Key goals of his research are: 1) Novel informatics driven biomedical technologies for translational clinical research and real-world evidence generation; 2) Augmenting artificial intelligence (AI), machine learning, medical imaging and neural network capabilities with statistical reasoning for personalized digital medicines to improve health outcomes; and 3) Empowering patients, physicians, researchers, and regulators for making informed healthcare decisions. Recent work from his lab has been published in Cell Reports Methods, Nature Digital Medicine, Cell press, Journal of American Medical Association, and workshops at Proceedings of National Academies of Science Engineering and Medicine. Pratik serves on the grant reviewer board of Center for Scientific Review at National Institutes of Health and foundations supporting patient-centric research. Pratik has BS, MS, and Ph.D. degrees in biological sciences and completed fellowship training at Massachusetts General Hospital, the Broad Institute of MIT and Harvard, and Harvard Medical School.
Read more about Pratik's ongoing research at MIT here.
Watch Pratik's TED talk on biomarker prediction from low-cost images using machine learning here.