The National Center for Advancing Translational Sciences (NCATS) announced the OligoTox Open Data Challenge, a two‑phase NIH prize competition offering up to $500,000 to generate high‑quality open datasets for predicting oligonucleotide therapeutic toxicity. Phase 1 solicits ideation around in vitro human‑based systems; Phase 2 funds dataset generation and public data release. The challenge aims to accelerate development of in silico predictive models linking oligo sequence and chemical modifications to toxicity profiles, a recognized bottleneck in antisense and siRNA drug development. Entrants must be U.S. citizens, permanent residents or U.S.-based entities; timelines span through late 2026 for dataset submission.