917P OPTIMA: Improve care for patients with prostate, breast, and lung cancer through artificial intelligence

作     者：J. N’Dow E.J. Smith K. Polychronopoulos A. Cannon M. Roobol S. Auweter M. Thomas A. Kremer B. De Meulder D. Dellamonica D.P. Alhambra A. Asiimwe M. Bussmann X. Ji P. Torremante S. Keller F. Kube H. Krueger 

作者机构：Academic Urology Unit University of Aberdeen Aberdeen UK Guideline Office EAU - European Association of Urology Arnhem Netherlands Department of Innovation and Digitalisation in Law University of Vienna Vienna Austria Genentech Inc. Hillsboro OR USA Erasmus MC Cancer Institute Erasmus University Medical Center Rotterdam Netherlands Scientific Project Management Smart Reporting GmbH Munich Germany Global Medical Affairs F. Hoffmann-La Roche AG Basel Switzerland R&D Information Technology for Translational Medicine Luxembourg EISBM Association EISBM Vourles France Europe and Canada Oncology AstraZeneca AG Zug Switzerland CSM-NDORMS University of Oxford Oxford UK Open Innovation Private Public Partnerships Bayer AG Leverkusen Germany Center for Advanced Systems Understanding Helmholtz-Zentrum Dresden-Rossendorf Dresden Germany Data Science and Advance Analytics CoE Pfizer Digital Pfizer Inc. Collegeville PA USA ARTTIC Innovation GmbH ARTTIC Innovation GmbH Munich Germany Oncology Pfizer Pharma GmbH Berlin Germany Medical Affairs Oncology Pfizer Pharma GmbH Karlsruhe Germany Medical Affairs Oncology Pfizer Pharma GmbH Berlin Germany 

出 版 物：《Annals of Oncology》 

年 卷 期：2022年第33卷

页      面：S966-S966页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]