Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...
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 ...
The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, addressing mammography's limitations in dense breast tissue. The test achieved 92.3 ...
The Brighterside of News on MSN
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 ...
Department of Oncology, Zhujiang Hospital, Southern Medical University, China; Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, China; ...
Jiangsu Key Laboratory for Design and Manufacturing of Precision Medicine Equipment, School of Mechanical Engineering, Southeast University, Nanjing 211100, China ...
Abstract: Trustworthy machine learning aims at combating distributional uncertainties in training data distributions compared to population distributions. Typical treatment frameworks include the ...
State Key Laboratory of Synthetical Automation for Process Industries, College of Information Science and Engineering, Northeastern University, Shenyang 110819, China ...
Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...
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