EDITORIAL article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1679921
This article is part of the Research TopicStudying the immune microenvironment of liver cancer using artificial intelligenceView all 12 articles
Amazing helping hand: Artificial Intelligence in immunological management of liver disease
Provisionally accepted
- 1School of Engineering Medicine, Beihang University, Beijing, China
- 2Shanghai Medical College, Fudan University, Shanghai, China
- 3Tianjin WuTong High School, Tianjin, China
- 4Tianjin Medical University, Tianjin, China
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known for its rapid progression and poor prognosis. [1]. It has a severe impact on quality of life and continues to present a major global public health challenge.Liver cancer often renders chemotherapy and radiation ineffective, complicating treatment. The need for more effective treatment options has led to pioneering technologies being investigated, including artificial intelligence (Figure 1).Cancer precision medicine aims to ensure treatments work as well as possible for each patient, while also trying to reduce any nasty side effects. Significant progress in oncology has been made by artificial intelligence through high-dimensional datasets and computing/deep learning [2,3].Nevertheless, the use of artificial intelligence in medicine is still in its infancy [4]. Despite
Keywords: artificial intelligence - AI, Liver disease, Immunotherapy, Hepatocellular Carcinoma, Cancer immune microenvironment, Cancer precision medicine
Received: 05 Aug 2025; Accepted: 11 Aug 2025.
Copyright: © 2025 Zhang, Chen, Yang and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Bing Yang, Tianjin Medical University, Tianjin, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.