A5067370045- Data-Driven Disease Surveillance
- Respiratory viral infections research
- Extracellular vesicles in disease
- Immune cells in cancer
- Sentiment Analysis and Opinion Mining
- Animal Disease Management and Epidemiology
- Inflammasome and immune disorders
- MicroRNA in disease regulation
- Hate Speech and Cyberbullying Detection
- Adipokines, Inflammation, and Metabolic Diseases
- Pancreatic and Hepatic Oncology Research
- Text and Document Classification Technologies
- Liver Disease Diagnosis and Treatment
- Wikis in Education and Collaboration
- Adipose Tissue and Metabolism
- Pancreatitis Pathology and Treatment
- Congenital Diaphragmatic Hernia Studies
PLA Academy of Military Science
2024
Chinese People's Liberation Army
2024
Worcester Polytechnic Institute
2023-2024
People's Liberation Army No. 150 Hospital
2024
Abstract The role of mesenchymal‐stem‐cell‐derived exosomes (MSCs‐Exo) in the regulation macrophage polarization has been recognized several diseases. There is emerging evidence that MSCs‐Exo partially prevent progression diabetic nephropathy (DN). This study aimed to investigate whether secreted by MSCs pre‐treated with a environment (Exo‐pre) have more pronounced protective effect against DN regulating balance macrophages. Exo‐pre and Exo‐Con were isolated from culture medium UC‐MSCs mimic...
Infusion of mesenchymal stem cells (MSCs) induces polarization M2 macrophages in adipose tissue type 2 diabetes (T2D) mice. Studies have shown that were divided into four sub-phenotypes (M2a, M2b, M2c and M2d) with different functions, manuscripts also confirmed co-cultured MSCs not matched known phenotype macrophages. Therefore, our study explored the related gene expressions T2D mice with/without infusion.
BackgroundPrevious studies showed that MSCs could mitigate damage in the pancreas during acute pancreatitis (AP). However, mortality associated with AP was more often a result of persistent failure remote organs, rather than local damage, especially severe (SAP), and effect may vary depending on their origin.MethodsAn SAP model induced 8-week C57BL/6 J male mice by retrograde injection 5 % sodium taurocholate solution through bile duct. were divided into group, UC-MSCs BMSCs which treated...
Foodborne illnesses significantly impact public health. Deep learning surveillance applications using social media data aim to detect early warning signals. However, labeling foodborne illness-related tweets for model training requires extensive human resources, making it challenging collect a sufficient number of high-quality labels within limited budget. The severe class imbalance resulting from the scarcity among vast volume further exacerbates problem. Classifiers trained on...
Foodborne illnesses significantly impact public health. Deep learning surveillance applications using social media data aim to detect early warning signals. However, labeling foodborne illness-related tweets for model training requires extensive human resources, making it challenging collect a sufficient number of high-quality labels within limited budget. The severe class imbalance resulting from the scarcity among vast volume further exacerbates problem. Classifiers trained on...
Foodborne illness is a serious but preventable public health problem -- with delays in detecting the associated outbreaks resulting productivity loss, expensive recalls, safety hazards, and even loss of life. While social media promising source for identifying unreported foodborne illnesses, there dearth labeled datasets developing effective outbreak detection models. To accelerate development machine learning-based models detection, we thus present TWEET-FID (TWEET-Foodborne Illness...