The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...

A new research paper was published in Volume 17, Issue 11 of Aging-US on November 26, 2025, titled “Epigenetic aging ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

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 ...

What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...

The man, who, without authorization, entered the room wearing a metal necklace during a scan, died a day after he was critically injured, the authorities said. By Rylee Kirk and Aishvarya Kavi A man ...