About
Insitro leverages high-throughput phenotypic screening and machine learning to build predictive models of human biology, focusing initially on diseases like NASH and heart failure. Their platform combines large-scale experimental data – including cellular assays and human genetic data – with proprietary machine learning algorithms to identify and validate drug targets and predict clinical trial success. Notably, Insitro has established collaborations with pharmaceutical companies like Bristol Myers Squibb and Roche to apply their technology to specific disease areas and advance novel therapeutics.
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