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Validation of a Machine Learning-Based Approach
(DELTA Liver Fibrosis Score) for the Assessment of
Histologic Response in Patients With Advanced Fibrosis Due to NASH
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AASLD 2020 Nov 11-16
Amaro Taylor-Weiner,1 Harsha Pokkalla,1 Ling Han,2 Catherine Jia,2 Ryan Huss,2 Chuhan Chung,2 Hunter Elliott,1 Benjamin Glass,1 Kishalve Pethia,1 Oscar Carrasco-Zevallos,1 Chinmay Shukla,1 G. Mani Subramanian,2 Robert P. Myers,2 Ilan Wapinski,1 Aditya Khosla,1 Murray Resnick,1,3 Michael C. Montalto,1 Quentin M. Anstee,4 Vincent Wai-Sun Wong,5 Michael Trauner,6 Eric J. Lawitz,7 Stephen A. Harrison,8 Takeshi Okanoue,9 Manuel Romero-Gomez,10 Zachary Goodman,11 Rohit Loomba,12 Andrew H. Beck,1 Zobair M. Younossi11
1PathAI, Inc., Boston, MA; 2Gilead Sciences, Inc., Foster City, CA; 3The Warren Alpert Medical School, Brown University, Providence, RI; 4Institute of Cellular Medicine, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK; 5The Chinese University of Hong Kong, People's Republic of China; 6Medical University of Vienna, Austria; 7Texas Liver Institute, UT Health San Antonio, TX; 8Pinnacle Clinical Research, San Antonio; 9Saiseikai Suita Hospital, Suita, Japan; 10Hospital Universitario Virgen del Rocío, Sevilla, Spain; 11Inova Fairfax Hospital, Betty and Guy Beatty Center for Integrated Research, Inova Health System, Falls Church, VA; 12UC San Diego NAFLD Research Center, La Jolla, CA
References: 1. Angulo P, et al. Gastroenterology 2015;149:389-97; 2. Sanyal AJ, et al. Hepatology 2019;70:1913-27; 3. Gawrieh S, et al. Ann Diagn Pathol 2011;15:19-24; 4. Jung ES, et al. J Pathol Transl Med 2016;50:190-6; 5. Ratziu V, et al. Gastroenterology 2005;128:1898-906; 6. Rockey DC, et al. Hepatology 2009;49:1017-44; 7. Pokkalla H, et al. AASLD 2019, abstr 0187; 8. Pokkalla H, et al. EASL 2020, poster FRI003; 9. Younossi ZM, et al. AASLD 2019, abstr 1718; 10. Harrison SA, et al. J Hepatol 2020;73:26-39.
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