A team of industry leaders and the University of North Dakota are targeting the nation’s $966 billion chronic disease ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Dr. Vishal Sharma [email protected] Not long ago, the word “Artificial Intelligence (AI)” would bring to mind images of sci-fi robots, self-aware machines, or futuristic cities powered ...
Nimbus Therapeutics, LLC ("Nimbus Therapeutics" or "Nimbus"), a drug discovery company developing breakthrough medicines ...
Objective: To evaluate and to compare machine learning models for predicting hypertension in patients with diabetes using routine clinical variables. Methods: Using Behavioral Risk Factor Surveillance ...
Introduction: This study aimed to develop a diabetic retinopathy (DR) Prediction model using various machine learning algorithms incorporating the novel predictor Triglyceride-glucose index (TyG).
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
Introduction: Diabetic kidney disease (DKD) represents the predominant form of chronic kidney disease (CKD) linked with diabetes mellitus. The application of artificial intelligence holds promise for ...
Abstract: The Modular Multilevel Converter (MMC) has garnered significant interest recently due to its superior harmonic performance and improved efficiency in high-voltage direct current electrical ...
ABSTRACT: This integrative review explores the emerging interdisciplinary approach of combining psychotherapy, artificial intelligence (AI), and kinesiology in the field of mental health care. The ...
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