{"title":"Issue Information","authors":"","doi":"10.1002/msp2.37","DOIUrl":null,"url":null,"abstract":"<p><b>COVER</b>: By retrospectively evaluating 140 individuals with small cell lung cancer (SCLC) who received immunotherapy using neural networks, Li <i>et al</i>. developed an immune efficacy prediction model based on routine clinical data and deep learning neural networks to accurately predict the immunological efficacy in patients with SCLC, particularly in terms of the objective response rate (ORR). See pages 162–174 for details.</p>","PeriodicalId":100882,"journal":{"name":"Malignancy Spectrum","volume":"1 3","pages":"i-vi"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msp2.37","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Malignancy Spectrum","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/msp2.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
COVER: By retrospectively evaluating 140 individuals with small cell lung cancer (SCLC) who received immunotherapy using neural networks, Li et al. developed an immune efficacy prediction model based on routine clinical data and deep learning neural networks to accurately predict the immunological efficacy in patients with SCLC, particularly in terms of the objective response rate (ORR). See pages 162–174 for details.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
