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Scales Covered | MSM Method | Group | Poster Number | Title | Last Name | First Name | Abstract/Poster File |
Credibile practice guideline applicable to all scales of modeling and simulation | The Committee on Credibe Practice of Modeling and Simulation in Healthcare: 1. Conducted an internal survey of Committee members via discussion within task teams 2. Sythecized to yeild the Committee has drafted its perspectives on “The Ten Simple Rules of Credible Practice of M&S in Healthcare 3. Solicited input from the broader M&S community through an online survey 4. Consolidating the Committee's perspective and community survey results to establish "Guidelines for Credible Practice of Modeling and Simulation in Healthcare" |
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1 |
Guidelines for Credible Practice of Modeling and Simulation in Healthcare |
Mulugeta | Lealem | Poster: |
1 | 47 |
Modeling osmotic transients during exercise |
Bassingthwaite | James | |||
1 | 75 |
Impact of Compartmentalization and Cell Shape on Signaling Pathways in Cancer |
Spill | Fabian | |||
molecular | General-purpose constrained optimization using quadruple-precision floating-point arithmetic | 1 | 83 | General-purpose Software for Systems Biology | Saunders | Michael | |
enzyme, pathway, cellular, consortia | genome scale metabolic models, temporally resolved reaction diffusion PDEs, enzyme kinetics, agent based cellular models | 2 | 84 |
in silico and in vitro analysis of resource allocation in a chronic wound biofilm consortia |
Carlson | Ross | |
2 | 6 |
Multiscale Modeling of Blood Flow and Platelet Mediated Thrombosis |
Bluestein | Danny | |||
1 | 7 |
Computational Game Theory for Antibody Design |
Vorobeychik |
Eugene |
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molecular, pathway, organelle | PDE, ODE, image anaysis and segmentation, electron microscopy | 2 | 8 |
Understanding the Role of Mitochondrial Cristae Structure on Energy Metabolism through Simulation |
Afzal | Nasrin | |
molecular, supramolecular, cellular | PDEs, spatial stochastic | 1 | 9 |
Multiscale Modeling of Wound Healing |
Haugh | Jason | |
molecules (1e-2 Da to 1e6 Da), cell |
General-purpose constrained optimization using quadruple-precision floating-point arithmetic | 2 | 10 |
A multiscale model of metabolism and protein expression predicts the response of E. coli to oxidative stress |
Yang | Laurence | |
molecular, cellular, network | Uncertain ODEs | 1 | 11 | Multiscale Modeling of the Mammalian Circadian Clock: The Role of GABA Signaling | Henson | Michael |
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cell, tissue & hours to weeks | agent-based and finite element analysis | 2 | 12 |
Spatial Scaling in Multiscale Models: A Method for Coupling Agent-based and Finite-element Models of Tissue Remodeling |
Lee | Jia-Jye | |
Any | All | 1 | 13 |
Mechanistic Models, Model Mechanisms, and Computational Models of Explanation for Biological Phenomena |
Hunt | Anthony | |
molecular, cellular, tissue, organ, mice, strains; in vivo & in vitro |
software objects & logic mapped explicitly to biological behavior & structure through DES |
2 | 14 |
Is the Mechanism of APAP Toxicity In Vivo & In Vitro really the same? A model mechanism based explanation of the in vitro–in vivo disconnect |
Smith | Andrew | |
cell, tissue, system | finite element analysis, lumped parameter circulation model | 1 | 15 | Computational model of heart remodeling following relief of hemodynamic overload in a biventricular canine heart model | Yoshida | Kyoko | |
2 | 16 | Nonlinear mechanics of fibrin networks | Alber | Mark | |||
1 | 17 |
Structural biomechanics of platelet-driven clot contraction |
Kim | Oleg | |||
2 | 18 | Multiscale models of blood clotting | Xu | Zhiliang | |||
Genetic, cellular, tissue | ODE,genetic algorithm | 1 | 19 | Linking Gene Dynamics to Intimal Hyperplasia – A Predictive Model of Vein Graft Adaptation | Casarin | Stefano | |
Cellular, Breast tissue | Finite Element Analysis, agent-based model | 2 | 20 | Clinical study and multiscale modeling to predict the esthetic outcome of Breast Conservative Therapy | Lesage | Anne-Cecile | |
1 | 21 |
High-Fidelity Controlled-Resolution Atlas and Deformable Model-based Anatomical Modeling for Medical Simulation and Therapy Planning |
Audette | Michel | |||
Individual + Population | Object Oriented, Microsimulation, Database interface | 2 | 22 |
The Reference Model Interface with ClinicalTrials.Gov |
Barhak | Jacob | |
Cellular, Large-Scale Network, Bulk Tissue | NEURON, Admittance Method | 1 | 23 |
Improving Cortical Electrode Placement and Stimulation via Co-Simulation of Large-Scale Compartmental Neuronal and Multi-Resolution Admittance Method Models |
Bingham | Clayton | |
Large-Scale Network | NEURON | 2 | 24 | Spatio-Temporal Patterns Revealed by a Large-Scale Model of the Hippocampal Entorhinal-Dentate-CA3 System: Emergence of Clustered Activity | Yu | Gene | |
Cellular, Population | ODEs | 1 | 25 |
Temporal Dynamics of Macrophage Plasticity in Bone Metastatic Prostate Cancer |
Lynch | Conor | |
Molecular, cellular, population | Agent-based | 2 | 26 | Modeling the ecosystem of bone metastases: insights from a multi scale, multi modeling approach | Basanta | David | |
Molecules, Channels, Cells, Neural Network, Organ System | Agent-based, ODEs | 1 | 27 |
Integrating Microscopic Variability in Systems Modeling |
Dick | Thomas | |
2 | 28 | Multiscale modeling of the brain motor cortex circuits | Dura-Bernal | Salvador | |||
Molecular scales (angstrom to nanometer) | Full atomistic molecular simulation, Recombinant DNA technology | 1 | 29 |
Design of Biomaterial Bioinorganic Interfaces Related to Mineralization |
Ebrahimi | Davoud | |
atomic to nm | fully atomistic and coarse-grained molecular dynamics | 2 | 30 |
Thermal Response of Silk-Elastin-Like Protein Hydrogels: Integrating Experiments and Multiscale Computational Modeling |
Yeo | Jingjie | |
1 | 31 | Multiscale Modeling of Collagen IV Network: Insights into the Structural Basis of Pathologies | Sarkar | Biplab | |||
2 | 32 | Modeling of the relation between degradation and mechanical properties of a collagen fibril: A precursor examination towards understanding cartilage health | Dhaher | Yassin | |||
1 | 33 |
Prediction of EMG based on neural firing rates using stochastic dynamical operators |
Sanger | Terence | |||
milliseconds to 24 hours | Statistical thermodynamics | 2 | 34 |
Multi-scale Modeling of Circadian Rhythms: From Metabolism to Regulation and Back in 24 hours |
Cannon | William | |
1 | 35 | Electrical Stimulation Waveform Design Towards Increasing the E ectiveness of Retina Prosthetic Devices | Loizos | Kyle | |||
Tissue (250um) – Cell (20um), Time ranges from 0.01 second to minutes. | Agent based, PDE & ODE | 2 | 36 |
Comparison of Models of Hepatic Lobules at Varying Levels of Detail |
Sluka | James | |
Tissue (250um) – sub-Cell (5um), Time ranges from hours to months. | Agent based, PDE & ODE | 1 | 37 |
Coupled multiscale modeling and pathway analysis for prediction of drug efficacy in cystic kidney diseases |
Glazier | James | |
arterioles 20-80 um, NO 0-100 nM, PO2 0-100 torr, time 0.1 s to minutes |
Statistical data analysis | 2 | 38 |
Nitrite-mediated Vasodilation Quantified from In Vivo Studies in Rat Mesentery |
Buerk | Donald | |
Microcirculatory tissue and arteriole: 1-100 μm, Steady state | Finite element analysis, mass transport ODEs, cellular reaction kinetics | 1 | 39 |
A Mathematical Model for the Role of N2O3 in Enhancing Nitric Oxide Following Nitrite Infusion |
Liu | Yien | |
Nanoscale to Microscale (Surface Receptors, Calcium, Nanomotors, Neuron) |
IEEE Std 1906.1TM-2015; and Reference Code NEMo, doi: 10.1109/TMBMC.2015.2465513
|
2 | 40 |
Applying Nanocommunication Modeling to Understand Calcium Ion Influx in Neurons and Impact on Kinesin Axonal Transport of BDNF Vesicles |
Paluh | Janet | |
1 | 41 |
Modelling the Airway Epithelium to Facilitate Cystic Fibrosis Drug Development |
Corcoran | Timothy | |||
Sub-cellular to whole body lymphatic system, 10^-3 sec to hours |
PDEs, ODEs, ABM | 2 | 42 |
Mass Transport in the Lymphatic Vessels and Nodes |
Moore | James |
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Mesoscale & Microscale | ODEs, Discrete and Spatial Stochastic Simulation, | 1 | 43 |
StochSS: An Integrated Development Environment for Simulation and Analysis of Discrete Stochastic Biochemical Models |
Petzold | Linda | |
2 | 44 |
A multiscale systems biology model to characterize antitumor immunity and evaluate biomarkers for immunotherapeutics |
Gong | Chang | |||
molecular, cellular, tissue, organ and systemic levels; days to years | ODEs, algebraic equations, probabilities | 1 | 45 |
Systems Pharmacology Multiscale Model to Optimize Mono- and Combination-Therapy Regimens for Immune Checkpoint Inhibitors and Identify Potential Biomarkers |
Milberg | Oleg | |
spatial/temporal | agent-based, ODE/PDE | 2 | 46 |
Multiscale modeling of vascularized bone regeneration in hybrid constructs of soft collagen gels and rigid scaffold |
Tan | Hua | |
1 | 3 | High-Performance and Quantum Computing for Solving Biological Problems | Difelice | Rosa | |||
2 | 48 | Genome-wide prediction of minor groove electrostatics enables biophysical modeling of protein-DNA binding | Chiu | Tsu-Pei | |||
1 | 49 | Autonomic, Metabolic, and Mechanical Control of Coronary Blood Flow | Beard | Daniel | |||
molecular, cellular, tissue; seconds to years | agent-based, ODE, PDE | 2 | 50 | A Multi-scale Systems Pharmacology Approach to TB Treatment | Linderman | Jennifer | |
Individial-Population scales | Multiscale Imaging-based Cluster Analysis (MICA), Machine Learning | 1 | 51 | Multiscale imaging-based cluster analysis of a cohort of current smokers | Lin | Ching-Long | |
Spatial/Temporal | Agent-based, ODE/PDE | 2 | 52 | Systematically understanding immunity leading to CRPC progression | Ji | Zhiwei | |
1 | 53 | Sugar-Sweetened Beverage Warning Labels in Baltimore, Philadelphia and San Francisco: A Simulation Study | Ferguson | Marie | |||
2 | 54 | A Parallel Fluid Solid Coupling Tool Using Lammps and Palabos | Tan | Jifu | |||
1 | 55 |
Development of a multiscale skin barrier model for de novo, in silico prediction |
Tasseff | Ryan | |||
From the minute to the year, from the individual staff/patient scale to the OR suite and peripheral area scale. |
hybrid ABM - stochastic ODE |
2 |
56 |
Multiscale Modeling of Surgical Flow in a Large Operating Room Suite: Understanding the Mechanism of Accumulation of Delays in Clinical Practice |
Garbey | Marc | |
1 | 57 | Multiscale Multiphysics Model of Thrombus Biomechanics | Yazdani | Alireza | |||
molecular, cellular, tissue, organ | animal models of pressure- and volum-overload, mathematical models of growth and remodeling, computational multiscale models | 2 | 58 | Multiscale modeling of myocardial growth and remodeling | Kuhl | Ellen | |
1 | 59 |
Molecular Scale Prediction of Lidocaine Interaction with the Pore Domain of Human NaV1.5 |
DeMarco | Kevin | |||
2 | 60 |
Multiscale Analysis of Trauma |
Sinno | Talid | |||
1 | 61 |
Emulating Body Tissue Architectures for Computer-controlled Smart Material Design and Manufacture |
Knothe-Tate | Melissa | |||
2 | 62 | Motion of spheroidal nanoparticles in a cylindrical vessel flow: accurately resolving the hydrodynamic interactions and stochastic thermal motion | Ayyaswamy | Portonovo | |||
1 | 63 |
Biophysically inspired model for functionalized nanocarrier adhesion to cell surface and the development of next-generation pharmacokinetic models |
Radhakrishnan | Ravi | |||
2 | 64 |
A multiscale model for predicting margination effects and transport of nanogels in blood vasculature: comparison of Dynamical Density Functional Theory and Monte Carlo based approaches |
Eckmann | David | |||
hundreds of microns to tens of cm (acinus to trachea) | PDEs (wav eqn), 3D-to-1D coupling, fractal methods | 1 | 65 | The Multiscale Audible Human Project | Royston | Thomas | |
molecular to cellular | PDEs, stochastic simulations | 2 | 66 | Catch bonds at T cell interfaces | Abel | Steven | |
1 | 67 |
Cell Death as a Trigger for Morphogenesis of Bacterial Colonies |
Aguilar | Boris | |||
Molecular, Cellular, Individual, Population | Agent-based model, Genetic Algorithms, Random Dynamical Systems | 2 |
68 |
Really Big Data from HPC-enabled biomedical agent-based modeling: Pathways to Precision Medicine |
An | Gary | |
sub-cellular, cellular, tissue |
agent-based models, finite element models
|
1 | 69 | Computational models predict the effect of anti-fibrotic therapies in Duchenne muscular dystrophy | Kelley | Virgilio | |
tissue, Cellular, sub-cellular | Agent based model, ode, pde | 2 | 70 | A Hybrid Multiscale Tumor Growth Model | Lima | Ernesto | |
1 | 71 | Growth Control in Cancer: An Computational Model of YAP/TAZ Integrating cell-ECM Mechanosensing and Hippo pathway | Sun | Meng | |||
2 | 72 | Stochastic Simulation of Functional Knee Mechanics Enabled via Statistical Shape Modeling and High Throughput Computing | Smith | Colin | |||
1 | 73 | Multi-scale mechanics of the tendon-to-bone attachment | Thomopoulos | Stavros | |||
2 | 74 | Analysis of Multielectrode Data from CPG Networks Using a Stochastic Framework |
Abolfath-Beygi | Maryam | |||
body/organ/tissue/cell | PDE / finite element analysis | 2 | 2 | Democratization of Modeling & Simulation in Biomechanics | Erdemir | Ahmet | |
celluar
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DPD
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2 | 76 | Mesoscopic modeling of biomechanics and biorheology of red blood cells in type 2 diabetes mellitus | Chang | Hung-yu | |
subcelluar/celluar
|
CGMD/DPD |
1 | 77 |
Patient-specific modeling of biomechanics and biorheology of red blood cells in sickle cell anemia |
Li | Xuejin | |
2 | 78 | Multiscale modeling of cardiac growth | Lee | Lik Chuan | |||
cellular ~ tissue | agent-based & ODE/PDE | 1 | 79 | Multiscale Modeling of Multiple Myeloma Using Biocellion Framework | Kang | Chris | |
cellular ~ tissue | agent-based & ODE/PDE | 2 | 80 |
Biocellion: a large capacity modeling platform for multicellular biological systems |
Kang | Seunghwa | |
All scales | Bayesian inference, probabilistic programming | 1 | 81 | Stan: A Platform for Scalable Bayesian Inference | Betancourt | Michael | |
molecular, subcellular, cellular, layer, column, area, multiarea | ODE, event-driven | 2 | 82 | Embedded Ensemble Encoding - a new theory of brain cortex function | Lytton | William | |
molecular, subcellular, cellular and networks | PDEs, Deterministic and Stochastic simulation | 1 | 5 | Expanding NEURON to bridge electrophysiology, chemical, and network scales: simulations of ischemic stroke | Newton | Adam | |
Multiple/All Scales | Agent-based Modeling, Adaptive Model Exploration | 2 | 4 | From Desktop to Large-Scale Model Exploration with EMEWS | Ozik | Jonathan | |
1 | 85 | A detailed rule-based computational model for the interaction of VEGF pathway with thrombospondin-1 integrating multiple signaling modules: Implications for pro-angiogenic therapeutic interventions | Bazzazi | Hojjat | |||
Behavioral, Population, International | ODE, Deterministic | 2 | 86 |
Effectiveness of UNAIDS targets and HIV vaccination across 127 countries |
Fitzpatrick | Meagan | |
Micro to Macro | FDM of PDEs, DEM, CFD, Machine Learning | 1 | 87 |
Hip Prostheses Lifetime Prediction via Simulation-based Engineering |
Higgs | C. Fred | |
2 | 88 |
Parallel Discrete Event Simulation of Neurons |
Tropper | Carl | |||
cellular, tissue | FEM, ODE | 1 | 89 | Comparison of cellular- and tissue-scale models of dynamic contrast-enhanced MRI | Woodall | Ryan | |
Spatial, Temporal, Population | Multiscale statistical-based SolidWorks CAD modeling | 2 | 90 | Parametric Anatomical CAD Model Generation with Silicone Phantom Fabrication Tools for Validation Studies | Bergeron | Clint | |
Temporal, Population | Event-driven, Matlab, Simulink Simscape, Finite State Modeling | 2 | 91 | Development of a Pulmonary Simulator Utilizing Windkessel Modeling Techniques for Simulating Various Patient Populations within a Mock Circulatory System | King | Jacob | |
Temporal, Population | Event-driven, Matlab, Simulink Simscape | 2 | 92 | Evaluation of ventricular assist systems through target patient models | Taylor | Charles | |
1 | 93 | Exploring Polygenic Mechanisms of Pathogenesis and Treatment Resistance in Childhood Absence Epilepsy with a Multiscale Thalamocortical Model | Knox | Andrew | |||
Molecualr, Subcellular | MATLAB, NEURON | 2 | 94 |
Modeling Postsynaptic Current at the Glutamatergic Synapse of a CA1 Pyramidal Neuron: Development and Adaptation for Multi-Scale Simulations |
Hu | Eric | |
Microscopic, Mesoscopic, Sub-macroscopic and Macroscopic | Molecular Dynamic, Stochastic Simulations, Partial Differential Equation, and Bayesian scientific computing | 1 | 95 | Multi-scale Modeling of Gas Transport through Channels in Living Cells | Occhipinti | Rossana | |
2 | 96 |
Multiscale Model of Facet Capsule Mechanobiology |
Barocas | Victor | |||
Molecular, cellular | ODE, standard format, SBML | 1 | 97 |
Building Reproducible Dynamical Models with Tellurium 2.0: A Case Study using EGFR/Erk |
Sauro | Herbert | |
Any/All | Applicability analysis | 2 | 98 | Applicability analysis of validation evidence for biomedical computational models | Pathmanathan | Pras | |
Cellular, tissue | Event-driven | 1 | 99 | A Comparative Modeling Study on Intestinal Crypt Dynamics of Steady State and After Radiation | Hu | Shaowen | |
Molecular, cellular | Event-based | 2 |
100 |
Calculation of deletion, inversion, and ring spectra using a computational model of the radiation-induced chromosome aberrations with stochastic and amorphous particle tracks | Ponomarev | Artem |