The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
Background: Multimorbidity, the co-occurrence of 2 or more chronic conditions, is important in patients with inflammatory bowel disease (IBD) given its association with complex care plans, poor health ...
n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...
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Researchers develop versatile machine learning tool to automate complex clinical diagnostics
A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could ...
See related articles at www.cmaj.ca/lookup/doi/10.1503/cmaj.202434 and www.cmaj.ca/lookup/doi/10.1503/cmaj.202066 Evaluation of machine-learned systems is a ...
A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...
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