Digital Twins Solve Rare Disease Trial Dilemma
Using virtual clones to simulate disease progression could finally solve the recruitment bottleneck that stalls rare disease drug development.
AI predicts kidney cancer immunotherapy survival rates
A new machine learning model uses basic blood markers to predict how kidney cancer patients respond to immunotherapy.
NHS funds ambient voice tech across hospitals
A massive funding injection promises to free doctors from keyboards, but the financial plumbing of the NHS could stall the rollout.
Digital twins predict cardiac pacing success
A new digital twin model shows that one-third of heart failure patients fail cardiac therapy because surgeons are aiming at the wrong target.
Testing AI algorithms at the ICU bedside
An ambitious clinical trial across Australasia is about to test whether machine learning can make split-second decisions to save critically ill patients.
Cheap DNA sequencing detects ovarian cancer
By combining two different genomic signals, researchers proved that cheap, shallow DNA sequencing can catch ovarian cancer with high accuracy.
Primary Care Moves to Autonomous AI Coworkers
The acquisition of Aster by Elation Health signals a major shift from AI that merely listens to AI that actively operates.
AI detects kidney disease using heart ultrasound videos
A new deep learning model spots chronic kidney disease using routine heart ultrasounds, bypassing the need for immediate blood work.
AI Training Targets the Healthcare Staffing Crisis
A $55 million bet on rapid online training exposes the deep cracks in traditional medical education.
Established machine learning matches tabular foundation models in clinical predictions
A new benchmark shows that expensive tabular foundation models offer almost no performance advantage over classic machine learning for predicting patient outcomes.