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

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

A new U.S. study reveals who has reliable air conditioning and who doesn’t, exposing deep inequalities in how people ...

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 ...

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 .

Discover how drones and AI are revolutionizing Indian agriculture, enhancing yields and sustainability through precision data-driven farming.

Data Firewall: Utilizes AI-based filters and algorithms to identify and prevent corrupted, suspicious, or malicious inputs ...

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...