Work

Machine learning encoding of liver biopsy images enables prediction of molecular measurements in a NASH F3/F4 fibrosis clinical cohort

Year: 2022

Type: article

Source: Journal of Hepatology

DOI: 10.1016/s0168-8278(22)01159-x

Authors: Michael D. Bereket, Francesco Paolo Casale, Rohit Loomba, Arun Sanyal, Stephen Harrison, Zobair Younossi, Catherine Jia, David Lopez, Li Li, Robert Myers, David Breckinridge, Andrew Billin, Eilon Sharon, Matthew Albert, Theofanis Karaletsos, Daphne Koller

Institutions: insitro, inc. (United States), University of California San Diego, Virginia Commonwealth University, University of Oxford, Inova Fairfax Hospital, Gilead Sciences (United States)

Language: English

Topic: Liver Disease Diagnosis and Treatment

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4283818868

FWCI: 0.181

Cites:

Cited by: 1

Related to: 10