Simulation engine
A digital human that ages
HAS models the body as coupled physiological systems that evolve over time. Here you can see the first of them in action: glucose metabolism.
What the engine is
The HAS engine simulates an individual as a set of physiological systems —metabolic, cardiovascular, endocrine, immune…— that interact step by step. Each system is grounded in published scientific models, and it is deterministic and reproducible: the same configuration and the same seed always produce the same trajectory. The goal is to explore how habits and interventions shape aging across decades.
Demo: the glucose response to a meal
Adjust a meal's carbohydrates and the individual's age. The curve shows how blood glucose rises and falls over the next four hours. All the computation runs in your browser.
- Fasting glucose
- 89
- Glucose peak
- 135
Glucose peaks at 26 min and stays within the healthy range.
The green band marks the healthy post-meal range; the red line, the hyperglycemia threshold.
How the model works
Glucose metabolism uses the Bergman minimal model: four coupled differential equations describing plasma glucose, insulin, its action on tissues, and the intestinal absorption of carbohydrates. A meal loads the gut; glucose appears gradually in the blood; the pancreas secretes insulin, which clears it. With age, insulin sensitivity declines, so the same plate produces a higher and longer-lasting peak in an older person.
This simulation is educational and exploratory. HAS is not a medical device or a diagnostic tool, and it does not replace the advice of a health professional.
The simulator learns from real people
The more people contribute their health data anonymously, the more faithful the digital human becomes. That is the citizen science behind HAS.
See how to take part