Topic: Papers from Deep Learning for Cancer Drug Response Prediction Workshop

A special issue of Journal of Cancer Metastasis and Treatment

ISSN 2454-2857 (Online), ISSN 2394-4722 (Print)

Submission deadline: 31 Aug 2020

Guest Editor(s)

  • Prof. Rick Stevens
    Computing Environment and Life Sciences, Argonne National Laboratory, Argonne, IL, USA.

    Website | E-mail

Special Issue Introduction

This special issue of Journal of Cancer Metastasis and Treatment is dedicated to the proceedings of the Deep Learning for Cancer Drug Response Prediction Workshop to be held at the University of Chicago during April 7-8, 2020.
This invite-only workshop brings together a collection of researchers working on the common goal of building data-driven predictive models of drug response that can be used in a pre-clinical research and clinical settings. Predictive drug response models hold great promise to inform precision treatment strategies, guide the development of new therapies, and prioritize experiments. Predicting how a tumor will respond to a drug requires innovation in machine learning, protocols to assess the quality of models and data, access to curated experimental data to train, validation and improvement of our models, and an engaged community of interdisciplinary researchers.
This workshop will identify successes, prioritize current challenges, and frame opportunities of drug response prediction for cancer using state-of-the-art deep learning methods. While we are primarily focusing, in this meeting, on deep learning approaches, we and many others use a variety of methods; therefore, non-deep learning approaches will also be welcome. More information can be seen the official website (


Deep learning, cancer, drug response prediction, experimental design, artificial intelligence

Submission Deadline

31 Aug 2020

Submission Information

Articles of special issue are free of charge for article processing.
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Submission Deadline: 31 Aug 2020
Contacts: Olivia Zhao, Assistant Editor,

Published Articles

This special issue is now open for submission.