Laser Promotes Proliferation of Stem Cells: A Comprehensive Case Study Consolidated by Intelligent Agent–Based Model Predictions

2014 ◽  
pp. 31-60 ◽  
Author(s):  
Aya Adly ◽  
Mohamed Haggag ◽  
Mostafa-Sami Mostafa
Keyword(s):  
Stem Cells ◽  
Intelligent Agent ◽  
Agent Based Model ◽  
Agent Based ◽  
Model Predictions

scholarly journals Isolation, Characterization, and Agent-Based Modeling of Mesenchymal Stem Cells in a Bio-construct for Myocardial Regeneration Scaffold Design

Data ◽  
2019 ◽  
Vol 4 (2) ◽  
pp. 71 ◽  
Author(s):  
Diana Victoria Ramírez López ◽  
María Isabel Melo Escobar ◽  
Carlos A. Peña-Reyes ◽  
Álvaro J. Rojas Arciniegas ◽  
Paola Andrea Neuta Arciniegas
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
In Silico ◽  
Cardiac Tissue ◽  
Cellular Level ◽  
Cell Behavior ◽  
Agent Based Model ◽  
Agent Based ◽  
And Migration

Regenerative medicine involves methods to control and modify normal tissue repair processes. Polymer and cell constructs are under research to create tissue that replaces the affected area in cardiac tissue after myocardial infarction (MI). The aim of the present study is to evaluate the behavior of differentiated and undifferentiated mesenchymal stem cells (MSCs) in vitro and in silico and to compare the results that both offer when it comes to the design process of biodevices for the treatment of infarcted myocardium in biomodels. To assess in vitro behavior, MSCs are isolated from rat bone marrow and seeded undifferentiated and differentiated in multiple scaffolds of a gelled biomaterial. Subsequently, cell behavior is evaluated by trypan blue and fluorescence microscopy, which showed that the cells presented high viability and low cell migration in the biomaterial. An agent-based model intended to reproduce as closely as possible the behavior of individual MSCs by simulating cellular-level processes was developed, where the in vitro results are used to identify parameters in the agent-based model that is developed, and which simulates cellular-level processes: Apoptosis, differentiation, proliferation, and migration. Thanks to the results obtained, suggestions for good results in the design and fabrication of the proposed scaffolds and how an agent-based model can be helpful for testing hypothesis are presented in the discussion. It is concluded that assessment of cell behavior through the observation of viability, proliferation, migration, inflammation reduction, and spatial composition in vitro and in silico, represents an appropriate strategy for scaffold engineering.

scholarly journals Development of an agent-based model to assess the impact of substandard and falsified anti-malarials: Uganda case study

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Sachiko Ozawa ◽  
Daniel R. Evans ◽  
Colleen R. Higgins ◽  
Sarah K. Laing ◽  
Phyllis Awor
Keyword(s):  
Agent Based Model ◽  
Agent Based ◽  
The Impact

scholarly journals Supporting Policy Design for the Diffusion of Cleaner Technologies: A Spatial Empirical Agent-Based Model

2020 ◽  
Vol 9 (10) ◽  
pp. 581 ◽  
Author(s):  
Caterina Caprioli ◽  
Marta Bottero ◽  
Elena De Angelis
Keyword(s):  
Policy Design ◽  
Renewable Energy Resources ◽  
Agent Based Model ◽  
Opinion Formation ◽  
Real World Data ◽  
Agent Based ◽  
Pv Systems ◽  
Definition Of

Renewable energy resources and energy-efficient technologies, as well as building retrofitting, are only some of the possible strategies that can achieve more sustainable cities and reduce greenhouse gas emissions. Subsidies and incentives are often provided by governments to increase the number of people adopting these sustainable energy efficiency actions. However, actual sales of green products are currently not as high as would be desired. The present paper applies a hybrid agent-based model (ABM) integrated with a Geographic Information System (GIS) to simulate a complex socio-economic-architectural adaptive system to study the temporal diffusion and the willingness of inhabitants to adopt photovoltaic (PV) systems. The San Salvario neighborhood in Turin (Italy) is used as an exemplary case study for testing consumer behavior associated with this technology, integrating social network theories, opinion formation dynamics and an adaptation of the theory of planned behavior (TPB). Data/characteristics for both buildings and people are explicitly spatialized with the level of detail at the block scale. Particular attention is given to the comparison of the policy mix for supporting decision-makers and policymakers in the definition of the most efficient strategies for achieving a long-term vision of sustainable development. Both variables and outcomes accuracy of the model are validated with historical real-world data.

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