November 5, 2025
What a day at hashtag#JupyterCon2025 in San Diego, CA!
On Monday, our team had the pleasure of leading a hands-on tutorial introducing JupyterHealth — an open-source project for controlled ingestion, structure, and analysis of Patient-Generated Health Data (PGHD) from wearables and other connected devices.
Using Continuous Glucose Monitoring (hashtag#CGM) data as a starting point, we walked participants through:
⚙️ Ingesting time-series data from JupyterHealth Exchange with controlled authentication
📊 Building visualizations with modular components in the CGMSandbox to explore PGHD data
🚧 Structuring wearable data with open standards such as IEEE 1752.1m Open mHealth, and FHIR
💡 Extracting digital biomarkers for clinical insight
Huge thanks to everyone who joined the session and shared their ideas. It’s inspiring to see how the Jupyter community is embracing open, reproducible tools for health data science.
🔗 Learn more or get involved: https://lnkd.in/eSwe_9JN
— Bill Chen, Jessilyn Dunn, Simona Carini, Fernando Pérez, Ida Sim, Maryam Vareth, PhD, and Min Ragan-Kelley, on behalf of the JupyterHealth team