Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...
Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using comprehensive health examination data from nearly 37 701 individuals.Methods ...
Multicentric evaluation of an artificial intelligence model to stratify stage II colon cancer patients from whole slide images.
Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...
Computational models and simulations have had an important role in engineering analysis since as far back as the 1960s. It is widely recognized that the use of modeling and simulation tools can make ...
Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...
A hybrid AI–human scoring system delivers expert-level accuracy in ulcerative colitis endoscopic assessment while reducing human review by 81 percent.
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