Biophysical phenomena are studied using molecular and multiphysics simulations, including the development of digital twins that dynamically represent reality by combining data and sensors. These approaches employ mathematical models and computational tools to analyze the mechanisms underlying biological processes, such as molecular interactions and the influence of physical phenomena on biological functions. Digital twins offer dynamic digital representations of molecular processes that enhance the predictive accuracy of simulations. Additionally, the laboratory creates human models based on magnetic resonance imaging image data for advanced simulations. These computational techniques are essential for deepening biological knowledge and developing new therapeutic and diagnostic technologies.