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Studying the immune microenvironment of liver cancer using artificial intelligence is written by Dake Zhang and published by Frontiers Media SA. It's available with International Standard Book Number or ISBN identification 283256822X (ISBN 10) and 9782832568224 (ISBN 13).
Liver cancer is ranked as the sixth most commonly diagnosed malignant primary tumor and the fourth main reason for cancer-related death in the world. Countless metastatic cascade steps are concealed in the microenvironment composed of the pivotal facets of the liver immune system. The immune microenvironment has a more crucial role than we thought it would. Current treatments may not only have difficulty achieving the desired therapeutic effect but also have obstacles with a higher recurrence rate. New thinking in hepatic carcinoma’s immune microenvironment is an urgent need. Digital intelligence has not only deepened the understanding of liver cancer but has also perpetually amended the treatment and diagnosis solutions. Artificial intelligence (AI) has deeply affected the treatment of liver tumors, not only in diagnosis and treatment but also in rehabilitation. It brings incipient vitality to liver surgery. More importantly, it takes more preponderant rejuvenating opportunities for patients and a better individualized treatment experience. Utilizing integrated multi-omics approaches, AI could help to improve the detection and characterization of liver cancer with explosively complex datasets containing genomic and molecular data from tissues to single cells. This integrated algorithm is expected to inform disease diagnosis and staging as well as predict cancer relapse and treatment response. Finding more immune-targeting strategies that may help more patients shortly, such as adoptive T-cell transfer, vaccination, virotherapy, and more reliable biomarkers, could guide clinical decision-making about liver cancer.