Abstract. Traumatic brain injury (TBI) is a leading cause of morbidity and disability among young individuals. Early assessment of injury severity and accurate outcome prediction remain challenging, as clinical evaluation alone often fails to reflect the true extent of brain tissue and meningeal damage. This study aimed to optimize diagnostic methods and develop a prognostic model by integrating clinical evaluation, neuroimaging, and laboratory biomarkers in 100 young TBI patients admitted to the Andijan Branch of the Republican Scientific Center of Emergency Medical Care (AF RSCEMC). Key biomarkers, including GFAP, UCH-L1, S100B, and NFL, were analyzed for their association with injury severity and recovery outcomes. The integrated diagnostic–prognostic model demonstrated high predictive accuracy (sensitivity 87%, specificity 82%, overall accuracy 85%), enabling early identification of high-risk patients and guiding targeted interventions. The findings support the implementation of biomarker-informed, individualized management strategies to improve treatment outcomes in young TBI patients.