NGAL for the Detection of AKI: More Questions Than Answers

Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: A proof of concept - ScienceDirect

COVID-19: spot urine rather than bronchoalveolar lavage fluid analysis?, Critical Care

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Full article: Biomarker evidence for distal tubular damage but cortical sparing in hospitalized diabetic patients with acute kidney injury (AKI) while on SGLT2 inhibitors

Is plasma neutrophil gelatinase-associated lipocalin a predictive biomarker for acute kidney injury in sepsis patients? A systematic review and meta-analysis - ScienceDirect

Sensitivity and specificity of NGAL and urinary markers to discriminate

Acute Kidney Injury (06.12.2019)

Novel biomarkers proposed for the detection of renal injury (1, 2, 7) .

Early Recognition of Burn- and Trauma-Related Acute Kidney Injury: A Pilot Comparison of Machine Learning Techniques

Utility of plasma NGAL for the diagnosis of AKI following cardiac surgery requiring cardiopulmonary bypass: a systematic review and meta-analysis

Acute kidney injury - The Lancet

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Frontiers The Current State of the Art in Acute Kidney Injury