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A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH

Lookup NU author(s): Professor Quentin AnsteeORCiD



This is the authors' accepted manuscript of an article that has been published in its final definitive form by John Wiley & Sons, Inc., 2021.

For re-use rights please refer to the publisher's terms and conditions.

Publication metadata

Author(s): Taylor-Weiner A, Pokkalla H, Han L, Jia C, Huss R, Chung C, Elliott H, Glass B, Pethia K, Carrasco-Zevallos O, Shukla C, Khettry U, Najarian R, Taliano R, Subramanian GM, Myers RP, Wapinski I, Khosla A, Resnick M, Montalto M, Anstee QM, Wong VW, Trauner M, Lawitz EJ, Harrison SA, Okanoue T, Romero-Gomez M, Goodman Z, Loomba R, Beck AH, Younossi ZM

Publication type: Article

Publication status: Published

Journal: Hepatology

Year: 2021

Volume: 741

Pages: 133-147

Print publication date: 01/07/2021

Online publication date: 11/02/2021

Acceptance date: 01/01/2021

Date deposited: 12/02/2021

ISSN (print): 0270-9139

ISSN (electronic): 1527-3350

Publisher: John Wiley & Sons, Inc.


DOI: 10.1002/hep.31750


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