The EHR DREAM Challenge
May 6, 2019 (Pre-registration open)
The goals of the EHR DREAM Challenge are to prospectively predict patient health outcomes in order to 1) lower the barriers to piloting innovative machine learning and data science methods in healthcare, 2) establish clinically relevant prediction benchmarks and evaluation metrics, and 3) minimize the distance between model developers and the clinic to reduce the time for model implementation.
Preterm Birth Prediction: Transciptomics DREAM Challenge
Launch: May 4, 2019 (Register now)
Submission Opens: June 3, 2019
Submission Closes: August 15, 2019
Winners Announced: September 13, 2019
Using whole blood gene expression data collected from pregnant women, participants will develop models to predict gestational age at blood draw and risk of preterm birth.
Malaria DREAM Challenge
Launch: April 30, 2019 (Challenge open now!)
Final Submissions: August 1, 2019
Winners Announced: September 1, 2019
The Malaria DREAM Challenge focuses on the infectious disease agent, malaria, with the goal of predicting the changing biology of Art-resistant malaria. The Challenge is open to anyone interested in contributing to the development of computational models that address important problems in advancing the fight against malaria.
Tumor Deconvolution DREAM Challenge
IDG-DREAM Drug-Kinase Binding Prediction Challenge
Round 2 Spring 2019 (Now Open!)
Round 1b of the IDG-DREAM Drug-Kinase Binding Prediction Challenge just ended and Round 2 will be opening to submissions on March 28th, 2019. In the upcoming round, participants are being asked to predict the binding affinity of a brand new set of drug-like molecules and kinases.
If you have an idea for a DREAM challenge, please contact us here.