Can AI fix the drug development bottleneck?
A new UK regulatory initiative is putting AI to the test to solve the pharmaceutical industry's most expensive problem: high failure rates.
AI finds hidden social isolation in clinical notes
Doctors write down clues about their patients' loneliness, but those warnings usually sit buried in unstructured text where no one can find them.
Telehealth GLP-1 sales bypass clinical safety
Getting a prescription for the world's most sought-after weight-loss drugs has devolved into a frictionless, five-minute checkout process.
AI reads rapid tests using synthetic images
Training diagnostic AI no longer requires massive, expensive libraries of real patient photos.
Non-invasive tests target endometriosis delay
A decade of silent suffering for endometriosis patients might finally be cut short by a shift toward non-invasive diagnostics.
Wrist trackers predict Parkinson’s disease years early
A new analysis of wearable data shows that tracking how we move during sleep can flag Parkinson's risk a decade before clinical symptoms appear.
The Oncology AI Report — July 2026
Predicting response to neoadjuvant therapy using artificial intelligence on digitized histopathology slides: a systematic review
FDA Cuts Red Tape for Health Wearables
The federal government is loosening its grip on low-risk digital health tools, but developers who mismanage their marketing claims will still face regulatory crackdowns.
AI Predicts Bone Surgery Infection Risk Unevenly
A new machine learning model can pinpoint which ankle fracture patients are highly likely to develop surgical infections, but its tendency to miss the majority of at-risk cases makes it a dangerous tool if used as a standalone safety net.
FDA clears self-updating radiation planning software
A new regulatory shortcut could quietly solve the worst bottleneck in cancer treatment.