Digital modeling of the chronic tonsillopharyngitis process with low-grade fever associated with herpesvirus infection

Abstract

This study focuses on the application of digital modeling to investigate the process of chronic tonsillopharyngitis (CTP) with low-grade fever, associated with herpesvirus infection (EBV and HHV-6). In the context of active integration of digital technologies into healthcare, particular attention is given to the concept of the digital twin—a virtual model of a patient or pathological process that allows for analysis of disease dynamics, outcome prediction, and selection of the most effective treatment strategies. Based on retrospective patient data, a mathematical model was developed incorporating clinical parameters, laboratory findings, symptom severity, and therapeutic response. Using this model, a digital twin of the pathological process was created, enabling scenario-based simulations of disease progression and evaluation of various treatment approaches. The modeling results revealed the high effectiveness of combination therapy (valacyclovir + aminodihydrophthalazinedione sodium) in reducing symptom severity. Statistically significant correlations were also identified between viral load, temperature response, and clinical manifestations, confirming the diagnostic and prognostic value of digital modeling. Thus, the use of digital twins in CTP demonstrates strong potential for the development of personalized therapeutic strategies and optimization of clinical decision-making.