Neoantigens are unique markers that distinguish only cancer cells. By adding B cell reactivity, cancer vaccines can move ...

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

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

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 ...

Abstract: Heart disease remains one of the leading causes of death worldwide. Effective management and prevention heavily depend on early detection and accurate prediction. However, traditional ...

Alzheimer’s disease touches millions of families across the United States and remains the most common neurodegenerative disorder in older adults. More than six million Americans currently live with ...

Abstract: Over recent years, the integration of machine learning (ML) techniques within healthcare has surged, facilitating the development of predictive models to assist in disease diagnosis and ...

A common chemical that is widespread in the U.S. has been linked to an increased risk of Parkinson’s disease, researchers say. In a recent study published in the journal Neurology, researchers found a ...

A new artificial intelligence (AI) tool can forecast a person’s risk of developing more than 1,000 diseases, in some cases providing a prediction decades in advance. The tool’s ability to model ...

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately progress to end-stage renal disease (ESRD). Globally, the prevalence of the CKD ...

Scientists at Mount Sinai have created an artificial intelligence system that can predict how likely rare genetic mutations are to actually cause disease. By combining machine learning with millions ...