Dublin Core
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)
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
ISBN:9781789858983