The Digital Mammography DREAM Challenge.
June 29- Fall 2016 (Now OPEN!)
With generous support from the Laura and John Arnold Foundation this $1.2 million Challenge, one of two large prize Coding4Cancer Challenges, seeks to improve the accuracy of breast cancer detection and reduce the current rate of patient callbacks.
Disease Module Identification DREAM Challenge
June 24- September 30, 2016 (Now OPEN!)
The goal of this Challenge is to (1) systematically assess module identification methods on the latest molecular networks and (2) discover novel network modules/pathways underlying complex diseases.
DREAM Idea Challenge
June 15 — Late Fall 2016 (Now Open!)
The goal of the challenge is to solicit mathematical models that are ripe to make major discoveries given the data, based on solid analysis.
Respiratory Viral DREAM Challenge
May 15- Sept 2016 (Now OPEN!)
Participants in the Challenge will build predictors from time-series expression data that can distinguish people who become contagious after exposure to flu and other respiratory viruses as measured by quantity of pathogen in the upper respiratory tract.
The Cancer Moonshot is hosting a summit at Howard University, in Washington, D.C. In conjunction with the Summit, the Vice President is announcing a set of new public and private sector actions to drive progress toward ending cancer as we know it. Federal agencies have come together as part of the Cancer Moonshot Task Force and are announcing today additional investments, improved policies, and new private sector partnerships focused on catalyzing new scientific breakthroughs, unleashing the power of data, accelerating bringing new therapies to patients, strengthening prevention and diagnosis, and improving patient access and care. Among the initiatives announced today was the official launch of the first of the Coding4Cancer (C4C) Challenges: the Digital Mammography DREAM Challenge. (Read more.)
DREAM recently both partnered with the Boston Computational Biology and Bioinformatics network and joined the Systems Biology of Human Disease conference to announce winners and present the initial results from the AstraZeneca-Sanger Drug Combination Prediction Challenge. Jonathan Dry and Julio Saez-Rodriguez reported to an audience of over 80 computational biologists how this Challenge became the highest participated of any DREAM challenge to date, with participation from across the globe including individuals qualified in a wide range of disciplines. They highlighted the winning method from Yuanfang Guan (Department of Computational Medicine & Bioinformatics, University of Michigan), and revealed fascinating early insight to the patterns of data and method usage most influential in successful predictions. DREAM were also delighted to welcome Peter Sorger (Professor of Systems Pharmacology, Harvard Medical School) to describe his own take on crowdsourcing and drug combinations at the BCBB event.
A commentary in the most recent issue of the journal Nature discusses how DREAM Challenges and other open competitions bring new minds, skills and collaborations to problems in biomedical research. (Read More)