medical Records11.215038626349012e-0022008-06-01T00:00:002008-06-01T00:00:00Quality of Life11.149162392577321e-0022004-08-01T00:00:002004-08-01T00:00:00Double-Blind Method11.124338444699862e-0022016-07-01T00:00:002016-07-01T00:00:00Diabetes Complications11.100357774315164e-0022008-06-01T00:00:002008-06-01T00:00:00Risk Reduction Behavior11.098008860639897e-0022008-06-01T00:00:002008-06-01T00:00:00Radiology11.095589136571835e-0022015-08-01T00:00:002015-08-01T00:00:00Hydroxymethylglutaryl-CoA Reductase Inhibitors11.087821868083569e-0022016-07-01T00:00:002016-07-01T00:00:00Mathematics11.071720758566196e-0022002-08-15T00:00:002002-08-15T00:00:00Neoplasm Metastasis21.064264534531698e-0022001-11-13T00:00:002002-08-15T00:00:00Open Reading Frames11.062509073069306e-0022004-06-29T00:00:002004-06-29T00:00:00Markov Chains11.046671661308508e-0022004-08-01T00:00:002004-08-01T00:00:00North America11.034236259404356e-0022004-08-01T00:00:002004-08-01T00:00:00In Situ Hybridization11.031383220474947e-0022004-06-29T00:00:002004-06-29T00:00:00Neoplasm Staging11.005149044714105e-0022015-05-18T00:00:002015-05-18T00:00:00Animals39.731171612955541e-0032004-06-29T00:00:002009-10-23T00:00:00DNA, Complementary19.687148293503976e-0032003-03-01T00:00:002003-03-01T00:00:00Pediatrics19.582824854115248e-0032015-08-01T00:00:002015-08-01T00:00:00Carcinoma, Small Cell19.444478488102832e-0032001-11-13T00:00:002001-11-13T00:00:00Mitosis19.254987782990906e-0032004-06-29T00:00:002004-06-29T00:00:00Interneurons19.246064490238867e-0032004-06-29T00:00:002004-06-29T00:00:00Neuroglia18.644282353998804e-0032004-06-29T00:00:002004-06-29T00:00:00Disease Progression28.580852464392634e-0032001-11-13T00:00:002008-06-01T00:00:00Comorbidity18.335801541460278e-0032012-04-12T00:00:002012-04-12T00:00:00Inflammatory Bowel Diseases18.243471788902824e-0032012-06-25T00:00:002012-06-25T00:00:00Case-Control Studies18.224927674760680e-0032015-05-18T00:00:002015-05-18T00:00:00Quality-Adjusted Life Years18.149922141288509e-0032004-08-01T00:00:002004-08-01T00:00:00Visual Acuity18.020032221806061e-0032008-06-01T00:00:002008-06-01T00:00:00Life Expectancy18.015031799966467e-0032004-08-01T00:00:002004-08-01T00:00:00Carcinoma, Ductal, Breast16.915184016168539e-0032002-01-01T00:00:002002-01-01T00:00:00Prevalence16.832521382720330e-0032012-04-12T00:00:002012-04-12T00:00:00Neoplasm Invasiveness16.638740431607231e-0032002-08-15T00:00:002002-08-15T00:00:00Decision Support Techniques16.476058133563800e-0032004-08-01T00:00:002004-08-01T00:00:00Surveys and Questionnaires16.450910683342635e-0032016-01-01T00:00:002016-01-01T00:00:00Polymerase Chain Reaction16.427363254275303e-0032003-03-01T00:00:002003-03-01T00:00:00Models, Biological16.335232145394152e-0032009-10-23T00:00:002009-10-23T00:00:00Diabetes Mellitus, Type 116.140977296611401e-0032008-06-01T00:00:002008-06-01T00:00:00Mortality16.018287296377061e-0032004-08-01T00:00:002004-08-01T00:00:00Risk15.950428727641169e-0032004-08-01T00:00:002004-08-01T00:00:00Treatment Outcome15.528413964074367e-0032018-12-11T00:00:002018-12-11T00:00:00Stem Cells15.395775122370903e-0032004-06-29T00:00:002004-06-29T00:00:00Longitudinal Studies15.382664032754218e-0032008-06-01T00:00:002008-06-01T00:00:00Prospective Studies15.284060788453709e-0032016-01-01T00:00:002016-01-01T00:00:00Black or African American14.274162205742616e-0032004-08-01T00:00:002004-08-01T00:00:00Gene Expression Regulation13.889126850113197e-0032004-06-29T00:00:002004-06-29T00:00:00Carcinoma, Squamous Cell13.779858074164412e-0032001-11-13T00:00:002001-11-13T00:00:00Mass Screening13.609090956537463e-0032002-01-01T00:00:002002-01-01T00:00:00Smoking13.506038240942625e-0032001-11-13T00:00:002001-11-13T00:00:00Diabetes Mellitus, Type 213.277940099694764e-0032008-06-01T00:00:002008-06-01T00:00:00Mice11.990466296197562e-0032004-06-29T00:00:002004-06-29T00:00:00