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 ...

Bruker's Acquifer Imaging Machine (IM) is a fully automated widefield microscope with both brightfield and fluorescence imaging capabilities. It is best suited for high-content screening (HCS) and ...

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 ...

Generative AI based on Large Language Models (LLMs), the technology behind popular tools like ChatGPT and Google Gemini, is revolutionizing various industries, including the world of drug discovery.

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 ...

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.

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 ...

Artificial intelligence has already made its mark in commercial industries, and there's a good argument to be made that AI is most impactful in the drug discovery marketplace: Drug discovery companies ...