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Pratik Shah is the principal Investigator leading the Health 0.0 research lab that works on engineering, medical imaging, machine learning, and biological technologies for novel scientific discoveries that improve clinical and community health outcomes. Key goals are: 1) Novel medical technologies for translational clinical and biomedical research and real-world benefit for patients and providers; 2) Augmenting artificial intelligence (AI), machine learning , medical imaging and neural network capabilities for personalized digital medicines; and 3) Empowering patients, physicians, researchers, and regulators for making informed and equitable healthcare decisions. Recent work from his lab has been published in Nature Digital Medicine, Cell press, Journal of American Medical Association, IEEE conferences, and Proceedings of National Academies of Science Engineering and Medicine workshops. Pratik serves on the grant reviewer board of Center for Scientific Review at the National Institutes of Health and foundations supporting patient-centric research. Past acknowledgments inclu…
研究兴趣
论文共 36 篇作者统计合作学者相似作者
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Cell reports methodsno. 7 (2021): 100107-100107
CLINICAL PHARMACOLOGY & THERAPEUTICSno. 4.0 (2020): 683-686
Aman Rana,Alarice Lowe, Marie Lithgow, Katharine Horback, Tyler Janovitz,Annacarolina Da Silva, Harrison Tsai,Vignesh Shanmugam,Akram Bayat,Pratik Shah
2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) (2019): 828-834
Rana Aman,Lowe Alarice,Lithgow Marie, Horback Katharine,Janovitz Tyler,Da Silva Annacarolina, Tsai Harrison,Shanmugam Vignesh,Yoon Hyung-Jin,Shah Pratik
arxiv(2019)
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