
AI Links Loneliness to Type Two Diabetes
A digital twin model proves that mental health is not just a quality-of-life issue but a direct driver of chronic physical disease.
Discover the newest research about AI innovations in Research.

A digital twin model proves that mental health is not just a quality-of-life issue but a direct driver of chronic physical disease.

A new deep learning model proves that combining visual breathing patterns with heart scans can predict which emergency patients will need a hospital bed.

Standard medical billing codes are failing to track patient crises, leaving healthcare systems blind to critical mental health risks.

By analyzing continuous vital signs in the air, machine learning can identify traumatic brain injuries before the helicopter even lands.

A massive funding round in healthcare administration reveals that investors are betting on automated billing engines to solve the industry’s most expensive back-office headache.

A new ensemble AI model predicts positive surgical margins before breast-conserving surgery, but its performance drop in external testing highlights the ongoing struggle with clinical generalization.

A new clinical deployment in California is putting AI-driven embryo selection to its first real-world test.

Measuring a single protein has been the gold standard for tracking ALS, but a new multi-protein signature suggests we have been missing the bigger biological picture.

When a major medical supplier loses control of its patient databases, the failure rarely starts in its own server room.

A new multi-center model uses basic clinical data to flag brain metastasis before symptoms appear, challenging the need for expensive, complex biomarkers.