In a study by Sittihakote et al., a 3D graphene‐based electrochemical immunosensor was combined with an Extreme Learning Machine (ELM) algorithm for accurate diagnosis and near‐real‐time monitoring of acute kidney injury (AKI).[130] The biosensor was designed to electrochemically detect Neutrophil Gelatinase Associated Lipocalin (NGAL), a biomarker that plays an important role in the early diagnosis of AKI, in human urine. The gene discussed is LCN2; the disease is acute kidney injury.