A machine-learning–enabled “electronic nose” capable of identifying ovarian cancer–associated signatures from blood plasma samples has been...
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Why is this study needed? Sepsis is a leading cause of paediatric death internationally, with in-hospital mortality estimates varying from 5-20%. Delays to diagnosis and treatment initiation are associated with poorer outcomes. Existing models, such as the recently published diagnostic criteria, Phoenix Sepsis Criteria (PSC), identify children with sepsis and/or predict mortality. They can tell…
A machine-learning–enabled “electronic nose” capable of identifying ovarian cancer–associated signatures from blood plasma samples has been...
A machine-learning–enabled “electronic nose” capable of identifying ovarian cancer–associated signatures from blood plasma samples has been...
New research published in Machine Learning shows pattern learning is not enough to train AI to tackle games—and abstract representations or hybrid...
New research published in Machine Learning shows pattern learning is not enough to train AI to tackle games—and abstract representations or hybrid...
Machine-learning models may improve postoperative risk stratification and help guide decisions about adjuvant therapy in oral cavity squamous cell...
Machine-learning models may improve postoperative risk stratification and help guide decisions about adjuvant therapy in oral cavity squamous cell...
Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and...
Researchers at the University of Bath have developed the first artificial intelligence (AI) tool that predicts the carbon footprint of buildings from...
Mortality rates have decreased, with treatment outcomes improving, the department reports.
Researchers at Weill Cornell Medicine have developed a bmachine-learning system that could help doctors identify a serious pregnancy complication /b...