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.

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.

Toolkit for a learning health system

💊🧬 PharMe - Pharmaceutical insights tailored to your personal genome

Personal Health Insights Agent (PHIA)

⚕️ 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.).

Website for the JuliaHealth organization (powered by Franklin.jl).

A python DIgital Signal ProcEssing Library developed to standardize extraction of sensor-derived measures (SDMs) from wearables or smartphones data.

Sleep stage classification using Gradient Boosted Classifier

⚕️ the world's first unified, lifecycle-centric regulatory framework specifically designed for autonomous AI agents in medical environments (270+ requirements, 3 risk categories).

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.

Digitalizing ROM analysis for the MRI hospital, Munich, as part of the Tech Challenge

🏥 AI-powered system for Chronic Kidney Disease staging and treatment. Combines a stacking ensemble (CatBoost, XGBoost, LightGBM) with clinical rules to achieve 96.8% accuracy. Includes SHAP explainability, a Streamlit web app, PDF reports, and expert-aligned treatment guidance. Built for clinicians, researchers, and ML developers in healthcare AI.

natHacks 2022 Winner Stefan, Zhao and Yushu. Python , NumPy, Brainflow Data Stream, PyQt5 GUI, Speech Recognition. Monitor Sleep Apnea by analyzing brain EEG data; instant feedback and sleep quality report; voice assistant enables accessibility control

A sovereign, decentralized healthcare infrastructure enabling direct patient-clinician care with privacy-preserving tech—low cost, scalable, and built as a public good.