02278nam a22003737a 4500 e7b3ced1-1aa0-4c44-9f10-c6bdd14cdc2c KnowledgeUnlatched 20210303104746.0 m o d cr u|||||||||| 210129p20202020xx o u00| u eng d BiblioBoard Artificial Intelligence in Oncology Drug Discovery and Development John W. Cassidy, Belle Taylor. 9781789858983 https://doi.org/10.5772/intechopen.88376 https://library.biblioboard.com/ext/api/media/e7b3ced1-1aa0-4c44-9f10-c6bdd14cdc2c/assets/thumbnail.jpg ScCtBLL ScCtBLL Access copy available to the general public. Unrestricted star Cassidy, John W. editor. Taylor, Belle editor. IntechOpen, 1 online resource (1 p.) There exists a profound conflict at the heart of oncology drug development. The efficiency of the drug development process is falling, leading to higher costs per approved drug, at the same time personalised medicine is limiting the target market of each new medicine. Even as the global economic burden of cancer increases, the current paradigm in drug development is unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. We consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence. Description based on print version record. IntechOpen Engineering 2019 - 2021 Computers / Artificial Intelligence bisacsh Computers Electronic books. Is found in: Knowledge Unlatched https://openresearchlibrary.org/module/2774bc74-146a-484f-a7ba-ab1d6a09bbfb https://openresearchlibrary.org/content/e7b3ced1-1aa0-4c44-9f10-c6bdd14cdc2c View this content on Open Research Library. 0 32534 32534 0 0 lcc 0 0 DL DL OA 2021-03-03 0 2021-03-03 https://openresearchlibrary.org/content/e7b3ced1-1aa0-4c44-9f10-c6bdd14cdc2c 2021-03-03 EBOOK