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48P AI-driven immune biomarker classifier predicts clinical benefit from neoadjuvant immunotherapy in triple-negative breast cancer 48P人工智能驱动的免疫生物标志物分类器预测三阴性乳腺癌新辅助免疫治疗的临床获益
ESMO Real World Data and Digital Oncology Pub Date : 2025-11-01 Epub Date: 2025-11-28 DOI: 10.1016/j.esmorw.2025.100247
D. Kvaratskhelia , N. Otkhozoria , E. Makharashvili , T. Melkadze
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引用次数: 0
24P Transcriptomic and regulatory signatures of metastatic progression in breast cancer: An integrative RNA-seq study 乳腺癌转移进展的24P转录组学和调控特征：一项综合RNA-seq研究
ESMO Real World Data and Digital Oncology Pub Date : 2025-11-01 Epub Date: 2025-11-28 DOI: 10.1016/j.esmorw.2025.100223
M. Pereira , S. Torres , L.B. Quintas , E. Barreira , M. Martins , I.I.L. Leao , S. Casimiro , M. Pavanello , P. Corredeira , L.A. Marques Da Costa , J. Guimarães
{"title":"24P Transcriptomic and regulatory signatures of metastatic progression in breast cancer: An integrative RNA-seq study","authors":"M. Pereira , S. Torres , L.B. Quintas , E. Barreira , M. Martins , I.I.L. Leao , S. Casimiro , M. Pavanello , P. Corredeira , L.A. Marques Da Costa , J. Guimarães","doi":"10.1016/j.esmorw.2025.100223","DOIUrl":"10.1016/j.esmorw.2025.100223","url":null,"abstract":"","PeriodicalId":100491,"journal":{"name":"ESMO Real World Data and Digital Oncology","volume":"10 ","pages":"Article 100223"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145610159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
99P Radiologists perception on AI/ML software as a medical device (SaMD) unveiled via post-study usability survey: Key assets to redefine lung cancer screening practice 通过研究后可用性调查，放射科医生对AI/ML软件作为医疗设备（SaMD）的看法：重新定义肺癌筛查实践的关键资产
ESMO Real World Data and Digital Oncology Pub Date : 2025-11-01 Epub Date: 2025-11-28 DOI: 10.1016/j.esmorw.2025.100297
F. Grossi , L.M. Seijo Maceiras , R. Osarogiagbon , C. Gotera , E. Ostrin , A. Vachani , S. HADDAG , S. Baraghini , L. Boy Machefer , C.M. Voyton , V. Bourdes
{"title":"99P Radiologists perception on AI/ML software as a medical device (SaMD) unveiled via post-study usability survey: Key assets to redefine lung cancer screening practice","authors":"F. Grossi , L.M. Seijo Maceiras , R. Osarogiagbon , C. Gotera , E. Ostrin , A. Vachani , S. HADDAG , S. Baraghini , L. Boy Machefer , C.M. Voyton , V. Bourdes","doi":"10.1016/j.esmorw.2025.100297","DOIUrl":"10.1016/j.esmorw.2025.100297","url":null,"abstract":"","PeriodicalId":100491,"journal":{"name":"ESMO Real World Data and Digital Oncology","volume":"10 ","pages":"Article 100297"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145610272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
85P Introducing ambient voice technology to enhance clinical documentation efficacy and patient focused communications: Pre-implementation time and motion study in the haemato-oncology outpatient setting 85P引入环境语音技术以提高临床记录效率和以患者为中心的交流：在血液肿瘤门诊环境中实施前的时间和运动研究
ESMO Real World Data and Digital Oncology Pub Date : 2025-11-01 Epub Date: 2025-11-28 DOI: 10.1016/j.esmorw.2025.100283
D. Brian , X. Zheng , V. Teng , W.K. Wong , J. Rudd , W. Gelson , V. Frechter , T. Severinsson , J. Scott , S. Heyse , C. Morris , A. Igra , A. Ercole , P. Kirkpatrick
{"title":"85P Introducing ambient voice technology to enhance clinical documentation efficacy and patient focused communications: Pre-implementation time and motion study in the haemato-oncology outpatient setting","authors":"D. Brian , X. Zheng , V. Teng , W.K. Wong , J. Rudd , W. Gelson , V. Frechter , T. Severinsson , J. Scott , S. Heyse , C. Morris , A. Igra , A. Ercole , P. Kirkpatrick","doi":"10.1016/j.esmorw.2025.100283","DOIUrl":"10.1016/j.esmorw.2025.100283","url":null,"abstract":"","PeriodicalId":100491,"journal":{"name":"ESMO Real World Data and Digital Oncology","volume":"10 ","pages":"Article 100283"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145610213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
62eP A large molecular model (LMM)-based predictor of clinical response to the WEE1 inhibitor Debio 0123 + carboplatin therapy 一个基于大分子模型（LMM）的预测WEE1抑制剂Debio 0123 +卡铂治疗临床反应的指标
ESMO Real World Data and Digital Oncology Pub Date : 2025-11-01 Epub Date: 2025-11-28 DOI: 10.1016/j.esmorw.2025.100261
J. Fuchs , L. Piggott , C. Mas , K. Urh , M. Levstek , M. Zganek , E. Lavrencic , M. Uhlik , A. Pokorska-Bocci
{"title":"62eP A large molecular model (LMM)-based predictor of clinical response to the WEE1 inhibitor Debio 0123 + carboplatin therapy","authors":"J. Fuchs , L. Piggott , C. Mas , K. Urh , M. Levstek , M. Zganek , E. Lavrencic , M. Uhlik , A. Pokorska-Bocci","doi":"10.1016/j.esmorw.2025.100261","DOIUrl":"10.1016/j.esmorw.2025.100261","url":null,"abstract":"","PeriodicalId":100491,"journal":{"name":"ESMO Real World Data and Digital Oncology","volume":"10 ","pages":"Article 100261"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145610193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
42P Controllable synthetic data generation for computational pathology via multimodal diffusion conditioning 基于多模态扩散条件的计算病理学可控合成数据生成
ESMO Real World Data and Digital Oncology Pub Date : 2025-11-01 Epub Date: 2025-11-28 DOI: 10.1016/j.esmorw.2025.100241
D. Winter, M.A. Gavaldon, M. Bui, N. Triltsch, N. Brieu
{"title":"42P Controllable synthetic data generation for computational pathology via multimodal diffusion conditioning","authors":"D. Winter, M.A. Gavaldon, M. Bui, N. Triltsch, N. Brieu","doi":"10.1016/j.esmorw.2025.100241","DOIUrl":"10.1016/j.esmorw.2025.100241","url":null,"abstract":"","PeriodicalId":100491,"journal":{"name":"ESMO Real World Data and Digital Oncology","volume":"10 ","pages":"Article 100241"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145610173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
17eP Developing biomarker-integrated cancer risk prediction models using case-cohort designs 使用病例队列设计开发生物标志物集成的癌症风险预测模型
ESMO Real World Data and Digital Oncology Pub Date : 2025-11-01 Epub Date: 2025-11-28 DOI: 10.1016/j.esmorw.2025.100216
Y. Li , C. Kartsonaki , R. Keogh
{"title":"17eP Developing biomarker-integrated cancer risk prediction models using case-cohort designs","authors":"Y. Li , C. Kartsonaki , R. Keogh","doi":"10.1016/j.esmorw.2025.100216","DOIUrl":"10.1016/j.esmorw.2025.100216","url":null,"abstract":"","PeriodicalId":100491,"journal":{"name":"ESMO Real World Data and Digital Oncology","volume":"10 ","pages":"Article 100216"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145610154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
69eP Corrected grouped-lasso-based generative AI for the unsupervised extension of segmentation models to the analysis of translucent chromogenic IHC images 69eP校正的基于分组套索的生成式AI，用于将分割模型无监督地扩展到半透明显色IHC图像的分析
ESMO Real World Data and Digital Oncology Pub Date : 2025-11-01 Epub Date: 2025-11-28 DOI: 10.1016/j.esmorw.2025.100268
N. Brieu , P. Plewa , S. Ceolin , M.A. Gavaldon , M. Rosati , D. Winter , N. Triltsch , M. Clements , G. Schmidt , H. Sade
{"title":"69eP Corrected grouped-lasso-based generative AI for the unsupervised extension of segmentation models to the analysis of translucent chromogenic IHC images","authors":"N. Brieu , P. Plewa , S. Ceolin , M.A. Gavaldon , M. Rosati , D. Winter , N. Triltsch , M. Clements , G. Schmidt , H. Sade","doi":"10.1016/j.esmorw.2025.100268","DOIUrl":"10.1016/j.esmorw.2025.100268","url":null,"abstract":"","PeriodicalId":100491,"journal":{"name":"ESMO Real World Data and Digital Oncology","volume":"10 ","pages":"Article 100268"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145610198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
108P Time-to-event (TTE) machine learning models (ML-m) for survival prediction in patients with advanced non-small cell lung cancer (aNSCLC) receiving first-line (chemo-)immunotherapy 108P时间-事件（TTE）机器学习模型（ML-m）用于接受一线（化疗）免疫治疗的晚期非小细胞肺癌（aNSCLC）患者的生存预测
ESMO Real World Data and Digital Oncology Pub Date : 2025-11-01 Epub Date: 2025-11-28 DOI: 10.1016/j.esmorw.2025.100305
F.R. Ogliari , D. Tiano , P. Scuri , A. Traverso , S. Barbieri , M. Ferrara , D. Celada , J. Huijs , L. Papotto , M. Steens , M. Youssef-El-Soud , A. Bulotta , R. Ferrara , G. Cielo , G. Piccinni , D. Vignale , A. Esposito , L. Hendriks , M. Reni , C. Tacchetti
{"title":"108P Time-to-event (TTE) machine learning models (ML-m) for survival prediction in patients with advanced non-small cell lung cancer (aNSCLC) receiving first-line (chemo-)immunotherapy","authors":"F.R. Ogliari , D. Tiano , P. Scuri , A. Traverso , S. Barbieri , M. Ferrara , D. Celada , J. Huijs , L. Papotto , M. Steens , M. Youssef-El-Soud , A. Bulotta , R. Ferrara , G. Cielo , G. Piccinni , D. Vignale , A. Esposito , L. Hendriks , M. Reni , C. Tacchetti","doi":"10.1016/j.esmorw.2025.100305","DOIUrl":"10.1016/j.esmorw.2025.100305","url":null,"abstract":"","PeriodicalId":100491,"journal":{"name":"ESMO Real World Data and Digital Oncology","volume":"10 ","pages":"Article 100305"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145610259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
3P Improved risk stratification of patient outcomes using AI-driven multimodal characterization of histologic subtypes in lung adenocarcinoma 利用人工智能驱动的肺腺癌组织学亚型多模式特征，改善了患者结局的风险分层
ESMO Real World Data and Digital Oncology Pub Date : 2025-11-01 Epub Date: 2025-11-28 DOI: 10.1016/j.esmorw.2025.100202
F. Sanchez-Vega , A. Aukerman , B. Mastrogiacomo , G. Asimomitis , C. Fick , L. Dunne , S. Tsui , N. Zhou , A. Pasha , R. Lim , W.T. Pollard , A. Kohli , D. Moore , A. Begum , K. Boehm , S. Shah , N. Schultz , D.R. Jones
{"title":"3P Improved risk stratification of patient outcomes using AI-driven multimodal characterization of histologic subtypes in lung adenocarcinoma","authors":"F. Sanchez-Vega , A. Aukerman , B. Mastrogiacomo , G. Asimomitis , C. Fick , L. Dunne , S. Tsui , N. Zhou , A. Pasha , R. Lim , W.T. Pollard , A. Kohli , D. Moore , A. Begum , K. Boehm , S. Shah , N. Schultz , D.R. Jones","doi":"10.1016/j.esmorw.2025.100202","DOIUrl":"10.1016/j.esmorw.2025.100202","url":null,"abstract":"","PeriodicalId":100491,"journal":{"name":"ESMO Real World Data and Digital Oncology","volume":"10 ","pages":"Article 100202"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145610271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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