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 ...
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 ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
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 ...
A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.
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New AI Tool Identifies Undiagnosed Alzheimer's Cases and Reduces Racial Gaps
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 ...
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 ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
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