Cassidy, John W. editor. Taylor, Belle editor. text Electronic books. xx 2020 monographic eng 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. John W. Cassidy, Belle Taylor. Access copy available to the general public. Unrestricted star Computers / Artificial Intelligence Computers 9781789858983 https://openresearchlibrary.org/content/e7b3ced1-1aa0-4c44-9f10-c6bdd14cdc2c https://openresearchlibrary.org/content/e7b3ced1-1aa0-4c44-9f10-c6bdd14cdc2c Access copy available to the general public. ScCtBLL 210129 20210303104746.0 e7b3ced1-1aa0-4c44-9f10-c6bdd14cdc2c