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 ...

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

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 ...

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

FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

The clinical and biological features proposed here in conjunction with ML can improve the interpretation of CRC mechanisms and predict patient ...

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