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Machine Learning Models Identify Novel Histologic Features Predictive of Clinical Disease Progression
in Patients With Advanced Fibrosis Due to Nonalcoholic Steatohepatitis
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EASL 2020 Aug 27-29 virtual
Reported by Jules Levin
Harsha Pokkalla,1 Kishalve Pethia,1 Amaro Taylor-Weiner,1 Benjamin Glass,1 Hunter Elliott,1 Ling Han,2 Catherine Jia,2 Ryan S. Huss,2 Chuhan Chung,2 G. Mani Subramanian,2 Robert P. Myers,2 Stephen A. Harrison,3 Zachary Goodman,4 Murray Resnick,1,5 Aditya Khosla,1 Andrew Beck,1 Ilan Wapinksi,1 Arun J. Sanyal,6 Zobair M. Younossi4
1PathAI, Inc., Boston, Massachusetts, USA; 2Gilead Sciences, Inc., Foster City, California, USA; 3Radcliffe Dept of Medicine, University of Oxford, United Kingdom; 4Inova Fairfax Hospital, and Betty and Guy Beatty Center for Integrated Research, Inova Health System, Falls Church, Virginia, USA; 5The Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA; 6Virginia Commonwealth University, Richmond, Virginia
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