Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Ibrahim Chamseddine, Ph.D.

Profile Picture

McGill University, Montreal, CanadaPh.D.2019Mechanical Engineering
American University of Beirut, LebanonM.Eng.2013Mechanical Engineering
American University of Beirut, LebanonB.Eng.2011Mechanical Engineering
Junior Scientist Research Partnership Award by Moffitt Cancer Center
Best Ph.D. Thesis Award by Group for Research in Decision Analysis
People's Choice Award by the Physical Sciences Oncology Network of the National Cancer Institute
McGill's Engineering Doctoral Award


Available: 12/22/22, Expires: 12/01/23

Radiotherapy (RT) is often used to treat liver cancers, but it can also expose the normal liver tissue surrounding the tumor to radiation. To minimize the risk of liver toxicity and ensure safe treatment plans, treatment planners consider the dose received by the normal liver and apply constraints on the maximum allowable dose. However, the current planning process does not take into account the fact that different parts of the liver have different sensitivities to radiation and can have varying effects on treatment outcomes. Previous research has shown that irradiating certain subregions of the liver, such as the portal vein, left lobe, and upper right lobe, can increase the risk of hepatobiliary toxicity, mortality, and local recurrence, respectively. We are looking for a medical student to join our team at Massachusetts General Hospital and help us investigate the impact of subregional liver effects in our patient cohort. The student will have the opportunity to learn and use state-of-the-art voxel-based imaging and statistical methods to analyze data from photon and advanced proton therapies and develop strategies to personalize treatments and improve outcomes of liver RT patients. This project will provide the student with valuable experience in applying imaging and statistical techniques to real-world medical data and will contribute to our understanding of how liver radiotherapy can be selectively optimized in the age of personalized cancer treatment.

Featured Content

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
Newest   |   Oldest   |   Most Cited   |   Most Discussed   |   Timeline   |   Field Summary   |   Plain Text
PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Kim Y, Chamseddine I, Cho Y, Kim JS, Mohan R, Shusharina N, Paganetti H, Lin S, Yoon HI, Cho S, Grassberger C. Neural network based ensemble model to predict radiation induced lymphopenia after concurrent chemo-radiotherapy for non-small cell lung cancer from two institutions. Neoplasia. 2023 Mar 15; 39:100889. PMID: 36931040; PMCID: PMC10025955.
    Citations:    Fields:    
  2. Chamseddine I, Kim Y, De B, Naqa IE, Duda DG, Wolfgang JA, Pursley J, Wo JY, Hong TS, Paganetti H, Koay EJ, Grassberger C. Predictive Model of Liver Toxicity to Aid the Personalized Selection of Proton Versus Photon Therapy in Hepatocellular Carcinoma. Int J Radiat Oncol Biol Phys. 2023 Feb 04. PMID: 36739920.
    Citations:    Fields:    
  3. Khalil A, Al Handawi K, Mohsen Z, Abdel Nour A, Feghali R, Chamseddine I, Kokkolaras M. Weekly Nowcasting of New COVID-19 Cases Using Past Viral Load Measurements. Viruses. 2022 06 28; 14(7). PMID: 35891394; PMCID: PMC9317659.
    Citations: 1     Fields:    Translation:Humans
  4. Kipouros T, Chamseddine I, Kokkolaras M. Using Parallel Coordinates in Optimization of Nano-Particle Drug Delivery. J Biomech Eng. 2022 04 01; 144(4). PMID: 34590693.
    Citations:    Fields:    Translation:Humans
  5. Chamseddine I, Kim Y, De B, El Naqa I, Duda DG, Wolfgang J, Pursley J, Paganetti H, Wo J, Hong T, Koay EJ, Grassberger C. Predictive Modeling of Survival and Toxicity in Patients With Hepatocellular Carcinoma After Radiotherapy. JCO Clin Cancer Inform. 2022 02; 6:e2100169. PMID: 35192402; PMCID: PMC8863122.
    Citations:    Fields:    Translation:Humans
  6. Cho Y, Kim Y, Chamseddine I, Lee WH, Kim HR, Lee IJ, Hong MH, Cho BC, Lee CG, Cho S, Kim JS, Yoon HI, Grassberger C. Lymphocyte dynamics during and after chemo-radiation correlate to dose and outcome in stage III NSCLC patients undergoing maintenance immunotherapy. Radiother Oncol. 2022 03; 168:1-7. PMID: 35033601; PMCID: PMC9036741.
    Citations: 5     Fields:    Translation:HumansCells
  7. Suveges S, Chamseddine I, Rejniak KA, Eftimie R, Trucu D. Collective Cell Migration in a Fibrous Environment: A Hybrid Multiscale Modelling Approach. Front Appl Math Stat. 2021 Jun; 7. PMID: 34322539.
    Citations: 4     
  8. Chamseddine IM, Kokkolaras M. A Dual Nanoparticle Delivery Strategy for Enhancing Drug Distribution in Cancerous Tissue. J Biomech Eng. 2020 12 01; 142(12). PMID: 32601692.
    Citations:    Fields:    
  9. Chamseddine IM, Frieboes HB, Kokkolaras M. Multi-objective optimization of tumor response to drug release from vasculature-bound nanoparticles. Sci Rep. 2020 05 19; 10(1):8294. PMID: 32427977.
    Citations: 1     Fields:    Translation:HumansAnimalsCells
  10. Chamseddine IM, Rejniak KA. Hybrid modeling frameworks of tumor development and treatment. Wiley Interdiscip Rev Syst Biol Med. 2020 01; 12(1):e1461. PMID: 31313504.
    Citations: 21     Fields:    Translation:HumansAnimals
  11. Chamseddine IM, Frieboes HB, Kokkolaras M. Design Optimization of Tumor Vasculature-Bound Nanoparticles. Sci Rep. 2018 12 11; 8(1):17768. PMID: 30538267; PMCID: PMC6290012.
    Citations: 6     Fields:    Translation:HumansAnimals
  12. Chamseddine IM, Kokkolaras M. Nanoparticle Optimization for Enhanced Targeted Anticancer Drug Delivery. J Biomech Eng. 2018 04 01; 140(4). PMID: 29049542.
    Citations: 2     Fields:    
Local representatives can answer questions about the Profiles website or help with editing a profile or issues with profile data. For assistance with this profile: HMS/HSDM faculty should contact contactcatalyst.harvard.edu. For faculty or fellow appointment updates and changes, please ask your appointing department to contact HMS. For fellow personal and demographic information, contact HMS Human Resources at human_resourceshms.harvard.edu. For faculty personal and demographic information, contact HMS Office for Faculty Affairs at facappthms.harvard.edu.
Chamseddine's Networks
Click the
buttons for more information and interactive visualizations!
Concepts (31)
Co-Authors (8)
Similar People (60)
Same Department 
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.