Speaker Profile

PhD, Vice President, Health and Life Sciences, QURE Healthcare

Dr. David oversees the deployment of QUREs proprietary provider engagement platform, which measures clinical care decisions made by providers nationwide, by presenting them with de novo virtual patients. Medical decision science is integral to evaluating the design, translation, market access, and adoption of novel diagnostics and therapeutics. Through his work at QURE, Dr. David has contributed to the accelerated integration of precision health technologies into practice, as well as the advancement of evidence-based care. Dr. David regularly collaborates with leaders in precision health and large health systems. Over the course of his career, Dr. David has held various board positions, adviserships, and appointments in industry, government, and academia.

Informing Translational Science with Medical Decision-Making Data
Two of the greatest challenges in precision health are translational science and technology integration into healthcare delivery. By engaging providers with customized virtual patients and carefully collecting resultant decision-making data, one can accurately assess their knowledge of precision tools, as well as diagnostic and therapeutic pathways in line with personalized and value-based care.

AI and Data Sciences Showcase:
QURE Healthcare

QURE Healthcare presents nationwide samples of healthcare providers with de novo virtual patients on a digital platform, to capture the clinical decisions being made with precision diagnostics and therapeutics. Results inform payer coverage and reimbursement (clinical utility), health system adoption, and market access strategy.

 Session Abstract – PMWC 2024 Silicon Valley

Showcase Track S1 - January 24 9.00 A.M.-4.45 P.M.,Showcase Track S1 - January 25 9.45 A.M.-4.00 P.M.,Showcase Track S1 - January 26 11.00 A.M.-3.45 P.M.

The PMWC 2024 AI Company Showcase will provide a 15-minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.


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