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Clinical utility of hematological parameters in aplastic anemia.
Sci Rep
January 2025
Department of Laboratory Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China.
Hematological parameters available on automated hematology analyzers have been shown to be useful indicators for hematological disorders. However, extensive studies especially in aplastic anemia for these indices are sparse. Our aim was to investigate the clinical utility of hematological parameters in aplastic anemia.
View Article and Find Full Text PDFPerformance of the automated digital cell image analyzer UIMD PBIA in white blood cell classification: a comparative study with sysmex DI-60.
Clin Chem Lab Med
January 2025
Department of Laboratory Medicine, Soonchunhyang University Cheonan Hospital, Soonchunhyang University College of Medicine, Cheonan, Republic of Korea.
Objectives: This study aimed to evaluate the performance of PBIA (UIMD, Seoul, Republic of Korea), an automated digital morphology analyzer using deep learning, for white blood cell (WBC) classification in peripheral blood smears and compare it with the widely used DI-60 (Sysmex, Kobe, Japan).
Methods: A total of 461 slides were analyzed using PBIA and DI-60. For each instrument, pre-classification performance was evaluated on the basis of post-classification results verified by users.
Comment on "Pathogenesis-Guided Rational Engineering of Nanotherapies for the Targeted Treatment of Abdominal Aortic Aneurysm by Inhibiting Neutrophilic Inflammation".
ACS Nano
January 2025
Centre for Transplant and Renal Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales 2145, Australia.
Prediction of Prostate Cancer From Routine Laboratory Markers With Automated Machine Learning.
J Clin Lab Anal
January 2025
Department of Medical Biochemistry, University of Health Sciences, Bursa Yuksek Ihtisas Training and Research Hospital, Bursa, Turkey.
Background: In this study, we attempted to select the optimum cases for a prostate biopsy based on routine laboratory test results in addition to prostate-specific antigen (PSA) blood test using H2O automated machine learning (AutoML) software, which includes many common machine learning algorithms.
Methods: The study included 737 patients (46-88 years old). Routine laboratory measurements were used to train machine learning models using H2O AutoML.
Peripheral blood biomarkers as differential diagnostic markers of disease severity in neonates with hyperbilirubinemia.
Heliyon
January 2025
Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Background: Blood biomarkers offers an independent insight for the pathophysiology of hyperbilirubinemia. However, they are not practically used for the differential diagnosis of the hyperbilirubinemia severity. Therefore, the current study aimed to assess the differential diagnostic value of peripheral blood biomarkers with disease severity as an alternative.
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