Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
As healthcare AI matures in 2026, proof beats promises, trust outperforms technology, and humans reclaim the center of care.
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 ...
DigitalXForce Secures $5M Strategic Investment, Hits $100M Valuation to Accelerate Global Expansion of AI-Powered GRC & Continuous Security Posture Management This funding is a strong vote of ...
A blood-based liquid biopsy test detects early-onset colorectal cancer with strong diagnostic performance and high ...
AZoLifeSciences on MSN
Machine learning models identify early metabolic shifts
Acute systemic inflammation has long been suspected to trigger harmful processes within the brain, contributing to neurodegenerative disorders such as Alzheimer's and Parkinson's disease. A new study ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Overactive immune response disrupts brain function before neuronal damage occurs. Tracking urea levels and nerve cell markers ...
The U.S. Army created a new AI and machine learning officer career field, launching initial selections through VTIP in 2026.
Military Times on MSN
Army stands up AI, machine-learning career field for officers
The Army on Tuesday announced that it is standing up a dedicated artificial intelligence and machine-learning career field ...
The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...
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