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.

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

Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...

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.

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 ...

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

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

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 Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Masoumeh Farhadi Nia on: "Machine Learning for ...