Microbiome Preterm Birth DREAM Challenge: Crowdsourcing Machine Learning Approaches to Advance Preterm Birth Research medrxiv.org/cgi/content/sh… #medRxiv

Evaluation and optimization of sequence-based gene regulatory deep learning models biorxiv.org/cgi/content/sh… #bioRxiv

Microbiome-based risk prediction in incident heart failure: a community challenge medrxiv.org/cgi/content/sh… #medRxiv

Proud to share our new work about a novel super-resolution framework! ieeexplore.ieee.org/abstract/docum…

Online now: Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research dlvr.it/T0sfZ4

1/If you're training ML models on DNA sequences, u need to take a look at our new paper in Nature Biotechnology! It contains analysis done by over 300 researchers, tells the story of how we built state-of-the-art for short regulatory DNA and developed a framework to keep improving

Accelerating cough-based algorithms for pulmonary tuberculosis screening: Results from the CODA TB DREAM Challenge ✅ Just Accepted 🔗 bit.ly/4ngBWaI