Causal modelling with FitBit and Gluroo data for blood-glucose time-series evolution

Experimental iOS and Apple Watch app for real-time Nightscout glucose monitoring - Developer mode only

This Node.js script reads in a CSV file containing insulin pump data and calculates the average bolus volume for each hour of the day. It is designed for Medtronic 780G pump users to help set up their basal rate. The script has not been extensively tested and is provided for educational purposes only.

This project implements a Personalized Closed-Loop Artificial Pancreas system for Type 1 Diabetes (T1D) management. The system uses Reinforcement Learning (RL) to learn optimal continuous insulin dosing strategies for different patient cohorts (children, adolescents, adults) without relying on meal announcements.

GlucoForecast AI: Asistente para Gestión Inteligente de Diabetes Tipo 1

Aplicación móvil para pacientes que permite el monitoreo de glucosa, registro de hábitos y visualización de alertas tempranas impulsadas por IA.

🩺 Guerreros Azules | Prototipo de App móvil para el manejo de diabetes tipo 1 en niños. Combina herramientas de monitoreo para padres con una interfaz de juego (RPG) para mejorar la adherencia al tratamiento en pacientes pediátricos.

GluPulse: A holistic diabetes management ecosystem integrating clinical tracking, AI-driven recommendations (Google Gemini), and a specialized healthy food marketplace. Built with Go (Echo), PostgreSQL, and Flutter.

Smart mobile app for diabetic patients offering personalized meal plans, glucose tracking, and lifestyle support.

R scripts and original survey data for the 2022 T1International out-of-pocket expenses and diabetes management supplies rationing.

HealthComm is a healthcare monitoring platform that helps caregivers track patients with chronic conditions like hypertension and diabetes in real time using wearable devices, sending alerts for urgent medical attention.

GlucoTrack is a Python-based diabetes management app that tracks blood sugar, logs meals/exercises, visualizes trends, predicts levels via linear regression with circadian adjustments, and offers advice. Built with Tkinter GUI, Pandas, Matplotlib, and SciPy for a scientific, user-friendly health tool.

🩸 Monitor glucose levels effortlessly with SugarWatch, the Apple Watch client for Type 1 diabetes management, designed for iOS and watchOS.

RL for insulin dosing in Type-1 Diabetes patients