eCite Digital Repository
Hybrid machine learning approaches in viability assessment of dental pulp stem cells treated with platelet-rich concentrates on different periods
Citation
Bindal, P and Bindal, U and Kazemipoor, M and Kazemipoor, M and Jha, SK, Hybrid machine learning approaches in viability assessment of dental pulp stem cells treated with platelet-rich concentrates on different periods, Applied Medical Informatics, 41, (3) pp. 93-101. ISSN 1224-5593 (2019) [Refereed Article]
 | PDF 677Kb |
Copyright Statement
Copyright 2019 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Official URL: https://ami.info.umfcluj.ro/index.php/AMI/article/...
Abstract
The unique characteristics of dental pulp stem cells (DPSCs), like multi-lineage differentiation, have
attracted considerable interest among clinicians and researchers for the treatment of various diseases.
Platelet-derived concentrates (PRSs) are utilized for wound healing, due to the plethora of growth
factors that are released from platelets. In this study, DPSCs were cultured with one of the three
culture supplements, including fetal bovine serum (FBS), human platelet-rich plasma (PRP), and
human platelet lysate (HPL). The viability effects of these platelet-derived culture supplements on
DPSCs were evaluated using hybrid approaches of fuzzy-genetic methods. The results showed that
DPSCs cultured in HPL have higher viability than FBS and PRP. It is suggested that fuzzy-genetic
algorithm (GA) is an accurate approach to estimate the effect of platelet concentrates on the
proliferation of stem cells derived from the human tooth.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | stem cells, AI, human platelet-rich concentrates, fuzzy-genetic algorithm |
| Research Division: | Biological Sciences |
| Research Group: | Biochemistry and cell biology |
| Research Field: | Cellular interactions (incl. adhesion, matrix, cell wall) |
| Objective Division: | Expanding Knowledge |
| Objective Group: | Expanding knowledge |
| Objective Field: | Expanding knowledge in the health sciences |
| UTAS Author: | Bindal, P (Mrs Priyadarshni Bindal) |
| ID Code: | 136091 |
| Year Published: | 2019 |
| Deposited By: | UTAS Centre for Rural Health |
| Deposited On: | 2019-11-29 |
| Last Modified: | 2019-12-16 |
| Downloads: | 9 View Download Statistics |
Repository Staff Only: item control page