PhysioNet Challenge 2025: ECGs for Chagas Disease

Participate in the PhysioNet Challenge 2025 to develop ECG algorithms for identifying Chagas disease. Register now and help improve global health.

The George B. Moody PhysioNet Challenge 2025 invites teams to develop algorithms for identifying Chagas disease using electrocardiograms (ECGs). Chagas disease, primarily transmitted by triatomine insect bites, affects 6.5 million people and causes nearly 10,000 deaths annually, mainly in Central and South America.

Training data from the CODE-15% dataset is available, and more data will be introduced during the unofficial phase. Example entries and scoring code in MATLAB and Python are also provided. The scoring system will be open soon.

The Challenge is divided into two phases: an unofficial phase for community feedback and an official phase. Teams must register and participate in the unofficial phase to be eligible for prizes. The Challenge culminates at the annual meeting of Computing in Cardiology in Brazil, where prizes will be awarded, including an additional prize for teams from the Global South.

For more information, visit the Challenge website or the Challenge forum. Questions and comments can be posted to the forum, but sensitive information should be emailed to info@physionetchallenge.org.

Tags: PhysioNet Challenge, Chagas disease, ECG algorithms, electrocardiograms, machine learning, medical research, Global South