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

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date:

Abstract

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.

Authors

  • Priyadarshni Bindal
    Department of Restorative Dentistry, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia.
  • Umesh Bindal
    School of Medicine, Taylor's University, Selangor, Malaysia.
  • Chai Wen Lin
    Department of Restorative Dentistry, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia.
  • Noor Hayaty Abu Kasim
    Department of Restorative Dentistry, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia.
  • Thamil Selvee A P Ramasamy
    Department of Molecular Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
  • Ali Dabbagh
    Wellness Research Cluster, Institute of Research Management and Monitoring (IPPP), University of Malaya, Kuala Lumpur, Malaysia.
  • Ely Salwana
    Institute of Virtual Informatics, Universiti Kebangsan, Malaysia, Malaysia.
  • Shahaboddin Shamshirband
    Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia; Department of Computer Science, Chalous Branch, Islamic Azad University (IAU), 46615-397 Chalous, Mazandaran, Iran. Electronic address: shamshirband@um.edu.my.