ReviveMed, an MIT spinout, develops an AI-based metabolomic platform and digital metabolic twins to simulate disease progression and treatment response. We advance genomics by leveraging crucial yet underexplored metabolite data, e.g., glucose or cholesterol, as our patented AI technology can characterize 20 times more metabolites and pioneer pre-trained generative models for metabolomics. We have growing precision medicine programs for oncology and cardio-metabolic diseases. In oncology, we have identified metabolic mechanisms regulating immune activity and a blood-based test of immune checkpoint inhibitor (ICI) response, addressing limited efficacy (<25% benefit), validated in renal cell carcinoma, where genetic tests fail. In metabolic diseases, we have identified blood lipid profiles and novel in-vivo validated therapeutic targets driving steatohepatitis progression. We further form strategic partnerships for therapeutic discovery and clinical trial optimization.
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