A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from fragmented datasets to interpretable models, precision interventions, and ultimately a “virtual gut” that could simulate how diet, drugs, or microbial therapies affect individual patients.

Researchers at McMaster University have developed a new generative artificial intelligence (AI) model capable of drastically speeding up drug discovery — and, in early tests, it has already designed a brand-new antibiotic.

Biodiversity monitoring faces significant challenges across Europe, from the labour-intensive nature of traditional field surveys to the shortage of taxonomic expertise needed to identify species. The EU-funded project MAMBO (Modern Approaches to the Monitoring of Biodiversity) addresses these challenges through innovative monitoring technologies that combine artificial intelligence, remote sensing, and automated field equipment, transforming how biodiversity is assessed across Europe.