Table 1_Serum proteomics and machine learning identify PSMD11 as a prognostic biomarker in severe fever with thrombocytopenia syndrome.docx

Table 1_Serum proteomics and machine learning identify PSMD11 as a prognostic biomarker in severe fever with thrombocytopenia syndrome.docx

Background<p>Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne viral disease associated with high mortality. This study aimed to characterize serum proteomic signatures linked to adverse outcomes and to identify prognostic biomarkers with potential translational valu...

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Main Author: Chenxi Zhao (5557568) (author)
Other Authors: Ziruo Ge (8039111) (author), Ranran Wang (476935) (author), Yanli Xu (1456912) (author), Tingyu Zhang (9300458) (author), Zhouling Jiang (17753835) (author), Lu Liu (171341) (author), Ling Lin (57361) (author), Zhihai Chen (16136) (author)
Published: 2025
Subjects:
Genetic Immunology
severe fever with thrombocytopenia syndrome
proteomics
machine learning
PSMD11
SHAP
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