R/Medicine 2025

AN R CONSORTIUM VIRTUAL CONFERENCE

WHY ATTEND

The R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data. Conference workshops and demos provide a way to learn and develop your R skills, and to try out new R packages and tools. Conference talks share new packages, and successes in analyzing health, laboratory, and clinical data with R and Shiny, and an opportunity to interact with speakers in the chat during their pre-recorded talks.

KEYNOTE ADDRESSES

Ziad Obermeyer

Reinventing medicine with AI

Abstract

Many medical breakthroughs start with an empirical observation: a curious, unexplained pattern seen in real patients. Underlying mechanisms, unknown at first, are later mapped out in careful experiments. This “bedside to bench” pathway for discovery is less and less common —both because low-hanging fruit has been picked, and because doctors today have little time for observation. I’ll give a few examples of how artificial intelligence can help reboot this pathway: AI is a powerful engine for generating novel empirical observations in real-world data, many of them invisible to the human eye. Translating facts ‘discovered’ by AI into (i) improvements in clinical care and (ii) scientific discoveries are at the core of a new science of medicine, powered by data and computation.

Biography

Ziad Obermeyer is Associate Professor and Blue Cross of California Distinguished Professor at UC Berkeley. He teaches at School of Public Health and was a founding member of the Berkeley–UCSF joint program in Computational Precision Health. His research uses machine learning to help doctors make better decisions, and help researchers make new discoveries by ‘seeing’ the world the way algorithms do. His work on algorithmic racial bias has been highly influential in shaping how health care organizations and policy makers hold AI accountable, from work with state Attorneys-General to testimony before the Senate Finance Committee. He is a cofounder of Nightingale Open Science and Dandelion Health, a Chan–Zuckerberg Biohub Investigator, and a Research Associate at the National Bureau of Economic Research. He was named one of the 100 most influential people in AI by TIME Magazine. Previously, he was Assistant Professor at Harvard Medical School, and he continues to practice emergency medicine in underserved communities.

Erin LeDell

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