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 Speaker Profile

M.D., MPH, Co-Founder, Rabit AI

Biography
At Rabit AI, Amin Sadeghi leads the technical development of RABIT, a first-of-its-kind AI that gleans biological insights from health record data, and of its downstream applications, including biomarker discovery, patient stratification, and clinical trial optimization. He originally co-developed this technology at Stanford University, and his research history spans both dry- and wet-lab work across machine learning, molecular pharmacology, neuropsychiatry, and oncology. He draws on his training in medicine, public health, machine learning, and basic biology, along with his research experience, to lead the team in delivering insights that support clinical development, translational research, and precision medicine workflows in biopharma companies.


Talk
Reading Omics Profiles from the Medical Record
What if any real-world EHR cohort could be linked to omics data at every point in each patient’s clinical trajectory, without biosamples or assays, to discover biomarker candidates and clinical factors tied to any specific outcome? This talk shows how RABIT makes this possible.


AI for Emerging Therapeutics Showcase:
Rabit AI, Inc.

Rabit AI’s platform combines integrated EHR data, proprietary state-of-the-art EHR-native AI models, and technology bringing omics to EHR cohorts without biosamples, enabling biomarker discovery, retrospective trial analysis, higher probability of success for upcoming trials without shrinking the ITT population, combination therapy evaluation, and more.

 Session Abstract – PMWC 2027 Silicon Valley

Showcase Track S1 - Jan 28 9.15 A.M.-5.00 P.M.,Showcase Track S1 - Jan 29 1.15 P.M.-1.15 P.M.


The PMWC 2027 AI for Emerging Therapeutics Showcase will provide a 15-30 minute time slot for selected companies to explore the transformative role of artificial intelligence in accelerating the discovery, development, and optimization of novel therapeutic modalities. From predictive algorithms for drug efficacy to real-time analysis in clinical trials, AI is revolutionizing the way we approach emerging therapies, including RNA-based treatments, gene editing, and personalized medicine. Industry leaders and experts will discuss AI-driven advancements, collaborative frameworks, and the challenges of integrating cutting-edge technologies into therapeutic innovation. Join us for an in-depth look at how AI is shaping the future of breakthrough therapeutics.

Davos of Precision Medicine

PMWC 2027 Program

January 27–29, 2027 · Santa Clara Convention Center

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What the PMWC community says
PMWC is indeed The Davos of Biotech
Brook ByersFounderKleiner Perkins

Preparing the full agendaFive scientific tracks. Three days of discovery.

PMWC Hall of Impact

Previous Speakers Include

Nobel laureates, technology founders, regulators, CEOs and scientific pioneers who have taken the PMWC stage.

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PMWC 2027 Jan. 27-29 • Santa Clara
15 tracks • 400 speakers Co-hosted by Stanford/UCSF/Yale • Davos of PM
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