Speaker Profile

PhD, Director, Machine Learning, Scipher Medicine

For the past five years, Ted has leveraged AI techniques to advance the field of precision medicine diagnostics. During his time at Scipher Medicine, he made significant contributions to the creation and successful launch of PrismRA, a groundbreaking molecular signature response classifier that utilizes patient gene expression signatures to accurately predict response to TNFinhibitor therapy. Notably, this pioneering test has garnered Medicare approval for coverage, marking a significant milestone in the field of personalized medicine in immunology. Before joining Scipher, Ted received his PhD in Engineering from Dartmouth College. His research primarily centered around diagnostic development, employing machine learning methodologies and extensive omics datasets to drive innovation in healthcare diagnostics.

Large Genomic Models Using Largest Clinico-Genomic Registry in Immunology
Discover novel molecular markers through the utilization of extensive genomic data. This presentation explores the potential for enhancing predictive models with generative AI using the largest clinicogenomic registry in immunology

AI and Data Sciences Showcase:
Scipher Medicine

Scipher Medicine® is a precision immunology company on a mission to match each patient with their most effective therapy to improve health outcomes.

 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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