Teledentistry: An Innovative Workforce Model for Dental Hygienists

Objective/Aims: This review of literature seeks to explore teledentistry as an alternative dental hygiene workforce model that places a dental hygienist in the role of the mid-level practitioner as part of a digitally-connected oral healthcare team. It will also emphasize the innovative methods of teledentistry giving better health care delivery to diverse populations. Methods: The review of literature analyzed the conclusions and discussions of primary and secondary scholarly articles from PubMed, Google Scholar, Embase, and CINAHL. Specific key terms included teledentistry, telehealth, teleconsultation, dental hygiene, dentistry, workforce model, health care delivery. Articles included in this review were published within the five last years. Results: Multiple scholarly articles were compiled together to emphasize the importance of technology-centered dental health care for patients who were unable to travel long distances to retrieve the care they were seeking, Key limitations the research often indicated include geographic, socioeconomic barriers or distance. Conclusion: The teledentistry-assisted model presents one way to answer the call to expand overall access to oral healthcare. The comparison of articles supported the efficiency and cost-effectiveness method of teledentistry in comparison to face to face consultations. Teledentistry is especially beneficial to addressing the access to care issue particularly populations in rural areas and even penitentiary institutions.https://scholarscompass.vcu.edu/denh_student/1025/thumbnail.jp

Diagnosis and management of eosinophilic asthma: a US perspective.

Eosinophilic asthma is now recognized as an important subphenotype of asthma based on the pattern of inflammatory cellular infiltrate in the airway. Eosinophilic asthma can be associated with increased asthma severity, atopy, late-onset disease, and steroid refractoriness. Induced sputum cell count is the gold standard for identifying eosinophilic inflammation in asthma although several noninvasive biomarkers, including fractional exhaled nitric oxide and periostin, are emerging as potential surrogates. As novel therapies and biologic agents become increasingly available, there is an increased need for specific phenotype-directed treatment strategies. Greater recognition and understanding of the unique immunopathology of this asthma phenotype has important implications for management of the disease and the potential to improve patient outcomes. The present review provides a summary of the clinical features, pathogenesis, diagnosis, and management of eosinophilic asthma

Transcription factor target prediction using multiple short expression time series from Arabidopsis thaliana

BACKGROUND: The central role of transcription factors (TFs) in higher eukaryotes has led to much interest in deciphering transcriptional regulatory interactions. Even in the best case, experimental identification of TF target genes is error prone, and has been shown to be improved by considering additional forms of evidence such as expression data. Previous expression based methods have not explicitly tried to associate TFs with their targets and therefore largely ignored the treatment specific and time dependent nature of transcription regulation. RESULTS: In this study we introduce CERMT, Covariance based Extraction of Regulatory targets using Multiple Time series. Using simulated and real data we show that using multiple expression time series, selecting treatments in which the TF responds, allowing time shifts between TFs and their targets and using covariance to identify highly responding genes appear to be a good strategy. We applied our method to published TF - target gene relationships determined using expression profiling on TF mutants and show that in most cases we obtain significant target gene enrichment and in half of the cases this is sufficient to deliver a usable list of high-confidence target genes. CONCLUSION: CERMT could be immediately useful in refining possible target genes of candidate TFs using publicly available data, particularly for organisms lacking comprehensive TF binding data. In the future, we believe its incorporation with other forms of evidence may improve integrative genome-wide predictions of transcriptional networks

Type 2 Innate Lymphoid Cells in Allergic Disease.

Type II innate lymphoid cells (ILC2) are a novel population of lineage-negative cells that produce high levels of Th2 cytokines IL-5 and IL-13. ILC2 are found in human respiratory and gastrointestinal tissue as well as in skin. Studies from mouse models of asthma and atopic dermatitis suggest a role for ILC2 in promoting allergic inflammation. The epithelial cytokines IL-25, IL-33, and TSLP, as well as the lipid mediator leukotriene D4, have been shown to potently activate ILC2 under specific conditions and supporting the notion that many separate pathways in allergic disease may result in stimulation of ILC2. Ongoing investigations are required to better characterize the relative contribution of ILC2 in allergic inflammation as well as mechanisms by which other cell types including conventional T cells regulate ILC2 survival, proliferation, and cytokine production. Importantly, therapeutic strategies to target ILC2 may reduce allergic inflammation in afflicted individuals. This review summarizes the development, surface marker profile, cytokine production, and upstream regulation of ILC2, and focuses on the role of ILC2 in common allergic diseases

Stanford automatic photogrammetry research

A feasibility study on the problem of computer automated aerial/orbital photogrammetry is documented. The techniques investigated were based on correlation matching of small areas in digitized pairs of stereo images taken from high altitude or planetary orbit, with the objective of deriving a 3-dimensional model for the surface of a planet