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

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, addressing mammography's limitations in dense breast tissue. The test achieved 92.3 ...

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 ...

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 ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Fire crews have staged emergency situations on a decommissioned Metro carriage to help them train. The 40-tonne carriage was donated to the Tyne and Wear Fire and Rescue Service's (TWFRS) training ...

During this symposium, leading international epileptologists discussed the key challenges and opportunities that currently exist ...