Notes

Microbe infections in severely ill people using SARS-2-COVID-19 an infection: connection between a potential observational multicenter review.
1% ± 2.0; p less then 0.0003 from a one-way ANOVA). The mean error rates also increased considerably using the raw fMRI 3D volume data without preprocessing (26.2% for the 3D-CNN, 75.0% for the 1D-fcDNN, and 75.0% for the SVM). Furthermore, the ability of the pre-trained 3D-CNN model to handle shifted and scaled neuronal activations was demonstrated in an online scenario for five-class classification (i.e., four sensorimotor tasks and the resting state) using the real-time fMRI of three participants. The resulting classification accuracy was 78.5% (± 1.4), 26.7% (± 5.9), and 21.5% (± 3.1) for the 3D-CNN, 1D-fcDNN, and SVM models, respectively. The superior performance of the 3D-CNN compared to the 1D-fcDNN was verified by analyzing the resulting feature maps and convolution filters that handled the shifted and scaled neuronal activations and by utilizing an independent public dataset from the Human Connectome Project.
Chronic viral hepatitis is a leading cause of worldwide liver-related morbidity and mortality, despite the availability of effective treatments that reduce or prevent complications in most patients. Electronic-health (eHealth) technologies have potential to intervene along the whole cascade of care. We aimed to summarize available literature on eHealth interventions with respect to conventional screening, diagnostic and treatment outcomes in chronic hepatitis B (HBV) and hepatitis C (HCV).

We systematically reviewed MEDLINE, EMBASE, Cochrane Library and international conference abstracts, including studies published from 2009 - 2020. Overall 80 studies were included, covering electronic medical record (EMR) interventions (n=39), telemedicine (n=20), mHealth (n=5), devices (n=4), clinical decision support (n=3), web-based (n=5), social media (n=1) and electronic communication (n=3).

Compared to standard care, EMR alerts increase screening rates in eligible populations including birth cohort screening in HCV, universal HCV screening in Emergency Departments, ethnic groups with high HBV prevalence, and HBV screening prior to immunosuppression. Direct messaging alerts to providers and automated testing may have a greater effect. No significant difference was found in sustained virological response outcomes between telemedicine and face-to-face management for community, rural and prison cohorts in HCV in the direct acting antiviral era of treatment, with higher patient satisfaction in telemedicine groups.

EMR alerts significantly increase screening rates in eligible cohorts in both chronic HBV and HCV. Telemedicine is equally efficacious to face-to-face care in HCV treatment. Other eHealth technologies show promise; however rigorous studies are lacking.
EMR alerts significantly increase screening rates in eligible cohorts in both chronic HBV and HCV. Telemedicine is equally efficacious to face-to-face care in HCV treatment. Other eHealth technologies show promise; however rigorous studies are lacking.Idiopathic pulmonary fibrosis (IPF) is an interstitial lung disease (ILD) sharing various genetic, molecular and cell processes with lung cancer (LC). Nintedanib, a tyrosine-kinase inhibitor, was first developed as an anticancer drug because it suppresses angiogenesis. It was then recognized as an anti-fibrotic agent and approved for the treatment of IPF. On the basis of in vitro studies of the drug, we performed a bioinformatic analysis of all targeted tyrosine kinases with the aim of highlighting common molecular pathways modulated by the drug in LC and IPF. The results show that MAPK, PI3K/AKT, JAK/STAT, TGF-β, VEGF and WNT/β-catenin signalling are the main molecular pathways modulated by the drug. Interestingly, these pathways include that controlled by intercellular adherence junctions (compromised in LC and IPF), and by central carbon metabolism (usually studied more in relation to the pathogenesis of cancer than IPF). On the basis of the tyrosine kinases considered, our bioinformatic analysis highlighted five microRNAs influencing VEGF-A signalling and epithelial to mesenchymal transition mechanisms. Comparison of our results with those of previous studies highlighted correlations between microRNAs and the development of LC and IPF.
Optical coherence tomography (OCT) is a useful tool for the evaluation of structure and function of the kidney, but the image quality can be effected by many factors.

The objective of this study was to assess the image quality of different OCT systems in OCT imaging of the living kidney.

One swept-source OCT (SSOCT) of 1300 nm, one spectral domain OCT (SDOCT) of 1300 nm and another of 900 nm were used. A FeO phantom was used to establish the point spread function (PSF). Rat kidneys were imaged for image quality assessment. Light penetration in the kidney and the optical attenuation coefficient were also evaluated. The quantification of uriniferous tubules was carried out via the threshold segmentation of 3D OCT images.

The quality of kidney images was resolution dependent. SDOCT of 900 nm showed higher peak signal-to noise ratio and dynamic range. The spatial resolution in the light field could be derived from the PSF distribution along three mutually orthogonal axes. In conjunction with the PSF, the Lucy-Richardson algorithm could improve image quality but could not reveal more microstructural information. The penetration depth of 1300 nm was deeper than that of 900 nm. The attenuation coefficient of the kidney was 29 cm
at 1300 nm and 50 cm
at 900 nm (P < 0.001). More accurate measurement of uriniferous tubules was achieved with the SDOCT-900 due to its higher resolution.

Both SSOCT and SDOCT systems could be useful for imaging uriniferous tubules in the superficial layers of the cortex. The OCT image quality was highly correlated with the spatial resolution of OCT system.
Both SSOCT and SDOCT systems could be useful for imaging uriniferous tubules in the superficial layers of the cortex. The OCT image quality was highly correlated with the spatial resolution of OCT system.Bacterial blight is caused by the pathogen Xanthomonas oryzae pv. oryzae (Xoo). Genome scale integrative analysis on the interaction of high and low temperatures on the molecular response signature in rice during the Xoo infection has not been conducted yet. We have analysed a unique RNA-Seq dataset generated on the susceptible rice variety IR24 under combined exposure of Xoo with low 29/21 °C (day/night) and high 35/31 °C (day/night) temperatures. Differentially regulated key genes and pathways in rice plants during both the stress conditions were identified. MER-29 cell line Differential dynamics of the regulatory network topology showed that WRKY and ERF families of transcription factors play a crucial role during signal crosstalk events in rice plants while responding to combined exposure of Xoo with low temperature vs. Xoo with high temperatures. Our study suggests that upon onset of high temperature, rice plants tend to switch its focus from defence response towards growth and reproduction.
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