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 # George B. Moody PhysioNet Challenges
 
-For the past 25 years, [PhysioNet](https://physionet.org) and [Computing in Cardiology](http://www.cinc.org/) have co-hosted a series of annual challenges, now called the [George B. Moody PhysioNet Challenges](about), to tackle clinically interesting but unsolved questions.
+For the past 26 years, [PhysioNet](https://physionet.org) and [Computing in Cardiology](http://www.cinc.org/) have co-hosted a series of annual challenges, now called the [George B. Moody PhysioNet Challenges](about), to tackle clinically interesting but unsolved questions.
 
-The [George B. Moody PhysioNet Challenge 2024](2024) invites teams to develop algorithms for digitizing and classifying electrocardiograms (ECGs) captured from images or paper printouts. Despite recent advances in digital ECG devices, paper or physical ECGs remain common, especially in the Global South. These paper ECGs document the history and diversity of cardiovascular diseases (CVDs), and algorithms that can digitize and classify these images have the potential to improve our understanding and treatment of CVDs, especially for underrepresented and underserved populations.
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-We ask participants to design and implement working, open-source algorithms that, based only on the provided ECG images, reconstruct the waveforms and/or classify or diagnose the images. The teams with the best scores for these tasks on the hidden test set win the Challenge.
+The [George B. Moody PhysioNet Challenge 2025](2025) invites teams to develop algorithms for detecting Chagas disease from electrocardiograms (ECGs). Chagas disease is a parasitic disease in Central and South America that affects an estimated 6.5 million people and causes nearly 10,000 deaths annually. Timely treatment may prevent or slow damage to the cardiovascular system, but serological testing capacity is limited, so detection through ECGs can help to identify Chagas patients for testing and treatment. We ask participants to design and implement working, open-source algorithms that, based only on the provided ECGs, prioritize patients for testing. The teams with the best scores for these tasks on the hidden test set win the Challenge.
 
 Please check the below links for information about [current](#current) and [past](#past) Challenges, including [important details](faq) about scoring and test data for previous Challenges.
 
 ## <a name="news"></a> Select News
 
-- <a name="2025.01.09"></a>__January 9, 2025:__ The NIH-funded George B. Moody PhysioNet Challenge 2025 is now open! Please read this website for details and share questions and comments on [Challenge forum](https://groups.google.com/g/physionet-challenges/). This year's Challenge is generously sponsored by [MathWorks](https://www.mathworks.com/).
+- <a name="2025.01.09"></a>__January 9, 2025:__ The NIH-funded [George B. Moody PhysioNet Challenge 2025](2025) is now open! Please read this website for details and share questions and comments on [Challenge forum](https://groups.google.com/g/physionet-challenges/). This year's Challenge is generously sponsored by [MathWorks](https://www.mathworks.com/).
 
 - <a name="2024.09.20"></a>__September 20, 2024:__ We have released (__and updated__) the [results](2024/results) of the 2024 Challenge. Congratulations to the winners! Please see the [announcement](https://groups.google.com/g/physionet-challenges/c/bEjPLIMagRk) for more details.