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An autoantibody signature predictive for multiple sclerosis

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May 1, 2024
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An autoantibody signature predictive for multiple sclerosis

No description provided.

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Multiple myeloma: 2024 update on diagnosis, risk‐stratification, and management

AbstractDisease overviewMultiple myeloma accounts for approximately 10% of hematologic malignancies.DiagnosisThe diagnosis requires ≥10% clonal bone marrow plasma cells or a biopsy proven plasmacyt...

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Proteomic signatures improve risk prediction for common and rare diseases

AbstractFor many diseases there are delays in diagnosis due to a lack of objective biomarkers for disease onset. Here, in 41,931 individuals from the United Kingdom Biobank Pharma Proteomics Projec...

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Skin Biopsy Detection of Phosphorylated α-Synuclein in Patients With Synucleinopathies

ImportanceFinding a reliable diagnostic biomarker for the disorders collectively known as synucleinopathies (Parkinson disease [PD], dementia with Lewy bodies [DLB], multiple system atrophy [MSA], ...

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APPLICATION OF MACHINE LEARNING FOR MASS CYTOMETRY DATA ANALYSIS OF CHRONIC LYMPHOCYTIC LEUKAEMIA

Mass cytometry is a powerful technique for quantifying intracellular and membrane proteins at single-cell resolution. However, the vast amount of data it generates requires advanced analytical meth...

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What is the core focus of the research titled 'An autoantibody signature predictive for multiple sclerosis'?

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Yes, highly correlated activity was mapped. An entry titled 'An autoantibody signature predictive for multiple sclerosis' discusses this: No description provided.

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    E-signatures API for your app averaging ~3¢ per envelope

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