Speaker Profile

MD, Associate Professor and Blue Cross of California Distinguished Professor, UC Berkeley

Biography
Ziad Obermeyer is Associate Professor and Blue Cross of California Distinguished Professor at UC Berkeley. 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 impacted how many organizations build and use algorithms, and how lawmakers and regulators hold AI accountable. He is a cofounder of Nightingale Open Science and Dandelion Health, a Chan Zuckerberg Biohub Investigator, a Faculty Research Fellow at the National Bureau of Economic Research, and was named an Emerging Leader by the National Academy of Medicine. Previously, he was Assistant Professor at Harvard Medical School, and continues to practice emergency medicine in underserved communities.


 Session Abstract – PMWC 2024 Silicon Valley

Showcase Track S2 - January 24 9.30 A.M.-1.45 P.M.,Showcase Track S2 - January 25 9.00 A.M.-4.15 P.M.,Showcase Track S2 - January 26 9.00 A.M.-2.45 P.M.


The PMWC 2024 Data Applications in Clinical Diagnostics Showcase will provide a 15-minute time slot for selected organizations, including commercial companies, clinical testing labs, and medical research institutions, to present their latest advancements, insights, applications, and technologies to an audience of clinicians, leading investigators, academic institutions, pharma and biotech, investors, and potential clients. We will learn about new technologies and findings that promise expedited, cost-effective, and accurate clinical diagnosis for early disease detection, treatment decisions, and disease prevention.

  • Clinical Dx/Oncology (including Liquid Biopsy)
  • Clinical Dx/Cardio Vascular
  • Clinical Dx/Neurodegenerative

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