TOKYO--(BUSINESS WIRE)--Axcelead Drug Discovery Partners, Inc. (HQ: Fujisawa, Kanagawa, Japan; hereinafter referred to as “Axcelead DDP”) announced on September 10 that it had entered into a Master ...

Drug discovery is the process of identifying and designing new chemical entities that can safely and effectively treat ...

A new drug discovery paradigm Enki is purpose-built for small-molecule drug discovery (Fig. 1). Fully trained on millions of data points including curated molecular structures, bioactivity profiles ...

Discover how the next generation of DMTA is creating a future-ready drug discovery engine through AI and automation.

Explore how organoids are unlocking new possibilities in modern drug discovery by improving disease modelling within ...

Drug discovery is notoriously inefficient. Pharmaceutical projects span years, moving from one specialized human team to the next through disconnected workflows that result in knowledge loss during ...

Targeted therapies for high-risk leukemia in children have yet to be developed, but scientists at Université de Montréal and its affiliated Institute for Research in Immunology and Cancer are working ...

Traditional drug development methods involve identifying a target protein (e.g., a cancer cell receptor) that causes disease, and then searching through countless molecular candidates (potential drugs ...

Masdar City, Abu Dhabi, UAE — 26 May 2025 — Insilico Medicine("Insilico"), a clinical-stage generative artificial intelligence (AI)-driven drug discovery company, announced today a pilot project in ...

AI is becoming more capable, but its value still depends on the data, questions and decisions behind it. Where is it ...

Drug discovery software is no longer a narrow category of chemistry tools, ELNs, or data repositories. In 2026, the strongest discovery teams are building connected software stacks that help ...