#38 · Systems biology
Personalized computational models of heart, lung, and musculoskeletal systems
The dominant thread is subject-specific geometry derived from medical imaging as the substrate for organ-level computational models. A 1D flow framework applied to CT-derived pulmonary arteries simulates lung resection, and its wave intensity changes agree with a clinical study. A porcine ventricular digital twin integrates multi-modal data to simulate healthy and location-dependent infarcted electrophysiology and ECGs. A semi-automatic MRI workflow (3D Slicer, Python, thin-plate spline landmark mapping) builds personalized musculoskeletal models and reports that personalized geometry matters in healthy adults. The novelty lies in pairing imaging-derived anatomy with physiological simulation across pulmonary, cardiac, and musculoskeletal systems.
Published papers
Integrated multi-modal data analysis for computational modeling of healthy and location-dependent myocardial infarction conditions in porcine hearts.
Porcine ventricular digital twins integrate multi-modal data to simulate healthy and infarcted heart electrophysiology and ECGs.
Do we need medical imaging-informed musculoskeletal models for simulations in healthy adults? A new workflow based on magnetic resonance imaging highlights the importance of personalized geometry.
Presents a semi-automatic MRI-based workflow (3D Slicer, Python, thin-plate spline landmark mapping) for personalized musculoskeletal models; shows geometry…
Preprints
A Computational Framework for Pulmonary Assessing Wave Intensity Following Simulated Lung Resection
1D flow model framework simulating lung resection in CT-derived pulmonary arteries; wave intensity changes agree with a clinical study.
Topic history
| Date | Rank |
|---|---|
| #38 |