Speaker Profile
M.D., Ph.D., CMO, OpenEvidence
Biography
Dr. Travis Zack is Chief Physician at OpenEvidence and an adjunct professor at UCSF with a lab in predictive model development in real-world health data. His research lies at the intersection of computational biology, clinical medicine, and artificial intelligence. Travis received his PhD in Biophysics from Harvard and an MD in the Health Sciences and Technology track at MIT and Harvard Medical School. Dr. Zack has dedicated his career to using data-driven approaches to address pressing challenges in oncology. His lab focuses on developing AI models to support clinical decision-making and enhance patient outcomes, including machine learningbased tools for real-world evidence studies and natural language processing methods to extract valuable insights from electronic health records.
Talk
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AI for Clinical Decision Support Systems Showcase:
OpenEvidence
Medical search platform
Session Abstract – PMWC 2026 Silicon Valley
"The PMWC 2026 AI for Clinical Decision Support Showcase will provide a 15-30 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
