中国临床药理学与治疗学2025，Vol.30Issue(2)：200-208,9.DOI:10.12092/j.issn.1009-2501.2025.02.006
机器学习算法在抗肿瘤药物响应预测中的应用研究
Research on the application of machine learning algorithms in anti-cancer drug response prediction
摘要
Abstract
With the continuous development of genomics and precision medicine,targeted therapy and immunotherapy targeting biomarkers have ush-ered in a new era of anti-tumor therapy.However,due to the heterogeneity of tumor cells and the variability of tumor microenvironment,there are still significant differences in response to the same drug even in patient populations with the same bio-marker enrichment.By combining omics data with drug sensitivity algorithms,the response of anti-tu-mor drugs can be predicted and transformed into personalized diagnosis and treatment strategies re-quired for precision medicine,which is expected to improve the effectiveness of anti-tumor drugs in clinical treatment.Currently,machine learning is one of the commonly used modeling algorithms for predicting the response of anti-tumor drugs.How-ever,due to differences in input data and algorithm construction methods,there is currently a lack of comprehensive literature review in this field.There-fore,this article provides a review of machine learning algorithms for predicting anti-tumor drug responses,summarizing publicly available cell ge-nome characterization datasets,machine learning algorithms,and evaluation indicators in drug re-sponse prediction,as well as the current situation and challenges faced in clinical applications,in or-der to provide methodological references for the main research problems and potential solutions of machine learning algorithms in the field of drug re-sponse prediction.关键词
机器学习/药物响应预测/监督学习/精准医疗/神经网络Key words
machine learning/drug response pre-diction/supervised learning/precision medicine/neural network分类
基础医学引用本文复制引用
谈妍辰,王文文,夏结来,李晨..机器学习算法在抗肿瘤药物响应预测中的应用研究[J].中国临床药理学与治疗学,2025,30(2):200-208,9.基金项目
国家自然科学基金面上项目(82273728 （）
82373680) （）
