Open access peer-reviewed Edited Volume

Artificial Intelligence in Oncology Drug Discovery & Development

John Cassidy

Cambridge Cancer Genomics


Belle Taylor

Cambridge Cancer Genomics


Artificial Intelligence Machine Learning oncology Drug Discovery Drug Repurposing Drug Development Clinical Trial Design High Throughput Screens Rational Drug Design Protein Folding Preclinical Models Computational Drug Discovery Clinical Trial Effectiveness

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About the book

Despite remarkable advances in our understanding of the drivers of human malignancies, new targeted therapies often fail to perform sufficiently in clinical trials. Indeed, the cost of bringing a new agent to market has risen substantially in the last several decades, fuelled partly by lack of efficacy in late phase clinical trials.
New advances in computational modelling are beginning to show signs of reversing this trend. Artificial Intelligence (AI) allows complex and disparate datasets to be combined and analysed on an unprecedented scale, including in the modelling and simulation of drug targets and the clinical trials through which new drugs are tested, and approved for use, on patients.
As AI technologies become mainstream, we will begin a new chapter in our understanding of the complex causes and consequences of cancer development. It is hoped that this new era of research will lead to insights that can be translated into increased efficiencies in the drug discovery and development process.
In this book, we will look at the ways in which AI supports the design, development and analysis of oncology drugs, and look to a future of AI led therapeutic development and clinical trial design, with lower costs and increased success rates. 

Publishing process

Book initiated and editor appointed

Date completed: July 3rd 2019

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

Approved chapters written in full and submitted

Deadline for full chapters: December 20th 2019

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: February 11th 2020

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: April 9th 2020

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About the editor

John Cassidy

Cambridge Cancer Genomics

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As an Author Service Manager my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact.

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