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

This study presents a mathematical model to understand alopecia areata by integrating hair cycle dynamics and immune system interactions. The model uses equations and parameters to simulate disease progression and identify influential factors affecting the anagen phase of hair follicles. Sensitivity analysis with eFAST highlights key parameters, offering insights into the disease's complex dynamics. The model serves as a tool for studying autoimmune hair loss, potentially aiding in diagnosis and treatment by targeting immune dysregulation. This framework enhances understanding of alopecia areata and suggests future advancements in treatment strategies.