A small adjustment to how artificial intelligence (AI) systems assign diagnosis codes could help physicians save time, cut down on billing errors, and improve patient records, according to new ...
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Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication
Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
Yet, here comes another model family worth consideration: Meituan, a Chinese food delivery and e-commerce app, attracted the ...
The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...
Shandong Province University Laboratory for Protected Horticulture, Weifang University of Science and Technology, Weifang, China Introduction: Plant disease detection is critical for ensuring ...
Abstract: Cardiovascular diseases (CVDs) are one of the most significant public health issues globally, Among CVDs, myocardial infarction (MI) has a particularly high mortality rate. Early prediction ...
Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.
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