Chen, David
University of Toronto · Princess Margaret Cancer Centre
7 papers on CoChatORCID 0000-0001-5531-9180
Most cited papers
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Telomere Shortening Triggers Senescence of Human Cells through a Pathway Involving ATM, p53, and p21CIP1, but Not p16INK4a
Herbig, U., Jobling, W. A., Chen, B. P. C., Chen, D. J., & Sedivy, J. M. (2004) · Molecular Cell
Telomeres, Telomerase, and SenescenceGenetics, Aging, and Longevity in Model Organisms
Cited by 1,344
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DNAPKcs-dependent arrest of RNA polymerase II transcription in the presence of DNA breaks
Pankotai, T., Bonhomme, C., Chen, D., & Soutoglou, E. (2012) · Nature Structural & Molecular Biology
DNA Repair MechanismsGenomics and Chromatin Dynamics
Cited by 239
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Physician and artificial intelligence chatbot responses to cancer questions from social media
Chen, D., Parsa, R., Hope, A., Hannon, B., Mak, E., Eng, L., Liu, F.-F., Fallah-Rad, N., Heesters, A. M., & Raman, S. (2024) · JAMA Oncology
Artificial Intelligence in Healthcare and EducationHealth Literacy and Information Accessibility
Cited by 120
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Evolution favors protein mutational robustness in sufficiently large populations
Bloom, J. D., Lu, Z., Chen, D., Raval, A., Venturelli, O. S., & Arnold, F. H. (2007) · BMC Biology
Evolution and Genetic DynamicsRNA and protein synthesis mechanisms
Cited by 119
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Patient perceptions of empathy in physician and artificial intelligence chatbot responses to patient questions about cancer
Chen, D., Chauhan, K., Parsa, R., Liu, Z. A., Liu, F.-F., Mak, E., Eng, L., Hannon, B. L., Croke, J., Hope, A., et al. (2025) · npj Digital Medicine
Empathy and Medical EducationArtificial Intelligence in Healthcare and Education
Cited by 50
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Performance of multimodal artificial intelligence chatbots evaluated on clinical oncology cases
Chen, D., Huang, R. S., Jomy, J., Wong, P., Yan, M., Croke, J., Tong, D., Hope, A., Eng, L., & Raman, S. (2024) · JAMA Network Open
Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications
Cited by 49
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Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports
Dewaswala, N., Chen, D., Bhopalwala, H., Kaggal, V. C., Murphy, S. P., Bos, J. M., Geske, J. B., Gersh, B. J., Ommen, S. R., Araoz, P. A., et al. (2022) · BMC Medical Informatics and Decision Making
Biomedical Text Mining and OntologiesCardiomyopathy and Myosin Studies
Cited by 17
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