Verantos announces breakthrough in non-alcoholic steatohepatitis real-world evidence
- In an observational analysis, traditional approaches resulted in data accuracy of 54.1%; using advanced approaches, however, including unstructured data, natural language processing, and artificial intelligence-based inference, Verantos, Amgen, and Virginia Commonwealth University researchers achieved 78% improved data accuracy
- According to the American Liver Foundation, 25% of Americans have non-alcoholic fatty liver disease (NAFLD) or NASH, and the prevalence is increasing simultaneously with obesity, high cholesterol, and type 2 diabetes
- Natural language processing, a common technique used to mine electronic health record data, resulted in 63.3% and 68.8% accuracy for the key concepts of “alcohol use” and “liver fibrosis”
- “This opens the door to robust research that can benefit patients,”
Dr. Dan Riskin
Founder and CEO
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