Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial ...

Real-Time Greenhouse Gas Detection Changes Everything New methane-focused satellites became operational in 2024, including ...

Roche and partner Klinrisk have picked up a CE-mark in the EU for an AI-based tool that can be used to predict renal function decline in patients with chronic kidney disease (CKD). The algorithm will ...

Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...

A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform ...

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

Researchers say the study indicates the ability to bring the power of AI and patient-reported outcomes directly into the clinic seamlessly, affordably, and at scale.

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

A simple blood test that can diagnose or predict one’s risk for autoimmune diseases would revolutionize medicine and transform patient care. Published in Science, Zaslavsky et al. advance this vision ...