Standardized patient-derived glioblastoma organoids mirrored patients' radiotherapy responses and showed BET inhibitors may overcome radiation resistance.

Utilizing machine learning to assess distinct depressive symptoms improves the identification of adults with suicidal ideation.

Researchers in Beijing built logistic regression and XGBoost models that predict bone scintigraphy diagnostic categories before scanning, finding that probability calibration restores reliability ...

The Mount Sinai Tisch Cancer Center has transitioned its electronic health record (EHR)-to-clinical trial data integration technology from pilot to routine use across its cancer research program.

NHS data scientist Olayinka Jimoh develops AI tool to identify patients at risk of serious gastrointestinal bleeding, using ...

More patients are asking ChatGPT for health advice. Learn how to address AI-generated answers, protect privacy, and guide safer care.

Every heartbeat, breath, and blood-pressure reading streamed from a smartwatch is a message in transit. In a wireless body ...

A study developed ultrasound radiomics models to distinguish DKD from NDKD in patients with Type 2 diabetes. An integrated ...

„KI ist ein Schlüssel zum resilienten Bauen der Zukunft. Sie unterstützt Mitarbeitende bei Projektbewertungen – datenbasiert, ...

The Lancet Oncology Commission on accelerating equitable access to cancer genomics and precision oncology provides an important framework defining indicators that health systems can and should measure ...

UCLA Health has received a five-year, $25 million grant to lead a national program for testing and evaluation of AI tools geared towards treating patients with neurodegenerative disorders such as ...

Peer-reviewed study of 53,000 Nerivio users finds a patient's own headache pattern over the past 30 days, not the prodromal symptoms clinicians have watched for decades, is the strongest warning sign ...