BIOPHYSICAL SIMULATION OF PULMONARY GAS EXCHANGE AND ITS APPLICATION IN DIAGNOSTICS

Pulmonary gas exchange is a fundamental physiological process essential for maintaining adequate oxygen delivery and carbon dioxide removal in the human body.

Impairments in gas exchange are associated with a variety of respiratory disorders, including chronic obstructive pulmonary disease, pneumonia, asthma, and interstitial lung diseases. Traditional diagnostic methods often provide only indirect or macro-level assessments of pulmonary function, limiting early detection and precise evaluation of pathophysiological changes. This study focuses on the biophysical simulation of pulmonary gas exchange, employing mathematical modeling to reproduce alveolar-capillary diffusion, ventilation-perfusion distribution, and gas transport dynamics. The integration of clinical data, including arterial blood gas analysis, spirometry, and imaging results, into simulation models enhances diagnostic accuracy and enables individualized evaluation of pulmonary function. The findings demonstrate that biophysical simulation is an effective tool for early detection of functional impairments, optimization of treatment strategies, and prediction of disease progression. This approach has significant potential for integration into precision medicine and advanced digital diagnostics.