Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.
Explore the impact of AI in drug discovery as 2026 promises critical clinical results and industry transformations.
AI boosts efficiency in early, high-failure R&D, improving success rates and capital efficiency across biotech and pharma.
Palo Alto, CA; June 18, 2025 – SandboxAQ today announced the launch of SAIR (Structurally Augmented IC50 Repository), a dataset of protein-ligand pairs with annotated experimental potency data for ...
Rochester, Minn.-based Mayo Clinic and pharmaceutical giant Merck are teaming up to leverage AI for drug discovery and ...
TOKYO--(BUSINESS WIRE)--Elix, Inc. (CEO: Shinya Yuki / Headquarters: Tokyo; hereinafter “Elix”) is pleased to announce that its AI drug discovery platform, Elix ...
A new AI tool has been shown to identify treatments designed to reverse disease states in cells up to 25 times quicker, more efficiently and more accurately than previous models. Researchers from ...
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 ...
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