Mathematical Modeling of Alopecia Areata: Unraveling Hair Cycle Dynamics, Disease Progression, and Treatment Strategies

This study presents a mathematical model of alopecia areata, focusing on hair cycle dynamics and immune system interactions. By formulating equations and conducting simulations, the model explores disease progression and identifies key parameters affecting the anagen phase of hair follicles. Sensitivity analysis using eFAST highlights influential factors, enhancing understanding of the disease's complex dynamics. The model serves as a tool for studying autoimmune hair loss, offering insights into potential treatment strategies targeting immune dysregulation. This comprehensive framework advances knowledge of alopecia areata and suggests future directions for diagnosis and treatment.