Mattias Ekstedt

A physiologically-based digital twin for alcohol consumption - predicting real-life drinking responses and long-term plasma PEth

The paper presents a physiologically-based digital twin model that simulates real-life alcohol consumption and connects short-term drinking to long-term PEth levels, enabling personalized predictions and eHealth applications.

A multi-scale digital twin for adiposity-driven insulin resistance in humans: diet and drug effects

The paper develops a multi-scale digital twin model to simulate insulin resistance progression, validating it with diet and drug intervention data.

Digital twin predicting diet response before and after long-term fasting

The paper introduces a digital twin model that predicts diet response and metabolic changes before and after fasting by integrating clinical data and mechanistic models.