Crowd-Sourcing and Open Science
The DREAM Directors published a post on the FEBS Network headlined "Can crowd-sourcing help advance open science?" The article outlines some benefits and caveats of open science approaches in crowd-sourced challenges. Excerpt: Crowd-sourced Challenge initiatives in biomedical research provide a mechanism for transparent and rigorous performance assessment. The core
Winners of the $25,000 BEAT-PD DREAM Challenge Announced
NEW YORK (June 17, 2020) – The Michael J. Fox Foundation for Parkinson’s Research (MJFF) and Sage Bionetworks announce the winners of the BEAT-PD DREAM Challenge. BEAT-PD (Biomarker and Endpoint Assessment to Track Parkinson’s Disease) is a data challenge designed to benchmark new methods to predict Parkinson’s disease severity
Combining Artificial Intelligence with Assessments from Radiologists Could Help Improve Accuracy of Mammography Screenings
SEATTLE, March 2, 2020 – In a study published today in the journal JAMA Network Open, researchers demonstrated that machine-learning algorithms could help improve the accuracy of breast cancer screenings when used in combination with assessments from radiologists. The study was based on results from the Digital Mammography (DM)
DREAM Challenges Announces Changes in its Leadership that Support a Rich Future in Open Benchmarking
SEATTLE – DREAM Challenges has announced changes to its governance and leadership to reflect its vision for future growth. DREAM is a volunteer organization of more than 30,000 solvers focused on crowd-sourced challenges to benchmark informatic algorithms in biomedicine. The peer-based governance process has been formalized by charter and will
Idea Competition Winner Announced for the CTSA Program
The CD2H Idea Competition for the CTSA Program is pleased to announce the winner of the Idea Challenge Competition: University of Alabama, Birmingham “Automated Scoring of Radiographic Damage in Rheumatoid Arthritis” (PI S. Louis Bridges). This will be developed into an upcoming DREAM Challenge. Congratulations to the semi-finalists: Predicting
PrecisionFDA and NCI CPTAC Announce the Best Performers in Multi-omics Sample Mislabeling Big Data Challenge
PrecisionFDA and the National Cancer Institute’s (NCI) Clinical Proteomic Tumor Analysis Consortium (CPTAC) (in coordination with DREAM Challenges) are pleased to announce the Best Performers in the first-ever Crowdsourced Multi-omics Sample Mislabeling Big Data Challenge. This unique challenge utilized proteogenomic datasets generated by CPTAC and clinical annotation information. A