COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

Doctors may soon be able to diagnose an elusive form of heart disease within seconds by using an AI model developed at ...

Alzheimer’s disease touches millions of families across the United States and remains the most common neurodegenerative ...

Investigations suggest V2P may be efficiently applied for the automated identification of causal variants in simulated and actual patient sequencing data across phenotypes.

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

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 ...