A machine learning-based model to predict multi-time-point prognosis for acute-on-chronic hepatitis B liver failure

iScience 2026 Open access

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Authors: Jieyang Jin, Zhong Liu, Mei Liao, Ting Zhang, Jingming Liu, Yudi Luo, Kai Yang, Minhua Lu, Jie Zeng, Xin Chen, Jie Ren
DOI: 10.1016/j.isci.2026.115297
Cited by: 0
References: 35

Abstract

Our prognostic model and mobile application enable multi-time-point prognostic evaluation for patients with acute-on-chronic hepatitis B liver failure, thereby improving patient care and facilitating clinical decision-making for liver transplantation.

Fields of Study & Subjects

Liver Disease and Transplantation Hepatitis B Virus Studies Artificial Intelligence in Healthcare

Publication details

Journal / source
iScience
Volume
29
Issue
4
Pages
115297–115297
Publication date
10 March 2026
Language
EN