
AI designs new antibiotic for drug-resistant infections
Generative AI just bypassed decades of traditional chemistry to design a viable antibiotic from scratch, but the real test lies in the clinical pipeline.
Discover the newest research about AI innovations in 🤖 Machine Learning.

Generative AI just bypassed decades of traditional chemistry to design a viable antibiotic from scratch, but the real test lies in the clinical pipeline.

Smartwatches and rings are marketed as lifesaving heart monitors, but new data shows their single-lead AI systems fail the very patients who need them most.

A massive data breach at Novo Nordisk reveals that the real value of modern pharma is no longer just the chemical formula, but the digital infrastructure behind it.

A new deep-learning model diagnoses autoimmune hepatitis with expert-level accuracy in some scenarios, but its failure against hepatitis B reveals a critical diagnostic blind spot.

A new AI model can detect lethal pancreatic tumors up to three years before they show up on standard medical scans.

A new reanalysis reveals that highly praised machine learning survival models underperform both human doctors and a thirty-year-old statistical formula at predicting patient death at critical clinical milestones.

A new machine learning model predicts individual survival times for multiple system atrophy, forcing clinicians to rethink how they deliver terminal prognoses.

The race to dominate clinical AI is no longer about transcribing doctor-patient chats; it is about controlling the entire administrative backbone of healthcare.

A massive clinical trial is putting machine learning in charge of life-or-death oxygen decisions for twenty-four thousand critically ill patients.

Automating the search for mucus plugs in lung scans reveals a hidden driver of COPD mortality that human eyes routinely miss.