Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

Machine learning predicted ASD using sex-specific prenatal/perinatal factors: pregestational BMI, socioeconomic status, maternal age, and more.

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

A research team has developed a powerful computational tool—the Algorithmic Root Trait (ART) extraction method—that can “see” beyond human perception to uncover hidden features in plant roots.

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

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 identified that newly derived risk scores can safely predict the risk of myocardial infarction (MI) and major ...

Among adolescent girls with concussion, greater initial emotional symptom severity, reflected in higher anxiety, depression, and sleep disturbance scores, was associated with a higher likelihood of ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

MRI radiomics model uses pituitary scans to accurately predict growth hormone deficiency in children, providing a non-invasive diagnostic alternative.