AIMC Topic: beta 2-Microglobulin

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Data-driven cluster analysis identifies three clinical phenotypes in hemodialysis patients.

Renal failure Nov 20, 2025
Clinical heterogeneity among hemodialysis patients necessitates precision medicine approaches transcending conventional single-parameter management. Through machine learning analysis of 1,207 maintenance hemodialysis patients, we developed a novel tw...
Humans Machine Learning Phenotype Biomarkers Precision Medicine Female Aged Adult Cross-Sectional Studies Male Middle Aged Renal Dialysis Cluster Analysis Kidney Failure, Chronic Ferritins beta 2-Microglobulin
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Common laboratory results-based artificial intelligence analysis achieves accurate classification of plasma cell dyscrasias.

PeerJ Nov 4, 2024
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 artificia...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Female Aged Adult Male Middle Aged Support Vector Machine Decision Trees Creatinine Hemoglobins Paraproteinemias beta 2-Microglobulin
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