A next-generation platform for diabetes management
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Updated
Mar 20, 2026 - C#
A next-generation platform for diabetes management
ReplayBG is a digital twin-based methodology to assess new strategies for type 1 diabetes management.
Project to improve BG prediction quality in medical applications using Deep Reinforcement Learning
macOS toolbar glucose viewer
A personal BG display + alert system using the Nightscout API (Dexcom G7 via Nightscout).
AI application for Type 1 Diabetes monitoring, leveraging Open Food Fact database and Freestyle Libre data
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.
Bolus insulin calculator for T1D
501(c)(3) nonprofit advancing Type 1 Diabetes equity and education | 12 university chapters | 1200+ volunteers
Android CGM companion app — glucose display, graph, alerts, and Nightscout upload
This repository provides the necessary code to reproduce the meta analysis conducted in the scientific work that arose from the following research question: what is the effect of automated insulin delivery system use on diabetes distress?
Causal mediation analysis of CGM data using autoencoder-learned representations to study how meal carbohydrates affect postprandial glucose through insulin bolus decisions.
Reproducible ML pipeline for short-term blood glucose prediction in Type 1 Diabetes.
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