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Severe Fever with Thrombocytopenia Syndrome

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Time-Course Transcriptome Analysis Reveals Distinct Phases and Identifies Two Key Genes during Severe Fever with Thrombocytopenia Syndrome Virus Infection in PMA-Induced THP-1 Cells.

Viruses 38257759
In recent years, there have been significant advancements in the research of Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV). However, several limitations and challenges still exist. For instance, researchers face constraints regarding expe...
Cluster Analysis Gene Expression Profiling Humans Severe Fever with Thrombocytopenia Syndrome THP-1 Cells Transcriptome
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Estimating severe fever with thrombocytopenia syndrome transmission using machine learning methods in South Korea.

Scientific reports 34750465
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne infectious disease in China, Japan, and Korea. This study aimed to estimate the monthly SFTS occurrence and the monthly number of SFTS cases in the geographical area in Kore...
Aged Climate Computer Simulation Epidemiological Models Female Humans Machine Learning Male Middle Aged Mountaineering Regression Analysis Republic of Korea Risk Factors Severe Fever with Thrombocytopenia Syndrome Travel-Related Illness
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Identification of early prognostic biomarkers in Severe Fever with Thrombocytopenia Syndrome using machine learning algorithms.

Annals of medicine 39803909
OBJECTIVE: We aimed at identifying acute phase biomarkers in Severe Fever with Thrombocytopenia Syndrome (SFTS), and to establish a model to predict mortality outcomes.
Adult Aged Algorithms Biomarkers Disease Progression Female Humans Machine Learning Male Middle Aged Prognosis Retrospective Studies Severe Fever with Thrombocytopenia Syndrome
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