Elin Nyman

A Mathematical Model of Dietary Lipid Absorption and Postprandial Chylomicron Dynamics

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.

Detecting and Subtyping Ketoacidosis from Metabolomic Patterns in Forensic Casework

This study uses machine learning on metabolomic data to detect and subtype ketoacidosis in forensic cases with high accuracy.

Predicting Real-life Drinking Scenarios through a Physiological Digital Twin Incorporating Secondary Alcohol Markers

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 Human Metabolome and Machine Learning Improves Predictions of the Post-Mortem Interval

This study uses metabolomic data and machine learning to predict post-mortem interval with high accuracy, outperforming other models and showing the feasibility of using small datasets.

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.

Mathematical models disentangle the role of IL-10 feedbacks in human monocytes upon proinflammatory activation

The paper uses mathematical models to study IL-10 feedback mechanisms in human monocytes during inflammation, revealing their role in regulating TNF dynamics.

A comprehensive mechanistic model of adipocyte signaling with layers of confidence

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.

A multi-level model analysis of lipolysis and fatty acid release from adipocytes in vitro and from adipose tissue invivo

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.

A systems biology analysis of adrenergically stimulated adiponectin exocytosis in white adipocytes

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

An organ-based multi-level model for glucose homeostasis: organ distributions, timing, and impact of blood flow

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.

A multi-scale in silico mouse model for insulin resistance and humanoid type 2 diabetes

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.

Mechanisms of a sustained anti-inflammatory drug response in alveolar macrophages unraveled with mathematical modeling

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.

Perturbation biology links temporal protein changes to drug responses in a melanoma cell line

The paper develops a temporal modeling framework to link protein changes to drug responses in melanoma cells, identifying effective therapies through experimental validation.

LASSIM - a network inference toolbox for genome-wide mechanistic modeling

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