{"title":"扩大数据规模，建立泛癌症基础模型","authors":"Nadieh Khalili, Francesco Ciompi","doi":"10.1016/j.trecan.2024.08.008","DOIUrl":null,"url":null,"abstract":"<p>Recent advances in artificial intelligence (AI) have revolutionized computational pathology (CPath), particularly through deep learning (DL) and neural networks (NNs). In a recent study, <span><span>Vorontsov <em>et al.</em></span><svg aria-label=\"Opens in new window\" focusable=\"false\" height=\"20\" viewbox=\"0 0 8 8\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\"></path></svg></span> introduced Virchow, a new foundation model (FM) for CPath, which has shown promising results in cancer detection and biomarker prediction.</p>","PeriodicalId":23336,"journal":{"name":"Trends in cancer","volume":"6 1","pages":""},"PeriodicalIF":14.3000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Scaling data toward pan-cancer foundation models\",\"authors\":\"Nadieh Khalili, Francesco Ciompi\",\"doi\":\"10.1016/j.trecan.2024.08.008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Recent advances in artificial intelligence (AI) have revolutionized computational pathology (CPath), particularly through deep learning (DL) and neural networks (NNs). In a recent study, <span><span>Vorontsov <em>et al.</em></span><svg aria-label=\\\"Opens in new window\\\" focusable=\\\"false\\\" height=\\\"20\\\" viewbox=\\\"0 0 8 8\\\"><path d=\\\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\\\"></path></svg></span> introduced Virchow, a new foundation model (FM) for CPath, which has shown promising results in cancer detection and biomarker prediction.</p>\",\"PeriodicalId\":23336,\"journal\":{\"name\":\"Trends in cancer\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":14.3000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trends in cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.trecan.2024.08.008\",\"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":"Trends in cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.trecan.2024.08.008","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Recent advances in artificial intelligence (AI) have revolutionized computational pathology (CPath), particularly through deep learning (DL) and neural networks (NNs). In a recent study, Vorontsov et al. introduced Virchow, a new foundation model (FM) for CPath, which has shown promising results in cancer detection and biomarker prediction.
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Trends in Cancer, a part of the Trends review journals, delivers concise and engaging expert commentary on key research topics and cutting-edge advances in cancer discovery and medicine.
Trends in Cancer serves as a unique platform for multidisciplinary information, fostering discussion and education for scientists, clinicians, policy makers, and patients & advocates.Covering various aspects, it presents opportunities, challenges, and impacts of basic, translational, and clinical findings, industry R&D, technology, innovation, ethics, and cancer policy and funding in an authoritative yet reader-friendly format.
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