Multi-targeting Drug DREAM Challenge
Open October 5, 2017 - February 26, 2018
This challenge seeks to diversify the methods used for rational design of drugs with multiple target proteins. Participants predict compounds active against two medically-relevant sets of targets, with predictions validated by commercial lab testing.
GA4GH/DREAM Workflow Execution Challenge
Open July - September 2017
The goal of this challenge is to evaluate systems and platforms for executing portable analysis workflows in the interest of developing common standards and best practices. Participants will run high quality genomics workflows in their system of choice to assess portability and reproducibility in a concrete way.
Parkinson’s Disease Digital Biomarker DREAM Challenge
Open July - October 2017
Using data collected through two Parkinson’s Disease mobile research studies, the goal of this challenge is to identify the best methods for processing mobile sensor data in order to distinguish gait and motor differences between Parkinson’s Disease patients and controls.
NCI-CPTAC DREAM Proteogenomics Challenge
Open June - October 2017
This challenge will use public and novel proteogenomic data generated by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) to benchmark an understanding of the interfaces between different layers of information in a population of cancer cells.
Multiple Myeloma DREAM Challenge
Open June - October 2017
The Multiple Myeloma DREAM Challenge provides an opportunity to combine integration of large scale molecular and clinical data and state of the art analytical approaches to facilitate risk stratification in over 25,000 patients in the US alone. Additionally, it provides the ability to benchmark novel methods with the greatest potential to yield patient care benefits in the future.
Sage Bionetworks in Collaboration with The Michael J. Fox Foundation Announce Winners in the DREAM Parkinson’s Disease Digital Biomarker Challenge. Sage Bionetworks announced today the results of the Parkinson’s Disease Digital Biomarker (PDDM) DREAM challenge, an open crowd-sourced research project designed to benchmark the use of remote sensors to diagnose and track Parkinson’s disease (PD). The winners of this Challenge developed methods that are 38% better than previous models at detecting Parkinson’s disease from a simple walk and balance test (read more)
Calling all DREAMers… The DREAM team is developing a video project about DREAM and our community, and needs your help. We need Selfies of you holding signs that say either “DREAM Challenges” or “DREAM” or “Wisdom of the Crowd” . Take a sheet of white unlined copier paper and write as big as you can with a marker (so it is legible). You can take one selfie with one message or three. Then we will include them in the video of our community of DREAMers adding to the Wisdom of the Crowd. (12/6/17 – Thanks for your help.. this is done.. Please see video on the DREAM home page or on Youtube – https://youtu.be/PrAA-DnTQ7w)
Recent advances in mobile health have demonstrated great potential to leverage sensor-based technologies for remote monitoring of health and disease – particularly for diseases affecting motor function such as Parkinson’s. While there are many projects that have successfully collected sensor data from people in the real-world setting, researchers still have a poor understanding of what the data can tell us about health. (Read more.)