icon-folder.gif   Conference Reports for NATAP  
 
  The Liver Meeting
Boston MA
November 2019
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Machine Learning Models Accurately Interpret Liver Histology in Patients With Nonalcoholic Steatohepatitis
 
 
  AASLD 2019 Nov 8-11 Boston
Reported by Jules Levin
 
Harsha Pokkalla,1 Kishalve Pethia,1 Benjamin Glass,1 Jennifer K. Kerner,1 Yevgeniy Gindin,2 Ling Han,2
Ryan Huss,2 Chuhan Chung,2 C. Stephen Djedjos,2 G. Mani Subramanian,2 Robert P. Myers,2 Murray Resnick,3 Stephen A. Harrison,4 Zachary D. Goodman,5,6 Aditya Khosla,1 Andrew H. Beck,1 Ilan Wapinski,1 Zobair M. Younossi6,7
 
1. Path AI, Boston, MA, USA; 2. Gilead Sciences, Inc., Foster City, CA, USA; 3. The Warren Alpert Medical School, Brown
University, Providence, RI, USA; 4. Pinnacle Clinical Research, San Antonio, TX, USA; 5. Inova Fairfax Hospital, Falls Church, VA, USA; 6. Betty and Guy Beatty Center for Integrated Research, Inova Health System, Falls Church, VA, USA; 7. Inova Fairfax Hospital, Falls Church, VA

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