Article
AI-based phenotyping of hepatic fiber morphology to inform molecular alterations in metabolic dysfunction-associated steatotic liver disease.
Hepatology (Baltimore, Md.) - 1 Mar 2026
Fujiwara Naoto, Matsushita Yuki, Tempaku Mina, Tachi Yutaro, Kimura Genki, Izuoka Kiyora, Hayata Yuki, Kawamura Satoshi, Eguchi Akiko, Nakatsuka Takuma, Sato Masaya, Ono Atsushi, Murakami Eisuke, Tsuge Masataka, Oka Shiro, Hayashi Akinobu, Hirokawa Yoshifumi, Watanabe Masatoshi, Parikh Neehar D, Singal Amit G, Marrero Jorge A, Hoshida Yujin, Mizuno Shugo, Tateishi Ryosuke, Koike Kazuhiko, Fujishiro Mitsuhiro, Nakagawa Hayato
Abstract excerpt
BACKGROUND AND AIMS: Hepatic fiber morphology may significantly enhance our understanding of molecular alterations in metabolic dysfunction-associated steatotic liver disease (MASLD). We aimed to comprehensively characterize hepatic fiber morphological phenotypes in MASLD and their associated molecular alterations using multilayer omics analyses. APPROACH AND RESULTS: To quantify the morphological phenotypes of...
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