Tilda Herrgårdh

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

This paper presents a hybrid digital twin model combining mechanistic and machine learning approaches to simulate ischemic stroke risk based on physiological factors over time.

The paper updates a multi-level mathematical model of glucose homeostasis to better reflect organ-specific glucose uptake, dynamics, and the impact of blood flow on insulin-stimulated glucose uptake.