Hillo
Hillo AI is dedicated to unlocking precision diabetes care through AI and digital twin technology. Their patient-centric approach involves building digital twins that mimic individual glycemic responses, enabling personalized treatment plans, simulation, prediction, and real-time blood glucose management. The company aims to improve diabetes management efficiency and outcomes with clinically validated AI technology.
Industries
Nr. of Employees
small (1-50)
Products
Digital twin-based predictive platform
Platform combining patient-specific digital twin models, ML forecasting, and analytics to predict short-term glucose trends and support personalized treatment decisions.
Clinically validated predictive models
Predictive engines trained and tested on observational and shared clinical trial datasets, evaluated with clinical error-grid metrics and reported high within-grid accuracy at multiple horizons.
Digital twin-based predictive platform
Platform combining patient-specific digital twin models, ML forecasting, and analytics to predict short-term glucose trends and support personalized treatment decisions.
Clinically validated predictive models
Predictive engines trained and tested on observational and shared clinical trial datasets, evaluated with clinical error-grid metrics and reported high within-grid accuracy at multiple horizons.
Services
Cloud-hosted application that extracts behavioral and therapeutic patterns from patient data, highlights recurrent glycemic patterns, and provides simulation tools to evaluate treatment adaptations in-silico.
API service that provides short-term glucose direction and risk predictions and personalized preventive recommendations for integration into patient logbook or mobile apps.
Service that constructs patient digital twins from real-world data and runs in-silico scenarios to evaluate the impact of lifestyle or therapeutic changes on glucose control.
Cloud-hosted application that extracts behavioral and therapeutic patterns from patient data, highlights recurrent glycemic patterns, and provides simulation tools to evaluate treatment adaptations in-silico.
API service that provides short-term glucose direction and risk predictions and personalized preventive recommendations for integration into patient logbook or mobile apps.
Service that constructs patient digital twins from real-world data and runs in-silico scenarios to evaluate the impact of lifestyle or therapeutic changes on glucose control.
Expertise Areas
- Digital twin modeling for personalized diabetes care
- Machine learning for time-series medical data
- Continuous glucose monitoring (CGM) data analytics
- Clinical validation of predictive models
Key Technologies
- Digital twin modeling
- Machine learning time-series forecasting
- Missing-data imputation algorithms
- API-based integration
News & Updates
Assessment of the performance of Hillo AI's machine learning approach to blood glucose prediction in T1D patients, presented at ATTD 2019.
Evaluation of Hillo AI's predicted blood glucose curves as decision support in T1D management, presented at ATTD 2020.
Development of a machine learning method to predict and reduce uncertainty in real-time blood glucose predictions, presented at ATTD 2022.
Introduction of an AI algorithm for real-time meal detection and reconstruction using CGM data, presented at ATTD 2022.
Assessment of the performance of Hillo AI's machine learning approach to blood glucose prediction in T1D patients, presented at ATTD 2019.
Evaluation of Hillo AI's predicted blood glucose curves as decision support in T1D management, presented at ATTD 2020.
Development of a machine learning method to predict and reduce uncertainty in real-time blood glucose predictions, presented at ATTD 2022.
Introduction of an AI algorithm for real-time meal detection and reconstruction using CGM data, presented at ATTD 2022.