To address this research gap, this study proposes the hypothesis that bioinformatics-identified molecular biomarkers, such as CDK1 and STAT1, may serve as highly sensitive and specific early diagnostic markers for AKI. The gene discussed is STAT1; the disease is acute kidney injury.