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In recent years, mRNA-based vaccines have emerged to be a great alternative to DNA-based vaccines due to the safety of not inserting into host genome. However, mRNA molecules are single-stranded nucleic acids that are vulnerable under RNase existing in human skin and tissues. In this study, a self-assembled cationic nanomicelles based on(More)
Millions of patients are affected by adverse drug reactions (ADRs) every year. It represents a substantial burden on healthcare resources. Pharmacovigilance using text and data analytics has drawn substantial attention in the recent years. These techniques are mainly extracting the associations between drugs and ADRs using data sources such as spontaneous(More)
Drug repositioning represents the application of known drugs for new indications and plays an important role in healthcare research and industry. With its increasing value in drug development, multiple approaches have been applied in its exercise, basically classified as drug-based and diseasebased approaches. Our study adopted a disease-based approach and(More)
Facing the threat of highly variable virus infection, versatile vaccination systems are urgently needed. Intranasal mRNA vaccination provides a flexible and convenient approach. However, the nasal epithelium remains a major biological barrier to deliver antigens to nasal associated lymphoid tissue (NALT). To address this issue, a potent polymer-based(More)
Social media represents a promising strategy to deliver and engage participants in smoking cessation intervention. Previous analyses have highlighted the potential of this medium as a resource for requesting or offering information, discussing smoking [1], and exchanging social support [2] in the context of a public quit smoking Facebook page. Here, we used(More)
User-generated content on social media sites, such as health-related online forums, offers researchers a tantalizing amount of information, but concerns regarding scientific application of such data remain. This paper compares and contrasts symptom cluster patterns derived from messages on a breast cancer forum with those from a symptom checklist completed(More)
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