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@StanfordBDHG

Stanford Biodesign Digital Health

Our mission is to advance digital health research and applications by fostering an accessible health ecosystem at the Stanford Mussallem Center for Biodesign.

Stanford Biodesign Digital Health Group

We empower the digital health community to rapidly prototype and build digital health solutions on a variety of platforms.

Our flagship project is Spezi, an open-source framework and ecosystem of modules for building modern, interoperable digital health applications. Check out the Spezi Template Application as a great way to get started.

Other featured projects include:

  • OpenTSLM - time-series language models for reasoning over multivariate medical text- and time-series data
  • LLMonFHIR - using large language models to explain health data
  • HealthGPT - querying Apple Health Data using natural language
  • Phoenix - web-based builder for FHIR surveys
  • ResearchKitOnFHIR - FHIR questionnaires on iOS with ResearchKit
  • HealthKitOnFHIR - converting HealthKit data to FHIR resources

For more information, check out our website at bdh.stanford.edu.

Important

Are you interested in joining our team? Check out our open positions at bdh.stanford.edu/open-positions.

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  1. OpenTSLM OpenTSLM Public

    OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data

    Python 1k 70

  2. LLMonFHIR LLMonFHIR Public

    A Demonstration using LLMs to Explain Health Records

    Swift 141 19

  3. PediatricAppleWatchStudy PediatricAppleWatchStudy Public

    The Pediatric Apple Watch Study Application

    Jupyter Notebook 9

  4. HealthGPT HealthGPT Public

    Query your Apple Health data with natural language 💬 🩺

    Swift 1.9k 179

  5. ENGAGE-HF-iOS ENGAGE-HF-iOS Public

    ENGAGE-HF iOS Application

    Swift 7 3

  6. MyHeartCounts-iOS MyHeartCounts-iOS Public

    iOS repository for the My Heart Counts app, built using Stanford Spezi

    Swift 1 1

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