One student said, “It’s a great project and I was impressed with it, especially coming from a four-year undergraduate ...

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

Computer scientist Yoshua Bengio has become the first person to have their work cited more than one million times on the search engine Google Scholar.

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...

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

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

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 .

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

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

Machine learning sharpens CAD prediction but falls short in detecting plaques most likely to cause cardiac events in patients ...

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

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability while achieving 91% ROC AUC accuracy in index ...