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Research in the Computational Cardiovascular Research Group is focused on three areas: 1) Understanding conformational changes in biomolecules that play an important role in common human diseases, 2) Using machine learning to develop models that identify patients at high risk of adverse clinical events, and 3) Developing new methods to discover optimal treatment strategies for high risk patients. The group uses an interdisciplinary approach combining computational modeling and machine learning to accomplish these tasks.
Research in the Computational Cardiovascular Research Group is focused on three areas: 1) Understanding conformational changes in biomolecules that play an important role in common human diseases, 2) Using machine learning to develop models that identify patients at high risk of adverse clinical events, and 3) Developing new methods to discover optimal treatment strategies for high risk patients. The group uses an interdisciplinary approach combining computational modeling and machine learning to accomplish these tasks.
研究兴趣
论文共 122 篇作者统计合作学者相似作者
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Daphne Schlesinger,Ridwan Alam, Roey Ringel,Eugene Pomerantsev, Srikanth Devreddy, Pinak Shah, Joseph Garasic,Collin Stultz
crossref(2024)
Hyewon Jeong,Nassim Oufattole,Matthew Mcdermott,Aparna Balagopalan, Bryan Jangeesingh,Marzyeh Ghassemi,Collin Stultz
CoRR (2023)
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Machine Learning in Health Care (2023): 321-342
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JACC: Advancesno. 7 (2023): 100552
Aniruddh Raghu,Daphne Schlesinger,Eugene Pomerantsev, Srikanth Devireddy, Pinak Shah, Joseph Garasic,John Guttag,Collin M. Stultz
CoRR (2023)
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ICML 2023 (2023): 28531-28548
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Trends in Cardiovascular Medicineno. 1 (2022): 42-43
Conference on Health, Inference, and Learning (CHIL)pp.282-310, (2022)
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