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http://dx.doi.org/10.1016/0009-8981(91)90037-d | DOI Listing |
Neuroreport
January 2025
Department of Neurology, the Second Affiliated Hospital of Guizhou Medical University, Kaili, Guizhou Province, China.
J Clin Lab Anal
December 2024
Servicio de Nefrologia, Hospital Universitario de Badajoz, Universidad de Extremadura, Badajoz, Spain.
Aims: Serum creatinine and albuminuria are the core of most CKD prediction and progression risk models. Several biomarkers have been introduced to improve these results such as beta-2-microglobulin (B2M) and cystatin C (CysC). Nevertheless, few clinical comparisons of these biomarkers are available.
View Article and Find Full Text PDFCPT Pharmacometrics Syst Pharmacol
December 2024
INSERM, IAME, Université Paris Cité, Paris, France.
Medicina (Kaunas)
November 2024
Department of Medical Oncology, Faculty of Medicine, Çukurova University, 01250 Adana, Turkey.
: One of the most critical problems regarding sarcopenia is the difficulty of the diagnosis process. This study aimed to determine the prevalence and investigate the role of serum beta-2 microglobulin level as a biomarker for diagnosing sarcopenia. : This nested case-control study was conducted between 2023 and 2024 on 251 older adults.
View Article and Find Full Text PDFPeerJ
November 2024
Department of Laboratory Medicine, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Background: Plasma cell dyscrasias encompass a diverse set of disorders, where early and precise diagnosis is essential for optimizing patient outcomes. Despite advancements, current diagnostic methodologies remain underutilized in applying artificial intelligence (AI) to routine laboratory data. This study seeks to construct an AI-driven model leveraging standard laboratory parameters to enhance diagnostic accuracy and classification efficiency in plasma cell dyscrasias.
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