Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.
Clustering algorithms, a fundamental subset of unsupervised learning techniques, strive to partition complex datasets into groups of similar elements without prior labels. These methods are pivotal in ...
Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.
Background Nutrition is a critical determinant of tuberculosis (TB), providing a protective effect at high body mass index ...
Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...
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 ...
From Caseload to Health System Change: Patterns and Outcomes of Pediatric ENT Emergencies in Burundi
Pediatric ENT emergencies pose unique risks because small anatomic airways can make minor pathology life-threatening in minutes. The WHO pediatric emergency care framework underscores the urgency of ...
Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Amilcar has 10 years of FinTech, blockchain, and crypto startup ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
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