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eISSN: 2582-8185 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Mathematical Modeling of Human Wound Healing Dynamics Using Experimental Morphometric Data and a Mechanistic Cell–Matrix ODE Framework

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  • Mathematical Modeling of Human Wound Healing Dynamics Using Experimental Morphometric Data and a Mechanistic Cell–Matrix ODE Framework

LEVAN GULUA 1, *, TAMAR KHUTSIDZE 2 and DAVID APKHAZAVA 3

1 School of Health Science, University of Georgia, 21 Kavtaradze street, 4 dead end Tbilisi, 0186, Georgia. 

2 Akaki Tsereteli state University, Tamar Mepe St #59, 4600, Kutaisi, Georgia.

3 David Aphkhazava Alte university, Tbilisi, Georgia; University of Georgia, Tbilisi Georgia.

Research Article

World Journal of Advanced Research and Reviews, 2026, 29(02), 603-608

Article DOI: 10.30574/wjarr.2026.29.2.0352

DOI url: https://doi.org/10.30574/wjarr.2026.29.2.0352

Received on 03 January 2026; revised on 09 February 2026; accepted on 12 February 2026

Quantitative modeling of wound healing enables objective assessment of tissue repair kinetics and provides a framework for predicting biological responses under physiological and pathological conditions. Experimental measurements of wound depth, area, and volume were recorded over 14 days. All geometric metrics decreased to zero by day 14, indicating complete closure. Two complementary approaches were developed: an empirical power-law decay model and a mechanistic ordinary differential equation model incorporating inflammatory cells, fibroblasts, collagen deposition, and wound contraction. Both approaches provided accurate descriptions of healing dynamics.

Human wound; Mathematical modeling; Green tea extract

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2026-0352.pdf

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LEVAN GULUA, TAMAR KHUTSIDZE and DAVID APKHAZAVA. Mathematical Modeling of Human Wound Healing Dynamics Using Experimental Morphometric Data and a Mechanistic Cell–Matrix ODE Framework. World Journal of Advanced Research and Reviews, 2026, 29(2), 603-608. Article DOI: https://doi.org/10.30574/wjarr.2026.29.2.0352

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