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 ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
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 ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.
insights from industryJohanna Uhari-Väänänen & Timo BraggeGroup Leader (Neuropharmacology) - Senior Data ScientistCharles River Laboratories In this interview, industry experts Johanna Uhari-Väänänen ...
Philstar.com on MSN
Study shows reliable model to predict licensure exam outcome
A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...
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