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Researchers Use Artificial Intelligence to Determine Extent of Damage in Kidney Disease

Researchers from Boston University School of Medicine (BUSM) have developed a novel artificial intelligence (AI) tool to predict the grade of interstitial fibrosis and tubular atrophy (IFTA), a known structural correlate of progressive and chronic kidney disease.Chronic kidney disease (CKD) is caused by diabetes and hypertension. In 2017, the global…

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Using machine learning to predict high-impact research

An artificial intelligence framework built by MIT researchers can give an 'early-alert' signal for future high-impact technologies, by learning from patterns gleaned from previous scientific publications.In a retrospective test of its capabilities, DELPHI, short for Dynamic Early-warning by Learning to Predict High Impact, was able to identify all pioneering papers…

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