Machine Learning Prediction of Liver Fibrosis in Patients with Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD)

Clinical Gastroenterology and Hepatology · Published 2026-07-01 · DOI 10.1016/j.cgh.2026.07.006

Free full text

Authors (47)

Salvatore Petta, Grazia Pennisi, Ciro Celsa, Sofiane Messaoudi, Emmanuel Tsochatzis, Elisabetta Bugianesi, Masato Yoneda, Ming-Hua Zheng, Hannes Hagström, Jérôme Boursier, José Luis Calleja, George Boon-Bee Goh, Wah-Kheong Chan, Rocio Gallego-Durán, Arun J. Sanyal, Victor de Lédinghen, Philip N. Newsome, Jian-Gao Fan, Laurent Castéra, Michelle Lai, Céline Fournier-Poizat, Grace Lai-Hung Wong, Angelo Armandi, Atsushi Nakajima, Wen-Yue Liu, Ying Shang, Marc de Saint-Loup, Elba Llop, Kevin Kim Jun Teh, Carmen Lara-Romero, Amon Asgharpour, Mandy Sau-Wai Chan, Manuel Romero-Gomez, Huapeng Lin, Seung Up Kim, Terry Cheuk-Fung Yip, Vincenza Calvaruso, Mirko Zoncapè, Jimmy Che-To Lai, Boyu Yang, Hye Won Lee, Gabriele Di Maria, Marco Enea, Salvatore Contino, Vincent Wai-Sun Wong, Giansalvo Cirrincione, Calogero Cammà

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year
2026

Citation

Petta, S., Pennisi, G., Celsa, C., et al. (2026). Machine Learning Prediction of Liver Fibrosis in Patients with Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD). Clinical Gastroenterology and Hepatology. https://doi.org/10.1016/j.cgh.2026.07.006

Related articles