A5101996642- Cardiovascular Function and Risk Factors
- Cardiac Imaging and Diagnostics
- Cell Image Analysis Techniques
- SARS-CoV-2 and COVID-19 Research
- Long-Term Effects of COVID-19
- Single-cell and spatial transcriptomics
- COVID-19 Clinical Research Studies
- Atrial Fibrillation Management and Outcomes
- Advanced MRI Techniques and Applications
- Gene expression and cancer classification
State Key Laboratory of Oncogene and Related Genes
2020-2023
Renji Hospital
2020-2023
Shanghai Cancer Institute
2023
Shanghai Jiao Tong University
2023
ABSTRACT BACKGROUND Increasing attention has been paid to cardiac involvement in patients with coronavirus disease 2019 (COVID-19). Yet, scarce information is available regarding the morphological and functional features of impairments these patients. METHODS We conducted a prospective serial echocardiographic study investigate structural changes among COVID-19 admitted intensive care unit (ICU). From January 21 April 8, 2020, total 51 ICU (31 critically ill 20 severely ill) confirmed were...
Abstract In this study, we have devised a computational framework SuperFeat that allows for the training of machine learning model and evaluate canonical cellular states/features in pathological tissues underlie progression disease. This also enables identification potential drugs target presumed detrimental features. was constructed on basis an artificial neural network with gene expression profiles serving as input nodes. The data comprised single-cell RNA-seq datasets encompassed specific...
# High-sensitivity C-reactive protein as a predictor of atrial fibrillation recurrence after primary circumferential pulmonary vein isolation {#article-title-2} Background Atrial (AF) (CPVI) is difficult to predict. Inflammation associated with the development AF. Inflammatory markers, such high-sensitivity protein, are related AF via remodelling. However, it unknown whether plasma concentration before CPVI can be used for recurrence. Methods A total 121 patients without structural heart...