Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...
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 ...
The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, necessitates innovative approaches to resource management. Biomass, a versatile ...
Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...
17don MSN
Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
Artificial Intelligence (AI) and Machine Learning (ML) in pediatrics represent a burgeoning field within healthcare, driven ...
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