2026 News

The published Bridge2AI-Voice Adult Dataset contains derived features from the audio waveforms. This PhysioNet project does not contain raw audios.

The raw audio data is available through Synapse: https://www.synapse.org/Synapse:syn72370534/

Accessing raw audio is a more involved process and requires institutional sign off. Detailed instructions for accessing the dataset are provided on the Synapse page. For unique questions regarding data access, please reach out to the access committee: DACO@b2ai-voice.org

For questions regarding the dataset itself, please contact the corresponding author, listed on the sidebar.

The published Bridge2AI-Voice Pediatric Dataset contains derived features from the audio waveforms. This PhysioNet project does not contain raw audios.

The raw audio data is available through Synapse: https://www.synapse.org/Synapse:syn73617068

Accessing raw audio is a more involved process and requires institutional sign off. Detailed instructions for accessing the dataset are provided on the Synapse page. For unique questions regarding data access, please reach out to the access committee: DACO@b2ai-voice.org

For questions regarding the dataset itself, please contact the corresponding author, listed on the sidebar.

The George B. Moody PhysioNet Challenge 2026 is officially underway. The 2026 Challenge invites teams to develop algorithms for using polysomnograms (PSGs) to predict cognitive impairment from sleep studies.

Sleep is a fundamental physiological process that is deeply intertwined with human health. Traditionally, clinicians use sleep studies to diagnose obstructive sleep apnea, insomnia, and other sleep disorders. However, sleep studies can also reveal other chronic conditions that cause, are caused by, or are correlated with physiological changes in sleep. These findings can provide context to sleep disorders and inform the early diagnosis and treatment of other health conditions.

We have shared multicenter Challenge training data containing EEG, ECG, and other physiological signals and algorithmic and human sleep annotations as well as an example Challenge entry that you can use as a template for your entries. We will open the scoring system in the coming days.

Please see the Challenge website for the data, code, and  more information, rules, and deadlines: https://moody-challenge.physionet.org/2026/.

As in previous years, we have divided the Challenge into two phases: an unofficial phase and an official phase. The unofficial phase solicits feedback from the research community (i.e., you) to help us improve the Challenge for the official phase, so we require teams to register and participate in the unofficial phase of the Challenge for prize eligibility. Please enter early and often – we need you to look for quirks in our data, our scoring system, and otherwise. We are imperfect (and bandwidth-limited), so please send us comments, issues, and suggestions via the  Challenge forum (see below). We rely on the community to help us to improve the quality of the Challenge each year.

The culmination of the Challenge will be in Spain at the annual meeting of Computing in Cardiology, where we will present prizes at the closing ceremony.

We will post more information on the PhysioNet Challenge website and Challenge forum as it becomes available, or when your input helps us modify the boundaries and content of the Challenge. You may (and should) post questions and comments onthe Challenge forum. However, if your question reveals information about your entry, then please email info [at] physionetchallenge.org instead to help ensure each entry is as independent as possible (*). 

We thank you for your continued interest and support, and we hope that you enjoy the 2026 Challenge! 

https://PhysioNetChallenges.org/
https://PhysioNet.org/

[* The info [at] physionetchallenge.org address is monitored by a team. We will not answer emails about the Challenge which are sent to individual organizers of the Challenge (or any other part of the PhysioNet Resource) or any affiliated events (such as Computing in Cardiology). We may share parts of our replies publicly if we feel that all Challengers should benefit from the information contained in our responses.]