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Insitro

Machine learning meets human biology data for drug discovery

Founded2018
HQSouth San Francisco, CA
StagePreclinical
insitro.com
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Overview

Insitro combines large-scale biological data generation with machine learning to transform drug discovery. Founded by Daphne Koller, one of the world's foremost AI researchers, the company creates massive datasets from iPSC-derived cell models and patient cohorts, then applies ML to discover novel targets, biomarkers, and drug candidates. Insitro has partnered with Eli Lilly to apply its platform in metabolic disease.

Focus areas

Target Discovery, Phenomics, Platform


Technology

Platform that generates large-scale biological datasets from iPSC-derived cell models, patient-derived samples, and clinical cohorts, then applies ML to map genotype-to-phenotype relationships, discover disease-relevant targets, identify patient stratification biomarkers, and design drug candidates.

Platforms & Tools
iPSC-derived cell modelsHigh-content phenotypic screeningML-driven target discovery

Leadership

Daphne Koller

CEO & Founder

Former Stanford CS professor, Coursera co-founder, MacArthur Fellow


Partnerships
Eli LillyDrug discovery collaboration in metabolic disease using iPSC-derived models and ML

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