Informatics Research Seminar: Predictive Modeling of Surgical Outcomes

April 1 @ 4:00 – 5:00 pm


Speaker: Erich S. Huang, MD, PhD
Presented from Duke University

Broadcast Link: Seminar

 

Abstract:

A broad discussion of how data science should and is changing how we think about the life sciences, and particular projects I’m involved with at Duke to illustrate these paradigm shifts: We will discuss the Duke-Stanford-Google Life Sciences “Baseline Study” and the unique challenges it poses in combining conventional infrastructure for doing clinical studies with the cloud, participant portals, and analytics. We will then discuss the DIHI-funded web application for machine learning-based predictive models of surgical outcomes at Duke, followed by a discussion of application programming interfaces and a description of the flexible research data service being developed under my leadership.

Biosketch:

Erich S. Huang, M.D., Ph.D., recently returned to Duke University from Sage Bionetworks in Seattle, Washington where he was Director of Cancer Research. He is the inaugural faculty of the new Division of Translational Bioinformatics in the Department of Biostatistics & Bioinformatics and is the faculty lead for informatics on the Baseline Study, a collaborative longitudinal cohort study being conducted between Duke, Stanford and Google Life Sciences. Dr. Huang earned his Ph.D. in Genetics and his M.D. from Duke University, and trained in the General Surgery residency program at Duke. He is also leading a School of Medicine-wide initiative to build a flexible research data service for Duke Researchers.