Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable model for predicting the performance of licensure examination takers. Released ...

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 ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...

NOAA is using those traditional forecasting models as frameworks for its new AI forecasting systems. The agency has estimated ...

AI chatbot achieves high accuracy in performing clinical patient diagnostic interviews for common mental health disorders.

A new risk score may identify patients with node-negative pancreatic neuroendocrine tumors who face a high risk for ...

Lyophilization model can help optimize freeze-drying steps for continuous manufacturing processes, according to MIT researchers.