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 ...

Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

Metabolic syndrome affects nearly 40% of adults, with sharper increases seen in older age groups and non-Hispanic Black populations.

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.

Background/purpose Social media (SM) has become an indispensable tool in healthcare, providing platforms for networking and ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...

Linear regression, also called simple regression, is one of the most common techniques of regression analysis. Multiple regression is a broader class of regression analysis, which encompasses both ...

Some requests by reviewers to cite their own publications are coercive and can unnecessarily delay indexation and publication.

Tesla and Merc are the better choices for driver rewards Decent calibration means the driver aids on our trio aren't that intrusive. However, the Merc's and the Tesla's are the easiest to disable on ...

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 ...