Researchers use machine learning and genetic analysis to uncover type 1 diabetes risk factors, improving prediction accuracy ...
A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.
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 ...
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Predicting genetic risk for type 1 diabetes just got more accurate thanks to machine learning study
In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...
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 ...
Researchers in the Philippines have created AI models that use whole-genome sequencing data to predict antibiotic resistance in E. coli from agricultural environments. Adaptive boosting and extreme ...
illustrating the comprehensive zero-shot benchmark of 19 universal machine learning interatomic potentials and the dominant impact of training data composition for surface energy prediction. A ...
Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in ...
Explore how machine learning is transforming the dairy industry, using AI and data-driven insights to improve efficiency, ...
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