Neuro-fuzzy method for predicting the viability of stem cells treated at different time-concentration conditions

被引:10
作者
Bindal, Priyadarshni [1 ]
Bindal, Umesh [4 ]
Lin, Chai Wen [1 ]
Abu Kasim, Noor Hayaty [1 ]
Ramasamy, Thamil Selvee A. P. [2 ]
Dabbagh, Ali [3 ]
Salwana, Ely [5 ]
Shamshirband, Shahaboddin [6 ,7 ]
机构
[1] Univ Malaya, Dept Restorat Dent, Fac Dent, Kuala Lumpur, Malaysia
[2] Univ Malaya, Dept Mol Med, Fac Med, Kuala Lumpur, Malaysia
[3] Univ Malaya, Inst Res Management & Monitoring IPPP, Wellness Res Cluster, Kuala Lumpur, Malaysia
[4] Taylors Univ, Sch Med, Selangor, Malaysia
[5] Univ Kebangsan, Inst Virtual Informat, Bangi, Malaysia
[6] Ton Duc Thang Univ, Dept Management Sci & Technol Dev, Ho Chi Minh City, Vietnam
[7] Ton Duc Thang Univ, Fac Informat Technol, Ho Chi Minh City, Vietnam
关键词
Dental pulp stem cells; lipopolysaccharides; neuro-fuzzy; ANFIS; prediction; DENTAL FOLLICLE; NETWORK; LPS;
D O I
10.3233/THC-170922
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Dental stem cells isolated for human dental pulp are an excellent source for regenerative medicine and dentistry. Simulation of clinical scenario is one of the crucial challenges for evaluation of the efficacy of DPSCs in various regenerative therapies. In this study we evaluated the viability of DPSCs after treatment with artificial bacterial lipopolysaccharides (LPS) as the main component responsible for inducing inflammatory response in majority of the inflammatory conditions in clinical scenario. Although a number of studies have previously treated stem cells with LPS from bacteria, however the accuracy level of the outcome was not established. Here we have analyzed the outcome using adaptive neuro-fuzzy inferences system (ANFIS) to predict the viability of human DPSCs after treatment with bacterial LPS.
引用
收藏
页码:1041 / 1051
页数:11
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