Researchers in Finland have combined virtual drug screening with machine learning (ML) – carried out on supercomputers – to dramatically shorten the time taken to identify candidate molecules. Virtual ...

Compound–protein interaction prediction is essential for drug discovery, yet current models struggle with accuracy due to reliance on sequence-based data and limited labeled datasets. Here, the ...

Hellgren et al. develop AEGIS, a transcriptomics-based tool that quantifies apoptosis-linked gene signatures to assess drug-induced liver injury risk across doses, in vitro models, species, and ...

Introduction Virtual reality-based telerehabilitation (VR-TR) combines gamified exercises with remote supervision for people with Parkinson’s disease (PD). Its effectiveness and safety in PD remain ...