Open-source framework for rapid development of modern, interoperable digital health applications.
-
Updated
Apr 3, 2026 - Swift
Open-source framework for rapid development of modern, interoperable digital health applications.
A curated list of foundation models, datasets, and tools for biosignals
Block the Instagram reel feed and other addictive features to drastically reduce your screentime.
Open-source, patient-controlled health record app with on-device AI. Aggregates medical data from 52K+ providers via FHIR R4. Offline-first. Flutter.
The DHDR (Digital Health Data Repository) is a repository with sample data for use with the DBDP.
A Foundation Model for Multivariate Wearable Sensing of Physiological Signals.
Personal Health Insights Agent (PHIA)
Toolkit for a learning health system
💊🧬 PharMe - Pharmaceutical insights tailored to your personal genome
⚕️ Applying LLM-powered AI Agents to Support for Physical Rehabilitation & Telerehabilitation Therapists, Students, and Patients. Use EBSCO articles dataset; Embeddings; local/external LLMs (Phi-4-mini, Gemma-3-1B-it, Llama-3.2-1B-Instruct, etc.).
A python DIgital Signal ProcEssing Library developed to standardize extraction of sensor-derived measures (SDMs) from wearables or smartphones data.
Website for the JuliaHealth organization (powered by Franklin.jl).
menstrual cycle tracking and wellness e-commerce platform built with Flutter, Firebase, and Node.js
⚕️ the world's first unified, lifecycle-centric regulatory framework specifically designed for autonomous AI agents in medical environments (270+ requirements, 3 risk categories).
Open-source Electronic Medical Records (EMR) for Canadian healthcare — HL7, FHIR, Java 21, Spring 5. Contributors welcome!
AI-enabled toolkit for building cross-platform digital health apps
Sleep stage classification using Gradient Boosted Classifier
This github repository contains the code for the chatbot Jody that is created for the thesis project: Goal setting dialogue for physical activity with a virtual coach.
deeplearning.ai - AI for Medicine Specialization (Andrew Ng, Pranav Rajpurkar)
A tool for tracking and analyzing screen time usage, helping users monitor digital habits and improve productivity.
Add a description, image, and links to the digital-health topic page so that developers can more easily learn about it.
To associate your repository with the digital-health topic, visit your repo's landing page and select "manage topics."