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 (https://www.surveymonkey.com/r/DLforCancerDrugResponsePrediction