Artificial Intelligence in Oncology Drug Discovery and Development
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 bur...
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| 格式: | Online |
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| 语言: | 英语 |
| 出版: |
IntechOpen
2021
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| 在线阅读: | ONIX_20210420_9781789858976_3015 |
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| _version_ | 1869520648299085824 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-67655 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-676552024-03-31T13:08:41Z Artificial Intelligence in Oncology Drug Discovery and Development Cassidy, John W. Taylor, Belle Medical bioinformatics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics and professional conduct 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. 2021-04-20T16:21:22Z 2021-04-20T16:21:22Z 2020 book ONIX_20210420_9781789858976_3015 9781789858976 9781789846898 9781789858983 https://directory.doabooks.org/handle/20.500.12854/67655 eng image/jpeg Attribution-NonCommercial 4.0 International https://www.intechopen.com/books https://mts.intechopen.com/storage/books/10107/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.88376 10.5772/intechopen.88376 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781789858976 9781789846898 9781789858983 IntechOpen 192 open access |
| spellingShingle | Medical bioinformatics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics and professional conduct Artificial Intelligence in Oncology Drug Discovery and Development |
| title | Artificial Intelligence in Oncology Drug Discovery and Development |
| title_full | Artificial Intelligence in Oncology Drug Discovery and Development |
| title_fullStr | Artificial Intelligence in Oncology Drug Discovery and Development |
| title_full_unstemmed | Artificial Intelligence in Oncology Drug Discovery and Development |
| title_short | Artificial Intelligence in Oncology Drug Discovery and Development |
| title_sort | artificial intelligence in oncology drug discovery and development |
| topic | Medical bioinformatics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics and professional conduct |
| topic_facet | Medical bioinformatics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics and professional conduct |
| url | ONIX_20210420_9781789858976_3015 |