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Artificial Intelligence in Oncology Drug Discovery and Development

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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.

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Detail Information

Series Title

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Call Number

Medical ethics and professional conduct

Publisher

https://www.intechopen.com/ : InTechOpen., 2020

Collation

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Language

English

ISBN/ISSN

9781789858976

Classification

Medical ethics and professional conduct

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Medical ethics
professional conduct

Specific Detail Info

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Statement of Responsibility

Cassidy, John W.

Other Information

Cataloger

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Source

https://directory.doabooks.org/handle/20.500.12854/67655

Validator

Suwardi

Digital Object Identifier (DOI)

10.5772/intechopen.88376

Journal Volume

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Journal Issue

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Subtitle

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