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Talanta|October 14, 2015
Paper-based ELISA to rapidly detect Escherichia coliCheng-Min Shih, Chia-Ling Chang, Min-Yen Hsu, et al.
Health Information Science and Systems|October 12, 2023
Federated machine learning for predicting acute kidney injury in critically ill patients: a multicenter study in TaiwanChun-Te Huang, Tsai-Jung Wang, Li-Kuo Kuo, et al.
Medicine|November 19, 2022
Patterns of biopsy-proven renal diseases in geriatric patients: A single medical center experienceYung-Chieh Huang, Mei-Chin Wen, Ming-Ju Wu, et al.
Critical Care (London, England)|November 12, 2022
Comparative accuracy of biomarkers for the prediction of hospital-acquired acute kidney injury: a systematic review and meta-analysisHeng-Chih Pan, Shao-Yu Yang, Terry Ting-Yu Chiou, et al.
Nephrology (Carlton, Vic.)|August 23, 2016
Nationwide epidemiology and prognosis of dialysis-requiring acute kidney injury (NEP-AKI-D) study: Design and methodsChih-Chung Shiao, Pei-Chen Wu, Vin-Cent Wu, et al.
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