Artificial intelligence (AI) can accelerate drug development, reduce costs, and improve treatment efficacy, but faces challenges like data quality and regulatory hurdles. Over 900 FDA-approved ...

During a health-focused event in New York on Tuesday, Google announced that it’s developing a collection of “open” AI models for drug discovery called TxGemma. The AI models, which Google said will be ...

Healx, a U.K. startup using AI to discover new drugs for rare diseases, has raised $47 million in a Series C round of funding co-led by Europe’s Atomico and Silicon Valley-based R42. The company also ...

Absci Corporation uses IDCP technology to quickly produce high-quality drug candidates in as little as six weeks, reducing costs and improving research success rates. The company has promising ...

The Computational Analysis of Novel Drug Opportunities (CANDO) platform is a computational approach to make drug discovery faster and less expensive while also being safe and effective. According to ...

Avner Schlessinger, PhD, right, working with his lab researchers at Mount Sinai AI Small Molecule Drug Discovery Center in New York City. [Mount Sinai] Most breakthrough discoveries are made based on ...

Located at the cellular interface, membrane proteins play critical regulatory roles in the signaling between a cell and its interacting environment, making them popular and ideal drug targets.

Researchers from the Massachusetts Institute of Technology (MIT) Jameel Clinic for Machine Learning in Health have announced the open-source release of Boltz-2, which now predicts molecular binding ...

New approach methodologies (NAMs) aim to address the limitations of animal models by assessing drug efficacy and safety in a more ethical, human-relevant way. The term ‘NAMs’ encompasses several ...

ELRIG, a not-for-profit, volunteer-led organization dedicated to the global drug discovery community, has revealed the keynote speakers for its flagship event, Drug Discovery 2025. Taking place at the ...