Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
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 ...
Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...
At a time when cybersecurity threats loom large over the global and domestic digital space, CWG Ghana stands as concrete ...
Before the morning pipeline call, a sales leader opens the dashboard to check each team's forecast confidence. Insights from ...
Modern biology runs on precision, yet so much of the daily lab workflow remains stubbornly manual. Even today, one of the ...
Artificial intelligence has just redrawn the map of our genome’s control room, revealing hundreds of thousands of tiny DNA ...
Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
QVAC launches Genesis II, expanding the world’s largest synthetic AI dataset to 148B tokens and 19 domains for better ...