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

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

doi:10.1016/S0168-8278(22)01159-X

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

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

Michael D. Bereket, Francesco Paolo Casale, Rohit Loomba, Arun Sanyal, Stephen Harrison, Zobair Younossi, Catherine Jia, David Lopez, Li Li, Robert Myers, …

Journal of hepatology, Vol.77, p.S409

07/2022

DOI: https://doi.org/10.1016/S0168-8278(22)01159-X

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Title: Machine learning encoding of liver biopsy images enables prediction of molecular measurements in a NASH F3/F4 fibrosis clinical cohort
Creators: 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
Publication Details: Journal of hepatology, Vol.77, p.S409
Identifiers: 991006030870902656
Academic Unit: Internal Medicine
Language: English
Resource Type: Journal article

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

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