Building a Genetics Engine to Crack the Target Bottleneck
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Building a Genetics Engine to Crack the Target Bottleneck
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A chronic shortage of high‑quality targets remains one of the biggest constraints in drug discovery, even as therapeutic tools become more powerful and diverse. Regeneron is tackling that problem with its Regeneron Genetics Center, which has built a genetics‑driven discovery engine that integrates human genetics with rich clinical data, large‑scale proteomics, and AI‑driven analytics. Aris Baras, head of the Regeneron Genetics Center, discusses how proteomics is reshaping RGC’s view of risk prediction, how AI helps his team sift through hundreds of millions of variants, and what it really takes to scale this kind of effort and translate it into more successful, transformative therapies for patients.
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