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Yale Smart Medicine Lab (YSML)

Welcome to Yale Smart Medicine Lab (YSML), an evolving neural network where members interact, collaborate, and spark constantly. Although scattered around the world, we find our team virtually. Our team members excel in various disciplines such as physics, mathematics, statistics, computer science, data science, radiology, biomedical engineering, biology, clinical medicine and public health.

The PI, Dr. Jun Deng is a Professor at the Department of Therapeutic Radiology of Yale University School of Medicine and an ABR board certified medical physicist at Yale-New Haven Hospital. Dr. Deng obtained his PhD from University of Virginia in 1998 and finished his postdoctoral fellowship at Stanford University in 2001. Dr. Deng has been serving on the Editorial Board of numerous peer-reviewed journals, on the study sections of NIH, NSF, DOD, ACS, RSNA and ASTRO since 2005, and as scientific reviewer for various science foundations and institutions since 2015. Currently with funding from NIBIB, NSF, NCI, DOE and YCC, Dr. Deng’s research has been focused on artificial intelligence, machine learning, and big data for early cancer detection, real-time clinical decision support, digital twins of cancer patients, as well as AI-empowered mobile health and smart medicine.

We are hiring! We need your talent and expertise! If interested, contact Dr. Deng.

Latest News

Jun Deng, PhD, DABR, FAAPM, FASTRO, selected as an expert for NIH AIM-AHEAD PAIR Program

Dr. Jun Deng, PhD, DABR, FAAPM, FASTRO, Professor of Therapeutic Radiology, has recently been selected as one of the 15 experts for the NIH's Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) Program for Artificial Intelligence Readiness (PAIR). The AIM-AHEAD PAIR aims to leverage AIM-AHEAD resources to jump start AI research for health equity in minority serving institutions (MSI) with inadequate resources.

Source: National Institutes of Health
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