Joyce Kuo, a medical student at Case Western Reserve University, was selected as the Phase 1 winner of the National Institutes of Health (NIH)/National Center for Advancing Translational Sciences (NCATS) Oligonucleotide Toxicity (OligoTox) Open Data Challenge last month.
The Oligonucleotide Toxicity (OligoTox) Open Data Challenge is a two-phase prize competition that has the goal of creating publicly accessible, high-quality datasets from in vitro human-based systems that can lead to development of improved in silico models for predicting toxicity of an oligo based on its sequence, chemical modifications, etc.
The first phase focused on ideation by proposing data from in vitro human-based systems that can be collected and used in predicting the toxicity of a candidate oligo therapeutic.
Kuo’s winning material is titled “A Scalable Multi-Task Dataset for Deep Learning Prediction of Oligonucleotide Toxicity.”
