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AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...
PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology We used an innovative machine learning approach to analyze ...
New AI Model Can Predict Blood Loss In Liposuction. New Delhi, Dec 26 (IANS) A newly developed artificial intelligence (AI) ...
A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
A recent study published in npj Materials Degradation introduces a two-stage machine learning (ML) framework that predicts the degradation of protective coatings under various environmental conditions ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
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