Ziad’s phenomenal research on algorithmic bias and AI accountability has fundamentally reshaped how health systems and policymakers think about what it means to trust an algorithm with a clinical decision.
Grand Rounds at the UCSF Phillip R. Lee Institute for Health Policy Studies (IHPS)
Welcome Ziad Obermeyer, MD to the CPH Faculty!
We are delighted to welcome Ziad Obermeyer, MD as a new CPH faculty member. Appointed jointly with UC Berkeley School of Public Health, Dr. Obermeyer’s work includes algorithmic bias and the integration of AI into clinical workflows. Dr. Obermeyer has been honored with several important awards, including TIME100 most influential people working in artificial intelligence.
Romain Pirracchio, MD, MPH, PhD receives the National Academy of Medicine Emerging Leader award
Congratulations to Romain Pirracchio, MD, MPH, PhD, for receiving the National Academy of Medicine Emerging Leader award at the Richard and Hinda Rosenthal NAM Emerging Leaders Forum!
Yun Song, PhD, elected as Fellow of the International Society for Computational Biology (ISCB)
Congratulations to Yun Song, PhD, who has been elected as a Fellow of the International Society for Computational Biology (ISCB)!
Sameer Neupane testimonial
Dermatology Triage Using Administrative Profile Photos from Electronic Health Records
Authors: Hongzhou Luan, Meghan Shan, Katrina Abuabara
Insights from Autoregressive vs Diffusion Large Language Models for Brain Encoding During Speech Perception
Authors: Sami Barrit, MD, Matthew Leonard, PhD, Edward Chang, MD
Observing drug mechanism in vivo: AI-derived Pharmacodynamic fingerprints of hERG block in routine ECGs
Authors: Alexander Schubert, Man Qing Liang, Luke Sagers, Ziad Obermeyer
Automated Segmentation and Radiogenomic Analysis of Primary CNS Lymphoma
Authors: Andreas M. Rauschecker, Jinchi Wei, Michael Romano, Sarah Girma, Elham Beheshtian, Pierre Nedelec, Reza Eghbali, Leo Sugrue, James Rubenstein
