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. Author manuscript; available in PMC: 2017 Apr 1.
Published in final edited form as: J Mol Cell Cardiol. 2015 Dec 1;93:73–83. doi: 10.1016/j.yjmcc.2015.11.020

Table 1.

Summary of approaches used to model fibroblasts and fibrosis.

Physiology Model Type Description Model Size Spatial Scale Time Scale Reference
s
Electrical Ordinary Differential
Equations (ODEs)
Based on conservation of
charge and ion channel
biophysics
~10-100
parameters; 2-10
ODEs
10 μm−1 cm msec -
minutes
[22
24,30,34,3
6,37]
Finite Element Method
(FEM)
Tissue modeled as
continuum of elements,
constrained by conservation
of mass and charge.
~106 elements 10 cm msec -
minutes
[38]
Remodeling FEM Tissue modeled as
continuum of elements,
constrained by conservation
of mass and momentum
100-500
elements
10 μm −1 cm hours -
weeks
[5557,88]
Agent Based Model
(ABM)
Treats cells as agents
responding to a set of rules.
1-5 agents, 10-
50 parameters
10 μm − 1 cm hours -weeks [10,58
62,69,71]
ODEs Predicts changes in cells
and proteins over time.
15 parameters; 4
ODEs
1 cm weeks [70]
Signaling ODEs Predicts changes in
proteins, constrained by
mass-action kinetics
10-200
parameters; 4-
100 ODEs
10 μm seconds -
hours
[78,79,83,8
4]
Decision tree model Predicts outcome based on
a sequence of branching
decisions
5 nodes 10 μm NA [81,82]
Mixed-effects model Statistical model calibrated
to experimental data
13 parameters;
one equation
10 μm minutes [86]