Explore
Artificial Intelligence in Oncology Drug Discovery and Development
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 52 times via unglue.it ebook links.
- 52 - pdf (CC BY-NC) at mts.intechopen.com.
Keywords
- Medical bioinformatics
- Medical ethics & professional conduct
- Medical profession
- medicine
- Medicine: General Issues
Editions