The Digital Pen Feature Extraction Challenge
Pre-Register Digital Pen cognitive assessments go beyond traditional scoring by capturing how answers are produced: timing, pressure, stroke patterns, and pauses. These
DREAM-Q: Target 2035 Quantum Challenge
Register DREAM-Q: Target 2035 Quantum Challenge will evaluate quantum computing approaches in a real-data biomedical discovery setting. Participants develop quantum or hybrid quantum-classical
DREAM x CACHE Target 2035 Drug Discovery Challenge
Register This second Target 2035 DEL-ML Challenge invites the community to build models that discover hits (bioactive drug-like molecules) for the kinase
SEA-AD DREAM Challenge – Predicting Alzheimers Pathology from snRNA-seq Data
Learn More Alzheimer’s disease impacts millions, causing devastating cognitive decline. While single-cell research offers incredible insights into the brain, directly linking these insights
The COVID Causal Diagram DREAM Challenge.
Learn more Launching on May 15 in collaboration with cStructure and BeeKeeperAI, this challenge introduces a groundbreaking methodological approach that combines foundation
Olfactory Mixture Prediction Challenge 2025
Learn More Recent advances in predictive models and the availability of perceptual data have enabled the prediction of odor perceptions from molecular
Target 35 Drug Discovery Challenge
Learn More In this inaugural DREAM Target 2035 Challenge, we are inviting the community of data scientists to build Machine learning models based on
Placental Clock Challenge
Learn More Since 2011, three generations of epigenetic clocks have been developed to estimate biological age[1-3]. The first-generation of models were generated
Personal Environment and Genes Study (PEGS) Challenge
Calling all champions of discovery and health enthusiasts! Join us in a thrilling challenge to unravel the complexities of hypercholesterolemia. Your participation
Olfactory Mixtures Prediction Challenge
Recent advances in predictive methods and availability of perceptual data have paved the way for a growing interest in olfactory perception predictions