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

Using full genome sequencing data from more than 347,000 individuals, researchers quantified how much genetic differences explain human traits such as height, body mass index, fertility, and disease ...

HealthDay News — Social determinants of health (SDoH) are independent risk factors for asthma, according to a study published online Oct. 24 in the Journal of Asthma.

Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

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

An artificial intelligence (AI)-powered lifestyle intervention app for prediabetes reduces the risk for diabetes similarly to ...

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

Ethnopharmacology, the study of traditional medicinal plant use within cultural contexts, has garnered significant attention for its potential to inspire ...