Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

New Australian research has identified simultaneous abnormalities across multiple biological systems in people with myalgic ...

A Macquarie University–led study has identified coordinated abnormalities in cellular energy, immune function and blood ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.

Recall Labs, a firm that has run 20 or so AI trading arenas, pitted foundational large language models (LLMs) against customized trading agents.

Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...