Novel machine learning model effectively predicts NASH

BOSTON — A machine learning approach demonstrated a relatively high sensitivity rate for predicting the probability of non-alcoholic steatohepatitis in at-risk patients, according to data presented at The Liver Meeting 2019.“I have been involved in NASH research for the last 15 years and one of the striking findings is the low awareness of the disease; both from patients, but also from a primary care physician’s perspective,” Jörn M. Schattenberg, MD, of the University Medical Center in Mainz, Germany, said during a press conference.Schattenberg noted that theRead More

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