AIMC Topic: Paraproteinemias
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Quantitative abnormalities in the β-region of the electrophoretic profile of serum proteins as predictive markers of monoclonality: Machine learning for monoclonality prediction.
Clinical biochemistry
Feb 1, 2025
OBJECTIVE OF THE STUDY: To develop a machine learning algorithm aimed at predicting the presence of a monoclonal (M-) protein when the β-globulin fraction is elevated.
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...
Accurate classification of plasma cell dyscrasias is achieved by combining artificial intelligence and flow cytometry.
British journal of haematology
Nov 3, 2021
Monoclonal gammopathy of unknown significance (MGUS), smouldering multiple myeloma (SMM), and multiple myeloma (MM) are very common neoplasms. However, it is often difficult to distinguish between these entities. In the present study, we aimed to cla...
Expert-Level Immunofixation Electrophoresis Image Recognition based on Explainable and Generalizable Deep Learning.
Clinical chemistry
Feb 1, 2023
BACKGROUND: Immunofixation electrophoresis (IFE) is important for diagnosis of plasma cell disorders (PCDs). Manual analysis of IFE images is time-consuming and potentially subjective. An artificial intelligence (AI) system for automatic and accurate...
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