In a recent study published in Scientific Reports, researchers established a benchmark classification of major depressive disorder (MDD) using machine learning (ML) on cortical and subcortical ...
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 ...
The study, from MIT Lab scholars, measured the brain activity of subjects writing SAT essays with and without ChatGPT.
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
insights from industryJohanna Uhari-Väänänen & Timo BraggeGroup Leader (Neuropharmacology) - Senior Data ScientistCharles River Laboratories In this interview, industry experts Johanna Uhari-Väänänen ...
The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning ...
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