Toronto, ON
Canada
Research Article
A Discrete-Time Convergence Model for Proliferation-able Stem Cell and its Estimation using Kalman Filter
Author(s): Obaidul Malek, Anastasios Venetsanopoulos, Laila Alamgir, Javad Alirezaie and Sridhar KrishnanObaidul Malek, Anastasios Venetsanopoulos, Laila Alamgir, Javad Alirezaie and Sridhar Krishnan
The main challenge of stem cell biology is to characterize proliferation and differentiation processes; since, very little is known regarding the molecular stimuli responsible for their regulatory mechanisms. On the other hand, comprehensive molecular analysis is yet too complex to perform intuitively. Therefore, computational models are essential for the optimization of clinical understanding in order to enhance the therapeutic process.
In this article, a discrete-time convergence model for stem cell growth process based on clinical observations and engineering predictions has been proposed. Typically, stem cell populations are in quiescent; but in response to molecular stimuli they become activated and proliferate, and undergo divisional cycle before experiencing the terminal differentiation or disappearance process. The objective of this paper is to present a computational .. Read More»
DOI:
10.4172/2155-9538.1000119
Journal of Bioengineering & Biomedical Science received 307 citations as per Google Scholar report