Very simple widget that queries your nightscout API to display blood glucose.

Data processing and analysis for "Determining the optimal timing for insulin injection to minimize glucose level variability after a meal in ideal conditions" - a research project for the IB Standard Level Mathematics Analysis and Approaches course inspired by my type 1 diabetes.

3D Visualization of my 2017 Diabetes Data

Differentiable simulators for Type 1 Diabetes research in Jax and PyTorch

Dexcom SDK built in Go

Functions to calculate glucose summary metrics, glucose variability metrics (as defined in clinical publications), and visualizations to visualize trends in CGM data.

This project is done for my Computer Graphics And Multimedia Course. This project basically draws our National Martyrs Memorial and it's surrounding (like the sky behind and other things) using the OpenGL And Glut. C++ is used as programming language. Glut And OpenGl is used as library for this project.

Preprocecssing of Team Novo Nordisk (TNN) cycling and diabetes data

A C# based set of tools intended for ArcGIS Desktop suite, delivered as an esriaddin format. This tool is meant to create a graphic legend inside Arc Map from a given legend table.

Show blood sugar and trend arrow (pulled from Nightscout) as icon in the windows system tray

Solves initial value problem of SIQRD equations. Optimizes coefficients of this pandemic model, so that simualtions match observed. Implements three IVP schemes and two gradient optimization methods with line search using Wolfe conditions.

Guess my blood sugar

Analysis of Team Novo Nordisk (TNN) cycling and diabetes data

🏆 Top 10 Globally @ Google Solution Challenge 2024 - Glutara Hardware 3D Design, Illustration, and Mockup Wearable Device.

Python API for OPDM

CGM monitor web plateform

Chrome extension to display latest Sugarmate BG reading

Allows easy use of the Dexcom Share API in your JavaScript project. Originally based on pydexcom.

Este repositorio contiene todos los notebooks de la experimentación del Trabajo Fin de Máster "Aprendizaje por transferencia en el pronóstico personalizado de glucosa para diabetes tipo 1"