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 ...
Multiple recent assessments point to persistent skill and capacity shortfalls in crypto-investigation training: Europol and ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
The lack of gains in productivity from AI could stall adoption and burst the economic bubble. Is there a rational explanation ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
A modern, full-stack chat application demonstrating how to integrate React frontend with a Go backend and run local Large Language Models (LLMs) using Docker's Model Runner. This repo also integrates ...
A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial intelligence (AI) tools in the hands of many more people by reducing the cost ...
The inaugural competition surprisingly awarded two $100,000 grand prizes to address challenges in defining robust benchmarks for complex biology.
Introduction: Cellular machinery is built upon proteins and their functional interrelationships. Their network evaluation is essential for a comprehensive insight into biological processes and may ...
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