{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T17:10:21Z","timestamp":1790097021109,"version":"4.0.1"},"reference-count":79,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T00:00:00Z","timestamp":1790035200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Mol. Sci.","IJMS"],"abstract":"<jats:p>Acute kidney injury (AKI) is a complex and multifactorial syndrome characterized by the rapid decline of renal function following ischemic, septic, traumatic, hypoxic, or nephrotoxic insults. Despite advances in critical care, exacerbation of AKI is associated with substantial morbidity, mortality, progression to chronic kidney disease (CKD) and multiorgan dysfunction. Current therapies remain largely supportive and do not directly target the molecular pathways driving AKI, underscoring the need for mechanism-based diagnostics and precision-guided therapeutic strategies. Accumulating evidence supports that AKI is driven by mechanistic crosstalk among cellular injury pathways involving mitochondrial dysfunction, oxidative stress, endothelial damage, immune dysregulation, and regulated cell death. Flow cytometry has emerged as a powerful platform for high-dimensional single-cell and extracellular vesicle analysis, enabling comprehensive assessment of immune cell phenotypes, platelet activation, endothelial alterations, mitochondrial dysfunction, and circulating extracellular vesicles associated with AKI. Advances in artificial intelligence (AI), machine learning and emerging explainable AI (XAI) enhance the ability to identify clinically relevant patterns from complex datasets. This review aims to integrate AKI pathophysiology with flow cytometry-based biomarker discovery and AI-enabled analytical approaches. We discuss translational applications in AKI-relevant clinical settings, including trauma, hemorrhagic shock, sepsis, and radiation-combined injury, with particular emphasis on Prolonged Casualty Care and other austere environments, where rapid, mechanism-based diagnostics are critically needed.<\/jats:p>","DOI":"10.3390\/ijms27198450","type":"journal-article","created":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T13:32:12Z","timestamp":1790083932000},"page":"8450","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Flow Cytometry and AI-Driven Biomarker Discovery in Acute Kidney Injury: From Mechanistic Insights to Translation Applications in Clinical and Austere Environments"],"prefix":"10.3390","volume":"27","author":[{"given":"Shoulei","family":"Jiang","sequence":"first","affiliation":[{"name":"Blood and Shock Resuscitation, United States Army Institute of Surgical Research, JBSA, Fort Sam Houston, TX 78234, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael Adam","family":"Meledeo","sequence":"additional","affiliation":[{"name":"Blood and Shock Resuscitation, United States Army Institute of Surgical Research, JBSA, Fort Sam Houston, TX 78234, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaowu","family":"Wu","sequence":"additional","affiliation":[{"name":"Blood and Shock Resuscitation, United States Army Institute of Surgical Research, JBSA, Fort Sam Houston, TX 78234, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Barbara A.","family":"Christy","sequence":"additional","affiliation":[{"name":"Blood and Shock Resuscitation, United States Army Institute of Surgical Research, JBSA, Fort Sam Houston, TX 78234, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy S.","family":"Horseman","sequence":"additional","affiliation":[{"name":"Blood and Shock Resuscitation, United States Army Institute of Surgical Research, JBSA, Fort Sam Houston, TX 78234, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,9,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1038\/s41581-025-01030-4","article-title":"The global epidemiology of acute kidney injury: Challenges and opportunities","volume":"22","author":"Cerda","year":"2026","journal-title":"Nat. Rev. Nephrol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1949","DOI":"10.1016\/S0140-6736(19)32563-2","article-title":"Acute kidney injury","volume":"394","author":"Ronco","year":"2019","journal-title":"Lancet"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1056\/NEJMra1214243","article-title":"Acute kidney injury and chronic kidney disease as interconnected syndromes","volume":"371","author":"Chawla","year":"2014","journal-title":"N. Engl. J. Med."},{"key":"ref_4","first-page":"784","article-title":"Highlights of the Kidney Disease: Improving Global Outcomes (KDIGO) 2026 clinical practice guideline for acute kidney injury\/acute kidney disease","volume":"65","author":"Zhou","year":"2026","journal-title":"Zhonghua Nei Ke Za Zhi"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1097\/SHK.0000000000000052","article-title":"A unified theory of sepsis-induced acute kidney injury: Inflammation, microcirculatory dysfunction, bioenergetics, and the tubular cell adaptation to injury","volume":"41","author":"Gomez","year":"2014","journal-title":"Shock"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1681\/ASN.2015121376","article-title":"Ferroptosis, but Not Necroptosis, Is Important in Nephrotoxic Folic Acid-Induced AKI","volume":"28","author":"Poveda","year":"2017","journal-title":"J. Am. Soc. Nephrol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2689","DOI":"10.1681\/ASN.2014030262","article-title":"Regulated cell death in AKI","volume":"25","author":"Linkermann","year":"2014","journal-title":"J. Am. Soc. Nephrol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"12825","DOI":"10.2147\/JIR.S535701","article-title":"The Crucial Roles of Platelets as Immune Mediators in Sepsis","volume":"18","author":"Yang","year":"2025","journal-title":"J. Inflamm. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2383","DOI":"10.1161\/HYPERTENSIONAHA.124.21711","article-title":"Renal Medulla in Hypertension","volume":"81","author":"Cowley","year":"2024","journal-title":"Hypertension"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1038\/nm1565","article-title":"Platelet TLR4 activates neutrophil extracellular traps to ensnare bacteria in septic blood","volume":"13","author":"Clark","year":"2007","journal-title":"Nat. Med."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"R25","DOI":"10.1186\/cc12503","article-title":"Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury","volume":"17","author":"Kashani","year":"2013","journal-title":"Crit. Care"},{"key":"ref_12","first-page":"546","article-title":"Sepsis-induced acute kidney injury","volume":"22","author":"Gomez","year":"2016","journal-title":"Curr. Opin. Crit. Care"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1056\/NEJMoa1911481","article-title":"Soluble Urokinase Receptor and Acute Kidney Injury","volume":"382","author":"Hayek","year":"2020","journal-title":"N. Engl. J. Med."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1001\/2013.jamasurg.387","article-title":"The prospective, observational, multicenter, major trauma transfusion (PROMMTT) study: Comparative effectiveness of a time-varying treatment with competing risks","volume":"148","author":"Holcomb","year":"2013","journal-title":"JAMA Surg."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1186\/s13054-018-2265-9","article-title":"Prevalence and risk factors for acute kidney injury among trauma patients: A multicenter cohort study","volume":"22","author":"Harrois","year":"2018","journal-title":"Crit. Care"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1056\/NEJMra0801327","article-title":"Rhabdomyolysis and acute kidney injury","volume":"361","author":"Bosch","year":"2009","journal-title":"N. Engl. J. Med."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"e2019209","DOI":"10.1001\/jamanetworkopen.2020.19209","article-title":"Recommendations on Acute Kidney Injury Biomarkers From the Acute Disease Quality Initiative Consensus Conference: A Consensus Statement","volume":"3","author":"Ostermann","year":"2020","journal-title":"JAMA Netw. Open"},{"key":"ref_18","first-page":"550","article-title":"Drug-induced acute kidney injury: Diverse mechanisms of tubular injury","volume":"25","author":"Perazella","year":"2019","journal-title":"Curr. Opin. Crit. Care"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"S32","DOI":"10.1001\/dmp.2011.17","article-title":"Radiation injury after a nuclear detonation: Medical consequences and the need for scarce resources allocation","volume":"5","author":"DiCarlo","year":"2011","journal-title":"Disaster Med. Public Health Prep."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1016\/S0140-6736(19)30769-X","article-title":"Association between urinary dickkopf-3, acute kidney injury, and subsequent loss of kidney function in patients undergoing cardiac surgery: An observational cohort study","volume":"394","author":"Schunk","year":"2019","journal-title":"Lancet"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1231","DOI":"10.1016\/S0140-6736(05)74811-X","article-title":"Neutrophil gelatinase-associated lipocalin (NGAL) as a biomarker for acute renal injury after cardiac surgery","volume":"365","author":"Mishra","year":"2005","journal-title":"Lancet"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Basu, R.K., Kaddourah, A., Terrell, T., Mottes, T., Arnold, P., Jacobs, J., Andringa, J., and Goldstein, S.L. (2015). Assessment of Worldwide Acute Kidney Injury, Renal Angina and Epidemiology in critically ill children (AWARE): Study protocol for a prospective observational study. BMC Nephrol., 16.","DOI":"10.1186\/s12882-015-0016-6"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1164\/rccm.201401-0077OC","article-title":"Validation of cell-cycle arrest biomarkers for acute kidney injury using clinical adjudication","volume":"189","author":"Bihorac","year":"2014","journal-title":"Am. J. Respir. Crit. Care Med."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1093\/ndt\/gfv130","article-title":"Cell-cycle arrest and acute kidney injury: The light and the dark sides","volume":"31","author":"Kellum","year":"2016","journal-title":"Nephrol. Dial. Transpl."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1016\/j.celrep.2019.09.050","article-title":"Mitochondrial Damage Causes Inflammation via cGAS-STING Signaling in Acute Kidney Injury","volume":"29","author":"Maekawa","year":"2019","journal-title":"Cell Rep."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"784","DOI":"10.1016\/j.cmet.2019.08.003","article-title":"Mitochondrial Damage and Activation of the STING Pathway Lead to Renal Inflammation and Fibrosis","volume":"30","author":"Chung","year":"2019","journal-title":"Cell Metab."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"R31","DOI":"10.1186\/cc13724","article-title":"Platelet mitochondrial membrane depolarization reflects disease severity in patients with sepsis and correlates with clinical outcome","volume":"18","author":"Angstwurm","year":"2014","journal-title":"Crit. Care"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1038\/nrneph.2017.107","article-title":"Mitochondrial energetics in the kidney","volume":"13","author":"Bhargava","year":"2017","journal-title":"Nat. Rev. Nephrol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1038\/nature13909","article-title":"Ischaemic accumulation of succinate controls reperfusion injury through mitochondrial ROS","volume":"515","author":"Chouchani","year":"2014","journal-title":"Nature"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1042\/BJ20081386","article-title":"How mitochondria produce reactive oxygen species","volume":"417","author":"Murphy","year":"2009","journal-title":"Biochem. J."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"786","DOI":"10.21037\/atm-20-7828","article-title":"Circulating endothelial microparticles: A promising biomarker of acute kidney injury after cardiac surgery with cardiopulmonary bypass","volume":"9","author":"Ma","year":"2021","journal-title":"Ann. Transl. Med."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.semnephrol.2015.01.010","article-title":"Renal endothelial injury and microvascular dysfunction in acute kidney injury","volume":"35","author":"Verma","year":"2015","journal-title":"Semin. Nephrol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"F956","DOI":"10.1152\/ajprenal.00532.2014","article-title":"A microscopic view on the renal endothelial glycocalyx","volume":"308","author":"Dane","year":"2015","journal-title":"Am. J. Physiol. Ren. Physiol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"3034","DOI":"10.1097\/CCM.0b013e31825fdc31","article-title":"Angiopoietin-2 may contribute to multiple organ dysfunction and death in sepsis","volume":"40","author":"David","year":"2012","journal-title":"Crit. Care Med."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Casas, A., Mall\u00e9n, A., Blasco-Lucas, A., Sbraga, F., Guiteras, J., Bola\u00f1os, N., Casta\u00f1o, E., Torras, J., Cruzado, J.M., and Navarro, E. (2020). Chronic Kidney Disease-Associated Inflammation Increases the Risks of Acute Kidney Injury and Mortality after Cardiac Surgery. Int. J. Mol. Sci., 21.","DOI":"10.3390\/ijms21249689"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1535750","DOI":"10.1080\/20013078.2018.1535750","article-title":"Minimal information for studies of extracellular vesicles 2018 (MISEV2018): A position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines","volume":"7","author":"Witwer","year":"2018","journal-title":"J. Extracell. Vesicles"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2309","DOI":"10.1016\/j.ajpath.2015.04.010","article-title":"Human endothelial colony-forming cells protect against acute kidney injury: Role of exosomes","volume":"185","author":"Burger","year":"2015","journal-title":"Am. J. Pathol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1260","DOI":"10.1016\/j.ekir.2025.01.037","article-title":"Flow-Cytometric Quantification of Urine Kidney Epithelial Cells Specifically Reflects Tubular Damage in Acute Kidney Diseases","volume":"10","author":"Wagner","year":"2025","journal-title":"Kidney Int. Rep."},{"key":"ref_39","first-page":"125503","article-title":"Resident macrophages reprogram toward a developmental state after acute kidney injury","volume":"4","author":"Lever","year":"2019","journal-title":"J. Clin. Investig."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"e12404","DOI":"10.1002\/jev2.12404","article-title":"Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches","volume":"13","author":"Welsh","year":"2024","journal-title":"J. Extracell. Vesicles"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1038\/s41598-020-57700-9","article-title":"Elevated circulating CD14(++)CD16(+) intermediate monocytes are independently associated with extracardiac complications after cardiac surgery","volume":"10","author":"Mossanen","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1016\/j.kint.2016.08.006","article-title":"Release of extracellular DNA influences renal ischemia reperfusion injury by platelet activation and formation of neutrophil extracellular traps","volume":"91","author":"Jansen","year":"2017","journal-title":"Kidney Int."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1002\/cyto.a.24801","article-title":"Standardized high-dimensional spectral cytometry protocol and panels for whole blood immune phenotyping in clinical and translational studies","volume":"105","author":"Dott","year":"2024","journal-title":"Cytom. A"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1530\/EOR-2025-0055","article-title":"Crush injury and crush syndrome: A comprehensive review","volume":"10","author":"Akrivos","year":"2025","journal-title":"EFORT Open Rev."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1111\/ijlh.14098","article-title":"Full spectrum flow cytometry in the clinical laboratory","volume":"45","author":"Brestoff","year":"2023","journal-title":"Int. J. Lab. Hematol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1327","DOI":"10.21037\/tau-2024-677","article-title":"Identification of core genes in acute kidney injury: Evidence from multi-omics human transcriptomic data and in vivo models","volume":"14","author":"Sun","year":"2025","journal-title":"Transl. Androl. Urol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"818","DOI":"10.1177\/0885066620930994","article-title":"Risk of Acute Kidney Injury in Combat-Injured Patients Associated With Concomitant Vancomycin and Extended-Spectrum beta-Lactam Antibiotic Use","volume":"36","author":"Yabes","year":"2021","journal-title":"J. Intensive Care Med."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1097\/MNH.0000000000000764","article-title":"Novel monitoring of renal function and medication levels in saliva and capillary blood of patients with kidney disease","volume":"31","author":"Beshay","year":"2022","journal-title":"Curr. Opin. Nephrol. Hypertens."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Rakhilin, N., Morris, H.D., Pham, D.L., Hood, M.N., and Ho, V.B. (2025). Opportunities for Artificial Intelligence in Operational Medicine: Lessons from the United States Military. Bioengineering, 12.","DOI":"10.3390\/bioengineering12050519"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1093\/milmed\/usad142","article-title":"Legal Performance-enhancing Drugs Alter Course and Treatment of Rhabdomyolysis-induced Acute Kidney Injury","volume":"188","author":"Hebert","year":"2023","journal-title":"Mil. Med."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1038\/s41586-019-1390-1","article-title":"A clinically applicable approach to continuous prediction of future acute kidney injury","volume":"572","author":"Glorot","year":"2019","journal-title":"Nature"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2708","DOI":"10.1002\/eji.202170126","article-title":"Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)","volume":"51","author":"Cossarizza","year":"2021","journal-title":"Eur. J. Immunol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"100825","DOI":"10.1016\/j.curtheres.2026.100825","article-title":"The Berberine Derivative BBR684 Inhibits VDAC Oligomerization to Suppress Ferroptosis in Acute Kidney Injury","volume":"104","author":"Jiang","year":"2026","journal-title":"Curr. Ther. Res. Clin. Exp."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1038\/nbt.4314","article-title":"Dimensionality reduction for visualizing single-cell data using UMAP","volume":"37","author":"Becht","year":"2018","journal-title":"Nat. Biotechnol."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"863","DOI":"10.1164\/rccm.201807-1346OC","article-title":"Identification of Acute Kidney Injury Subphenotypes with Differing Molecular Signatures and Responses to Vasopressin Therapy","volume":"199","author":"Bhatraju","year":"2019","journal-title":"Am. J. Respir. Crit. Care Med."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"716","DOI":"10.2215\/CJN.0000000000000156","article-title":"Joint Modeling of Clinical and Biomarker Data in Acute Kidney Injury Defines Unique Subphenotypes with Differing Outcomes","volume":"18","author":"Oh","year":"2023","journal-title":"Clin. J. Am. Soc. Nephrol."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1186\/s13054-019-2563-x","article-title":"Machine learning versus physicians\u2019 prediction of acute kidney injury in critically ill adults: A prospective evaluation of the AKIpredictor","volume":"23","author":"Flechet","year":"2019","journal-title":"Crit. Care"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1097\/CCM.0000000000003123","article-title":"The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model","volume":"46","author":"Koyner","year":"2018","journal-title":"Crit. Care Med."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Simonov, M., Ugwuowo, U., Moreira, E., Yamamoto, Y., Biswas, A., Martin, M., Testani, J., and Wilson, F.P. (2019). A simple real-time model for predicting acute kidney injury in hospitalized patients in the US: A descriptive modeling study. PLoS Med., 16.","DOI":"10.1371\/journal.pmed.1002861"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"E521","DOI":"10.1208\/aapsj080362","article-title":"Mitochondria-targeted peptide antioxidants: Novel neuroprotective agents","volume":"8","author":"Szeto","year":"2006","journal-title":"AAPS J."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"880","DOI":"10.1080\/15548627.2017.1405880","article-title":"PINK1-PRKN\/PARK2 pathway of mitophagy is activated to protect against renal ischemia-reperfusion injury","volume":"14","author":"Tang","year":"2018","journal-title":"Autophagy"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"F1","DOI":"10.1152\/ajprenal.00012.2023","article-title":"Autophagy and mitophagy: Physiological implications in kidney inflammation and diseases","volume":"325","author":"Bhatia","year":"2023","journal-title":"Am. J. Physiol. Ren. Physiol."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1038\/s41746-020-00323-1","article-title":"The future of digital health with federated learning","volume":"3","author":"Rieke","year":"2020","journal-title":"npj Digit. Med."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Rajendran, S., Xu, Z., Pan, W., Ghosh, A., and Wang, F. (2023). Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care. PLoS Digit. Health, 2.","DOI":"10.1371\/journal.pdig.0000117"},{"key":"ref_65","first-page":"1086","article-title":"KIT-LSTM: Knowledge-guided Time-aware LSTM for Continuous Clinical Risk Prediction","volume":"2022","author":"Liu","year":"2022","journal-title":"Proc. (IEEE Int Conf Bioinform. Biomed)"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.kint.2016.03.031","article-title":"A sustained quality improvement program reduces nephrotoxic medication-associated acute kidney injury","volume":"90","author":"Goldstein","year":"2016","journal-title":"Kidney Int."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1038\/ni.3006","article-title":"High-dimensional analysis of the murine myeloid cell system","volume":"15","author":"Becher","year":"2014","journal-title":"Nat. Immunol."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1002\/cyto.a.22625","article-title":"FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data","volume":"87","author":"Callebaut","year":"2015","journal-title":"Cytom. A"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.cell.2015.05.047","article-title":"Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis","volume":"162","author":"Levine","year":"2015","journal-title":"Cell"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1038\/s41576-019-0122-6","article-title":"Deep learning: New computational modelling techniques for genomics","volume":"20","author":"Eraslan","year":"2019","journal-title":"Nat. Rev. Genet."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"S135","DOI":"10.1016\/j.wem.2017.02.001","article-title":"Prolonged Field Care: Beyond the \u201cGolden Hour\u201d","volume":"28","author":"Keenan","year":"2017","journal-title":"Wilderness Environ. Med."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1186\/s13578-019-0286-y","article-title":"Radiation: A poly-traumatic hit leading to multi-organ injury","volume":"9","author":"Kiang","year":"2019","journal-title":"Cell Biosci."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Shaoqun, T., Xi, Y., Wei, W., Yaru, L., Shaoqing, L., Zhen, Q., Yanlin, Y., Qian, S., and Zhongyuan, X. (2025). Neutrophil extracellular traps-related genes contribute to sepsis-associated acute kidney injury. BMC Nephrol., 26.","DOI":"10.1186\/s12882-025-04126-y"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1093\/ckj\/sfae265","article-title":"New approaches to acute kidney injury","volume":"17","author":"Noel","year":"2024","journal-title":"Clin. Kidney J."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1038\/s41572-021-00284-z","article-title":"Acute kidney injury","volume":"7","author":"Kellum","year":"2021","journal-title":"Nat. Rev. Dis. Primers"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"1753","DOI":"10.1681\/ASN.2016080925","article-title":"Histones and Neutrophil Extracellular Traps Enhance Tubular Necrosis and Remote Organ Injury in Ischemic AKI","volume":"28","author":"Nakazawa","year":"2017","journal-title":"J. Am. Soc. Nephrol."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1093\/ndt\/gfad199","article-title":"Single-cell RNA sequencing identifies senescence as therapeutic target in rhabdomyolysis-induced acute kidney injury","volume":"39","author":"Rao","year":"2024","journal-title":"Nephrol. Dial. Transpl."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"149744","DOI":"10.1016\/j.bbrc.2024.149744","article-title":"Cellular senescence in acute kidney injury: Target and opportunity","volume":"706","author":"Li","year":"2024","journal-title":"Biochem. Biophys. Res. Commun."},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Battaglia-Vieni, A., Marchant, V., Tejedor-Santamaria, L., Garc\u00eda-Caballero, C., Flores-Salguero, E., Ruiz-Torres, M.P., Rayego-Mateos, S., Sanz, A.B., Ortiz, A., and Ruiz-Ortega, M. (2025). Dasatinib and Quercetin Combination Increased Kidney Damage in Acute Folic Acid-Induced Experimental Nephropathy. 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