Harvard Catalyst Profiles

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Danielle Sara Bitterman, M.D.

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I am a physician-scientist focused on clinical NLP and AI safety and oversight. My research includes automating health information extraction, language models to support clinical decision-making and patient education, and AI evaluation and risk-reduction. My translational efforts also include clinical trials regarding the use of AI in cancer care. You can learn more about my lab's research here.

My team has published multiple high impact medical and computer science venues such as Nature Medicine, JAMA Oncology, Lancet Digital Health, the Journal of Clinical Oncology, and NeurIPS. I am grateful to receive research funding from the National Cancer Institute, the American Cancer Society, the American Society for Radiation Oncology (ASTRO), and the American Association for Cancer Research.
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Research
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The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
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  1. ASTRO-CSDG-24-1244514-01-CTPS (BITTERMAN, DANIELLE S) Jan 1, 2025 - Dec 31, 2029
    American Cancer Society
    Artificial Intelligence to Identify and Characterize Cancer Therapy-Induced Adverse Sequelae
    Role Description: The goal of this project is to develop natural language processing methods to enhance monitoring of radiotherapy-related cardiovascular and neurocognitive side effects in adult cancer patients.
    Role: Principal Investigator
  2. R01CA294033 (BITTERMAN, DANIELLE S) Sep 1, 2024 - Aug 31, 2029
    NIH
    Informatics strategies to improve immune-related adverse event detection in cancer patients
    Role Description: This project seeks to automatically detect immune-related adverse event phenotypes from the electronic health record to support timely, data-driven cancer care that enhances survivorship. To achieve this goal, we will develop and clinically validate advanced informatics and artificial intelligence technologies, such as language models, to automate immune-related adverse event monitoring and data collection.
    Role: Principal Investigator

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© 2024 President and Fellows of Harvard College
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.