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Translational Medicine / 转化医学ADMET Prediction, DeepChem ML Framework

Bharath Ramsundar

PhD

🏢Deep Forest Sciences / formerly Stanford University🌐USA

Founder and CEO

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👥Biography 个人简介

Bharath Ramsundar created DeepChem, the most widely used open-source deep learning framework for drug discovery and molecular machine learning, providing the computational infrastructure that enables researchers worldwide to apply AI to cancer drug ADMET (absorption, distribution, metabolism, excretion, toxicity) prediction. His multitask deep learning approaches leverage data across related molecular properties to improve prediction accuracy for drug-like properties of cancer drug candidates. He has developed models for predicting drug toxicity, metabolic stability, and tissue distribution that help prioritize cancer drug candidates before expensive in vivo studies. His open-source tools have democratized AI-driven drug discovery for academic cancer research laboratories.

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🧪Research Fields 研究领域

ADMET prediction machine learning
DeepChem molecular ML framework
multitask learning drug properties
toxicity prediction deep learning
pharmacokinetics AI cancer drug

🎓Key Contributions 主要贡献

Representative Works 代表性著作

📄Data Sources 数据来源

Last updated: 2026-04-01 | All information from publicly available academic sources

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