Christian Simonsson

This paper develops a mathematical model of chylomicron dynamics incorporating the second meal effect, showing it can predict postprandial lipid responses across different BMI values.

The paper introduces M4 drug discovery, a method that integrates multi-level, multi-timescale, and multi-species data with mechanistic knowledge to predict clinical outcomes of drugs like GLP-1RAs from preclinical data.

This study shows that fixed-dose streptozotocin in HFD-fed mice induces a stable T2D-like phenotype, contrasting with weight-adjusted dosing which causes variability.

This paper integrates GLP-1RA exenatide studies across heterogeneous cell systems to address variability, providing a unified conclusion and predicting inter-study variabilities.

This paper develops a mathematical model integrating multiple alcohol biomarkers to reconstruct past drinking events and provides an interactive web tool for forensic analysis.

The paper develops a mathematical framework to estimate insulin-stimulated glucose uptake per adipocyte, considering cell size dependence, and shows it slightly improves model-data agreement.

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.

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

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.

The paper develops a systems biology model to simulate adrenergic stimulation of adiponectin exocytosis in white adipocytes and validates it with experimental data.

The paper presents an in silico mouse model that simulates multi-scale insulin resistance and type 2 diabetes progression across cells, organs, and the whole body.

The paper uses mathematical modeling to uncover the mechanism of a sustained anti-inflammatory response to Dexamethasone in alveolar macrophages, identifying slow receptor-drug complex release as the key factor.