Artificial Intelligence in Oncology Drug Discovery and Development

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Title

Artificial Intelligence in Oncology Drug Discovery and Development

Subject

Artificial Intelligence

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.

Creator

Cassidy, John W. (editor)
Taylor, Belle (editor)

Source

https://directory.doabooks.org/handle/20.500.12854/29768

Publisher

IntechOpen

Date

2020

Contributor

dwi marina

Rights

https://creativecommons.org/licenses/by-nc/4.0/legalcode

Format

pdf

Language

english

Type

Textbooks

Identifier

DOI:https://doi.org/10.5772/intechopen.88376
ISBN:9781789858983

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