
AI predicts safer opioid doses after surgery
A new AI model separates what doctors cannot change from what they can, offering a blueprint for safer postoperative prescribing.
Discover the newest research about AI innovations in 👤 Personalized Medicine.

A new AI model separates what doctors cannot change from what they can, offering a blueprint for safer postoperative prescribing.

A new machine learning tool challenges the rigid, decades-old rule used to decide who qualifies for a cochlear implant.

Moving dementia testing from annual clinic visits to daily smartphone check-ins could solve a massive bottleneck in clinical trials and early diagnosis.

A new machine learning model can pinpoint the origin of mysterious cancers from simple blood fragments, shifting the focus of liquid biopsies from detection to direction.

An AI model can spot heart failure risk day-by-day using standard electrocardiograms, but its performance drops when crossing oceans.

A new predictive model uses early data to forecast long-term GLP-1 weight loss, exposing a massive real-world retention crisis.

Elite cancer centers are finally trading exclusive data for global scale, shifting the balance of power in precision medicine.

A new proteomic analysis reveals why Parkinson’s drug trials keep failing despite using biologically pure patient groups.

By training deep learning models to read structural decay in tissue biopsies, researchers can now estimate the biological age of specific organs and predict chronic disease risk.

A new artificial intelligence index uses routine heart scans to calculate mortality risk, proving that how we store fat and muscle matters far more than simple body weight.