SEA-AD DREAM Challenge – Predicting Alzheimers Pathology from snRNA-seq Data
Register 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.
Register 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
Register 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
Register 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
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
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
Xcelerate RARE: A Rare Disease Open Science Data Challenge
Learn More Getting data to the best people The Xcelerate RARE: A Rare Disease Open Science Data Challenge is bringing together researchers and
COugh Diagnostic Algorithm for Tuberculosis (CODA TB) DREAM Challenge
Learn More Tuberculosis (TB), a communicable disease caused by Mycobacterium tuberculosis, is a major cause of ill health and one of
Heart Failure Prediction: Microbiome
Learn More Cardiovascular diseases are the leading cause of death both in men and women worldwide. Heart failure (HF) is the
BraTS Continuous Evaluation
Learn More Brain tumors are among the deadliest types of cancer. Specifically, glioblastoma, and diffuse astrocytic glioma with molecular features of
Preterm Birth Prediction – Microbiome
Learn More Goal To develop predictive models for risk of preterm birth in pregnant individuals based on vaginal microbiome data. There
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