CT-DEB’26 Shared Task: Predicting Medication Dosing Errors
Participate in the CT-DEB’26 Shared Task to predict medication dosing errors in clinical trials using machine learning, with a deadline of January 10, 2026, for Phase 1 submissions.
A new shared task, CT-DEB’26, is announced in conjunction with the CL4Health’26 Workshop at LREC 2026. The task involves predicting medication dosing errors in clinical trials using machine learning.
The challenge is hosted on CodaBench and utilizes the ct-dosing-errors-benchmark dataset, available on the HuggingFace hub.
- Primary metric: ROC-AUC
- Submission via CodaBench with required code repositories
- Blind leaderboards during active phases
Key dates include:
- December 1, 2025: Training + validation features release
- January 10, 2026: Phase 1 submission deadline
- February 18, 2026: Paper submission deadline for CL4Health’26 workshop
Tags: CT-DEB’26, CL4Health’26, LREC 2026, Machine Learning, Clinical Trials, Medication Dosing Errors
