Endothelial cells in the cardiovascular system experience cyclic stretching due to pulsatile blood flow, leading to orientation changes that are crucial in vascular remodeling and related pathologies. Traditional models often describe cell alignment as a deterministic drift toward energy-minimizing configurations. However, experimental observations reveal a distribution of orientations whose spreading depends on both strain amplitude and frequency. In this talk, we present a modeling framework that builds upon the work of Loy and Preziosi (Bull. Math. Biol., 85, 2023) by incorporating the principles of Stochastic Thermodynamics with Internal Variables, as recently proposed by Leadbetter, Purohit, and Reina (PNAS Nexus, 2, 2023) to derive a reduced system of evolution equations for the mean orientation and concentration parameter of the cell ensemble. This approach enables us to capture both the evolution of the orientation distribution and the experimentally observed spreading phenomenon, highlighting the interplay between drift and diffusion in cell reorientation.