The AI machine learning model to detect a disorder that typically affects babies who are born early was developed by a team of University of Rochester researchers.
A model made using machine learning can predict if CPAP use in patients with obstructive sleep apnea will benefit or harm ...
Scientists have created a new system to calculate the risk of short-term disease progression in people with pulmonary ...
Machine learning models could help clinicians estimate individualized risk for major complications among women undergoing ...
Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial We trained and tested ML systems ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
A machine learning model uses cloud type and cloud cover to predict rapid changes in surface solar irradiance, including short-term “ramp” events that affect grid stability. When tested across 15 ...
Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...
Using the second-nearest neighboring atoms to predict metallic glass stability can help researchers more accurately model the disordered solid with strong, elastic properties, according to a recent ...
A People Analytics study of 205 tech professionals found that promotions, internal mobility, and career momentum are stronger predictors of early attrition than workplace culture.
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