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 ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...

Study: Artificial intelligence model as a tool to predict prediabetes. Image Credit: CI Photos / Shutterstock In a recent study published in the journal Scientific Reports, researchers developed a ...

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 ...

NOAA is using those traditional forecasting models as frameworks for its new AI forecasting systems. The agency has estimated that the AI programs will require between 91% and 99% less computing ...

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 ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...