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Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic ...
Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.
A machine learning tool’s analysis of over 140,000 factors outperforms a fracture liaison service approach to fracture risk ...
Machine learning can be valuable in supporting sustainable development of biomass if it is applied across the entire lifecyle of biomass and biomass-derived products, according to a new study. Biomass ...
This sub-forum focused on the core theme of "Applied Artificial Intelligence Research," inviting several scholars deeply ...
The Center for Applied AI recently hosted our annual Machine Learning in Economics Summer Institute. This year the Institute was held from August 1st to August 5th. Following the Institute, the first ...
A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...
In the mortgage industry, staying ahead of the curve is crucial to success—which can be a problem when the industry itself is filled with new daily twists and turns. Thankfully, the increasing use of ...
Applied Digital (APLD) has recently made significant strides, including securing a new lease agreement with CoreWeave for an additional 150MW at their Polaris Forge 1 Campus and announcing the ...
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