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Deciphering Systemic Sclerosis Phenotypes: A Novel Approach Using Clustering Algorithms and Proteomic Insights. Results from the PRECISESADS Study.

2025-09-01

Abstract excerpt

<title>Abstract</title> <p>Background Systemic sclerosis (SSc) is a heterogeneous autoimmune disease with high mortality driven by multiorgan involvement and limited therapeutic options. Traditional classifications based on skin involvement or serology are insufficient to capture disease complexity or predict outcomes accurately. Objective To identify clinically and molecularly distinct subtypes of SSc using unsu...

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Literature Corpus work
30ea700a-a4ba-5fb8-9352-d2e277f268f8
DOI
10.21203/rs.3.rs-7109703/v1
Open publication

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Deciphering Systemic Sclerosis Phenotypes: A Novel Approach Using Clustering Algorithms and Proteomic Insights. Results from the PRECISESADS Study.DOI 10.21203/rs.3.rs-7109703/v1
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