Isaac S. Kohane

Papers

Total Citations

H-Index

About

Isaac S. Kohane is a pioneering figure in biomedical informatics, whose work has fundamentally shaped how we harness data to understand human health and disease. A leading voice at the intersection of artificial intelligence, genomics, and clinical medicine, Kohane has been instrumental in developing computational methods to extract meaningful insights from vast, complex biomedical datasets. His research has driven the creation of large-scale, shared patient data repositories, enabling discoveries in drug safety, disease subtypes, and genetic risk factors that were previously impossible. With over 40,000 citations, his impact is profound, particularly through seminal work on phenome-wide association studies (PheWAS) and the application of machine learning to electronic health records. A co-author of the landmark textbook *The New England Journal of Medicine* series on AI in medicine, Kohane has also led major initiatives like the i2b2 (Informatics for Integrating Biology and the Bedside) platform, a national center for biomedical computing. His career exemplifies how rigorous computational science, when applied to clinical questions, can accelerate the translation of research into tangible improvements in patient care.