William Lövfors

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.

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 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 method to build a comprehensive adipocyte signaling model by iteratively adding phosphosites with confidence levels, achieving high predictive accuracy for inhibitor data.

The paper develops a mathematical model linking in vitro and in vivo lipolysis data to explain fatty acid release mechanisms and simulate insulin clamp scenarios in type 2 diabetes.

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.

LASSIM infers genome-wide gene regulatory networks using mechanistic ODE models, demonstrating its effectiveness in modeling Th2 differentiation with integrated data and siRNA experiments.