PyHealth Research Initiative
Open Research in Healthcare AI
A year-round program bringing together students, engineers, researchers, and healthcare professionals to publish cutting-edge clinical AI research.
About the Initiative
We welcome anyone passionate about advancing computational healthcare — regardless of career stage or institutional affiliation. Participants work on innovative projects that lead to publications, open-source software, and real clinical impact. Our work is grounded in four core tenets.
Reproducible
Every result ships with open code, standardized pipelines, and clear documentation so others can verify, build on, and extend our findings.
Extensible
Research contributions integrate directly into PyHealth, making them reusable building blocks for the broader healthcare AI community.
Accessible
Open to all — students, engineers, clinicians, and independent researchers. No title or institutional affiliation required to contribute.
Clinically Relevant
Projects tackle real problems in healthcare — clinical decision support, risk stratification, rare disease, and more — in partnership with domain experts.
Published Research
Papers produced by PyHealth Research Initiative participants. Filter by year or venue.
How to Apply
Three steps to get started with the PyHealth Research Initiative.
Join the Discord
All official announcements and communication happen here. Connect with the team, ask questions, and stay updated on open projects.
Join the serverSubmit an Application
Fill out the application form — especially important for those interested in industry collaborations and structured mentorship.
Open formSubmit a Pull Request
Applications are evaluated based on PyHealth contributions. A high-quality PR demonstrating good software engineering practices will be considered for the program.
View open issuesNot sure where to start contributing?
Browse our curated bounty list for contribution ideas designed for new participants.