Abu Bakar, Norshamiza and S. M. N. Mydin, Rabiatul Basria and Yusop, Norhayati and Matmin, Juan and Ghazalli, Nur Fatiha (2024) Understanding the ideal wound healing mechanistic behavior using in silico modelling perspectives: a review. Journal of Tissue Viability, 33 (1). pp. 104-115. ISSN 0965-206X
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Official URL: http://dx.doi.org/10.1016/j.jtv.2023.11.001
Abstract
Complexity of the entire body precludes an accurate assessment of the specific contributions of tissues or cells during the healing process, which might be expensive and time consuming. Because of this, controlling the wound's size, depth, and dimensions may be challenging, and there is not yet an efficient and reliable chronic wound model representation. Furthermore, given the inherent challenges associated with conducting non-invasive in vivo investigations, it becomes peremptory to explore alternative methodologies for studying wound healing. In this context, biologically-realistic mathematical and computational models emerge as a valuable framework that can effectively address this need. Therefore, it might improve our approach to understanding the process at its core. This article will examines all facets of wound healing, including the kinds, pathways, and most current developments in wound treatment worldwide, particularly in silico modelling utilizing both mathematical and structure-based modelling techniques. It may be helpful to identify the crucial traits through the feedback loop of computer models and experimental investigations in order to build innovative therapies to cure wounds. Hence the effectiveness of personalised medicine and more targeted therapy in the healing of wounds may be enhanced by this interdisciplinary expertise.
Item Type: | Article |
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Uncontrolled Keywords: | in silico model, mathematical model, mechanism, structure based model, therapy and target and wound healing |
Subjects: | Q Science > QD Chemistry |
Divisions: | Science |
ID Code: | 108963 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 20 Jan 2025 00:37 |
Last Modified: | 20 Jan 2025 00:37 |
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