Many promising therapies fail because preclinical models do not fully capture the complexity of the human heart. A new review ...

Researchers at Phenomix Sciences are using machine learning and genetic risk scoring to investigate emotional hunger, an obesity phenotype linked to emotional and reward-driven eating behaviours. Dr ...

NAMs are now part of early drug discovery, but adoption remains uneven. Join leading experts for a discussion on current applications, limitations and what is required for wider use. The session ...

Researchers have identified metabolic vulnerabilities in Fibrolamellar cancer, a rare liver malignancy affecting adolescents and young adults, using functional profiling and mass spectrometry. The ...

One, an integrated platform combining high-throughput ADME testing with AI-powered human pharmacokinetic projections.

An AI-assisted drug discovery platform using transfer learning has identified a promising gp130 inhibitor for colorectal ...

Scientists at Southwest Research Institute have used AI-driven drug discovery platforms to rapidly identify and synthesise 23 ...

Researchers have developed a scalable bioreactor-based system to produce cardiac organoids that successfully integrated into ...

German researchers have used cerebral organoids to investigate how the epilepsy medication valproate interferes with early ...

Marc Aurel Busche is Professor of Dementia and Neurodegeneration at the University of Basel, where he directs the Memory ...

Tau tangles are a hallmark of Alzheimer's disease and related disorders, but evidence suggests the real damage may come from ...