“Adventures of a Data Parasite: Accelerating Clinical Translation Using Heterogeneity in Public Data”
Learn how biological, clinical, and technical heterogeneity across publicly available independent data sets can lead to the identification of disease signatures that are diagnostic, prognostic, therapeutic, and mechanistic across a broad spectrum of diseases (which include infections, autoimmune diseases, cancer, organ transplant, and vaccination). Biological and technical heterogeneity in publicly available data can also be leveraged to make translational medicine better, faster, cheaper, and more generalizable.
This webinar is part of the monthly NIH Data Sharing and Reuse Seminar Series hosted by the NIH Office of Data Science and Strategy.
Dr. Purvesh Khatri is an associate professor at the Institute for Immunity, Transplantation, and Infection and in the Division of Biomedical Informatics Research, Department of Medicine, Stanford University.
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