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6 articles
This article explains how AI-driven drug discovery works and why Insilico Medicine's advancement of an AI-discovered IPF treatment to Phase III trials represents a significant milestone in computational medicine.
This article explains how a scaffold-split Random Forest QSAR model, combined with tools like ChEMBL, RDKit, SHAP, and BRICS, can autonomously identify and design novel EGFR inhibitors, demonstrating advanced AI applications in drug discovery.
Takeda has entered a $600 million AI drug discovery collaboration with Insilico Medicine, leveraging AI to accelerate early-stage drug development across multiple therapeutic areas.
This article explains how AI-powered drug discovery models work and why integrating them into accessible platforms like Claude represents a major breakthrough in pharmaceutical research accessibility.
ByteDance's Anew Labs, known for building TikTok's recommendation algorithm, is now using AI to design drugs for previously 'undruggable' diseases.
Learn how to use AI-powered tools for drug discovery by analyzing molecular structures and predicting drug properties using Python and machine learning.