Artificial Intelligence and Precision Medicine: Outcome of Immunotherapy in Hepatocellular Carcinoma.

IF 0.8 4区医学 Q4 IMMUNOLOGY Critical Reviews in Immunology Pub Date : 2022-01-01 DOI:10.1615/CritRevImmunol.2022047261

Esube Theodros, Ganji Purnachndra Nagaraju

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Abstract

The large amount of data collection coupled with the time-consuming nature of traditional methods of data analysis hinder the advancement of disease diagnosis and treatment. Precision medicine and personalized patient care approaches have positively impacted treatment. The utilization of artificial intelligence (AI), which ranges from deep learning to machine learning, may assist in accomplishing the purpose set out by precision medicine. AI creates greater efficiency in terms of the analysis and organization of "big data," while also facilitating the improvement of ultrasound techniques such as enhancing image processing. We have selected hepatocellular carcinoma (HCC) as an example to illustrate the role of AI and precision medicine. The use of AI can play a prominent role in biomarker exploration as it aids in the recognition of HCC, helps to reconstruct electronic health records, and can determine the outcome of therapy such as immunotherapy for HCC. The evolving role of AI within precision medicine and other facets of the treatment of HCC are reviewed in this report.

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人工智能和精准医学:肝细胞癌免疫治疗的结果。

大量的数据收集加上传统的数据分析方法耗时，阻碍了疾病诊断和治疗的进步。精准医疗和个性化患者护理方法对治疗产生了积极影响。人工智能(AI)的应用，从深度学习到机器学习，可能有助于实现精准医疗所设定的目标。人工智能在分析和组织“大数据”方面提高了效率，同时也促进了超声技术的改进，如增强图像处理。我们选择肝细胞癌(HCC)作为例子来说明人工智能和精准医疗的作用。人工智能的使用可以在生物标志物探索中发挥突出作用，因为它有助于识别HCC，帮助重建电子健康记录，并可以确定HCC免疫治疗等治疗的结果。本报告回顾了人工智能在精准医学和HCC治疗的其他方面不断发展的作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Critical Reviews in Immunology 医学-免疫学

CiteScore

2.60

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Immunology covers a broad spectrum of investigations at the genes, molecular, cellular, organ and system levels to reveal defense mechanisms against pathogens as well as protection against tumors and autoimmune diseases. The great advances in immunology in recent years make this field one of the most dynamic and rapidly growing in medical sciences. Critical ReviewsTM in Immunology (CRI) seeks to present a balanced overview of contemporary adaptive and innate immune responses related to autoimmunity, tumor, microbe, transplantation, neuroimmunology, immune regulation and immunotherapy from basic to translational aspects in health and disease. The articles that appear in CRI are mostly obtained by invitations to active investigators. But the journal will also consider proposals from the scientific community. Interested investigators should send their inquiries to the editor before submitting a manuscript.