IMPROVING EARLY DIAGNOSTIC METHODS IN CHRONIC KIDNEY DISEASE
Abstract
Chronic kidney disease (CKD) represents a significant global health challenge, characterized by progressive decline in renal function. Early diagnosis is critical for preventing advancement to end-stage renal disease (ESRD), reducing patient morbidity, and enhancing quality of life. This review examines current laboratory, instrumental, and molecular techniques for early CKD detection, emphasizing novel biomarkers, advanced imaging modalities, and artificial intelligence applications. The integration of traditional laboratory parameters with contemporary biomarker profiling and AI-driven analytical tools demonstrates substantial improvements in early detection capabilities and enables more personalized therapeutic interventions.
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