An automated insulin delivery app for iOS, built on LoopKit

Opensource automated insulin delivery system (closed loop)

Android app for Freestyle Libre 1,2 and 3, Dexcom G7/ONE+, Sibionics GS1Sb, AccuChek SmartGuide, CareSens Air and Aidex X sensors

Glucosio Android App

A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose

Get The Most Out Of Your CGM Transmitter

Trio - an automated insulin delivery system for iOS based on the OpenAPS algorithm with adaptations.

Glucometer access utilities

Documentation for setting up OpenAPS

This project is all about a Machine Learning based Medical Test web app which makes predictions about various diseases using the concept of machine learning.

No description available

In this project, the objective is to predict whether the person has Diabetes or not based on various features like Number of Pregnancies, Insulin Level, Age, BMI.

End-to-end diabetes risk prediction with KNN, SVM, RF, and ANFIS. Full pipeline, model export, visual reports, and an AI-powered risk assessment tool.

Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

Predict Diabetes using Machine Learning.

Syncs data from Tandem Source (formerly t:connect) to Nightscout for the t:slim X2 and Mobi insulin pumps

No description available

Android app for diabetics

An Electron app for uploading diabetes device data to Tidepool's backend

A Django application developped for classification of a diabetes complication that affects eyes

Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied

Blip is the internal name for Tidepool for Web, a tool for seeing diabetes data in one place.

Control omnipod from your phone and more.

Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using supervised machine learning and deep learning algorithms.

Mg/dL and mmol/L Fitbit watchface for CGM in the Cloud Group

ResearchKit app studying Diabetes, developed by Massachusetts General Hospital.

No description available

An app to modify and read memory in the Libre blood glucose monitor.

Integrated Image-based Deep Learning and Language Models for Primary Diabetes Care

Sugar Candy is the sweetest login theme available for the SDDM display manager. It's so sweet it may cause you diabetes. Sugar Candy offers a straight forward user experience focusing on functionality while still offering vast customization.