Speaker Profile

Ph.D., A. Melvin Ramsay Fellow (Former Chief Scientific Officer), Solve M.E.

Biography
Tim advises Solve M.E. on data, AI, and research strategy to advance precision medicine for MECFS, Long COVID, and other post-infection diseases. He is an author and reviewer for the JCO Clinical Cancer Informatics and a member of the NINDS MECFS Biospecimen Resource Access Committee. Previously, Tim oversaw research funding at both the American Society for Radiation Oncology and the NIH. He has been recognized by awards such as the NIH Directors Award, NCATS Directors Award, NIAID Merit Award, the U.S. Department of State Embassy Science Fellowship, and the American Association for the Advancement of Science (AAAS) Science and Technology Policy Fellowship.


Talk
Catalyzing a RWD Strategic Alliance for Precision Medicine
National Academy of Medicine recommended a common research agenda for infection-associated chronic conditions and illnesses (IACCIs). We will showcase Solve M.E.'s RWD platform, with case studies on how the platform helped explore IACCI patient subtyping and trial recruitment, and also discuss the vision to catalyze a RWD strategic alliance to advance IACCI precision medicine.


AI and Data Sciences Showcase:
Solve M.E.

The Solve ME/CFS Initiative (Solve M.E.) is a non-profit organization that serves as a catalyst for critical research into diagnostics, treatments, and cures for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), Long Covid and other post-infection diseases.

 Session Abstract – PMWC 2025 Silicon Valley

Showcase Track S1 - February 5 9.00 A.M.-3.45 P.M.,Showcase Track S1 - February 6 9.45 A.M.-4.00 P.M.,Showcase Track S1 - February 7 11.15 A.M.-2.00 P.M.


The PMWC 2025 AI Company Showcase will provide a 15-30 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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