{"title":"通过基于人工智能的中西医结合推进癌症预防。","authors":"Peng Zhang, Qian Zhang, Shao Li","doi":"10.1158/2159-8290.CD-24-0832","DOIUrl":null,"url":null,"abstract":"<p><p>Traditional Chinese medicine has accumulated a wealth of experiences in individualized cancer prevention and serves as a complement to Western medicine. We propose an artificial intelligence-based integration of traditional and Western medicine as a new paradigm for cancer prevention, encompassing cancer risk screening and preventive intervention, which will provide new solutions for cancer prevention and offer fresh perspectives for traditional medicine research worldwide.</p>","PeriodicalId":9430,"journal":{"name":"Cancer discovery","volume":"14 11","pages":"2033-2036"},"PeriodicalIF":29.7000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancing Cancer Prevention through an AI-Based Integration of Traditional and Western Medicine.\",\"authors\":\"Peng Zhang, Qian Zhang, Shao Li\",\"doi\":\"10.1158/2159-8290.CD-24-0832\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Traditional Chinese medicine has accumulated a wealth of experiences in individualized cancer prevention and serves as a complement to Western medicine. We propose an artificial intelligence-based integration of traditional and Western medicine as a new paradigm for cancer prevention, encompassing cancer risk screening and preventive intervention, which will provide new solutions for cancer prevention and offer fresh perspectives for traditional medicine research worldwide.</p>\",\"PeriodicalId\":9430,\"journal\":{\"name\":\"Cancer discovery\",\"volume\":\"14 11\",\"pages\":\"2033-2036\"},\"PeriodicalIF\":29.7000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer discovery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1158/2159-8290.CD-24-0832\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer discovery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/2159-8290.CD-24-0832","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Advancing Cancer Prevention through an AI-Based Integration of Traditional and Western Medicine.
Traditional Chinese medicine has accumulated a wealth of experiences in individualized cancer prevention and serves as a complement to Western medicine. We propose an artificial intelligence-based integration of traditional and Western medicine as a new paradigm for cancer prevention, encompassing cancer risk screening and preventive intervention, which will provide new solutions for cancer prevention and offer fresh perspectives for traditional medicine research worldwide.
期刊介绍：
Cancer Discovery publishes high-impact, peer-reviewed articles detailing significant advances in both research and clinical trials. Serving as a premier cancer information resource, the journal also features Review Articles, Perspectives, Commentaries, News stories, and Research Watch summaries to keep readers abreast of the latest findings in the field. Covering a wide range of topics, from laboratory research to clinical trials and epidemiologic studies, Cancer Discovery spans the entire spectrum of cancer research and medicine.
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