Hyojin Kim, Eun Sun Kim, Song Kook Lee, Jeong Hoon Lee, K. Paeng, C. Ock, D. Suh, Kidong Kim, J. No, Yong‐Beom Kim
{"title":"摘要:人工智能驱动的组织分析揭示了不同的肿瘤浸润淋巴细胞谱作为子宫内膜癌分子亚型的潜在生物标志物","authors":"Hyojin Kim, Eun Sun Kim, Song Kook Lee, Jeong Hoon Lee, K. Paeng, C. Ock, D. Suh, Kidong Kim, J. No, Yong‐Beom Kim","doi":"10.1158/1538-7445.AM2021-617","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":10518,"journal":{"name":"Clinical Research (Excluding Clinical Trials)","volume":"64 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Abstract 617: Artificial intelligence-powered tissue analysis reveals distinct tumor-infiltrating lymphocyte profile as a potential biomarker of molecular subtypes in endometrial cancer\",\"authors\":\"Hyojin Kim, Eun Sun Kim, Song Kook Lee, Jeong Hoon Lee, K. Paeng, C. Ock, D. Suh, Kidong Kim, J. No, Yong‐Beom Kim\",\"doi\":\"10.1158/1538-7445.AM2021-617\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":10518,\"journal\":{\"name\":\"Clinical Research (Excluding Clinical Trials)\",\"volume\":\"64 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Research (Excluding Clinical Trials)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1158/1538-7445.AM2021-617\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Research (Excluding Clinical Trials)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1158/1538-7445.AM2021-617","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstract 617: Artificial intelligence-powered tissue analysis reveals distinct tumor-infiltrating lymphocyte profile as a potential biomarker of molecular subtypes in endometrial cancer