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Data were analysed for the accompanying manuscript "Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) using multi-contrast MRI" including test-retest reliability and longitudinal Bayesian Linear Mixed Effects (LME) modelling.Instantaneous wave-free ratio (iFR) has been proposed as a hemodynamic parameter that can reliably reflect the blood flow in stenosed coronary arteries. Currently, there are few investigations on the quantitative analysis of iFR in the patients regarding the variation of microcirculatory resistance (MR). The data aim to provide geometric (cross-section area of branches) and hemodynamic (flow rate and iFR of branches) parameters of normal and stenosed coronary arteries derived from CFD simulation. The CFD simulation was performed on the three-dimensional artery models reconstructed from computed tomography (CT) images of four subjects. The hemodynamic parameters were obtained in six situations of MR to simulate coronary microvascular dysfunction (CMD). This dataset could be used as the reference to estimate the iFR and flow rate in patients with CMD and stenosis in coronary arteries. The geometric parameters could be used in the modelling of coronary arteries.The present article describes data from systematic review and meta-analysis investigating the efficacy and safety outcomes comparing mini-implants (MIs) and conventional anchorage reinforcement in patients with maximum dentoalveolar protrusion. All relevant RCTs and non-RCTs published up to 2018 were collected from PubMed, Embase and Cochrane database. Thirteen studies assessing the effect of mini-implants were included, of which 4 were randomized controlled trials (RCTs) and 9 observational studies. The efficacy parameters include mesiodistal movements of molars and incisors and vertical movements of molars and incisors. Whereas, the safety parameters were angular and linear measurement of soft tissue change. Subgroup analysis data was provided in terms of patients average age ( less then 18 years and ≥18 years) at the initiation of treatment. This dataset is suitable for research purpose in the field of orthodontics and also helps dental doctors to determine their treatment preferences in the choice of anchorage reinforcement.During the COVID-19 pandemic, rapid and accurate triage of patients at the emergency department is critical to inform decision-making. We propose a data-driven approach for automatic prediction of deterioration risk using a deep neural network that learns from chest X-ray images, and a gradient boosting model that learns from routine clinical variables. Our AI prognosis system, trained using data from 3,661 patients, achieves an AUC of 0.786 (95% CI 0.742-0.827) when predicting deterioration within 96 hours. The deep neural network extracts informative areas of chest X-ray images to assist clinicians in interpreting the predictions, and performs comparably to two radiologists in a reader study. In order to verify performance in a real clinical setting, we silently deployed a preliminary version of the deep neural network at NYU Langone Health during the first wave of the pandemic, which produced accurate predictions in real-time. In summary, our findings demonstrate the potential of the proposed system for assisting front-line physicians in the triage of COVID-19 patients.
Recognizing named entities (NER) and their associated attributes like negation are core tasks in natural language processing. However, manually labeling data for entity tasks is time consuming and expensive, creating barriers to using machine learning in new medical applications. Weakly supervised learning, which automatically builds imperfect training sets from low cost, less accurate labeling rules, offers a potential solution. Medical ontologies are compelling sources for generating labels, however combining multiple ontologies without ground truth data creates challenges due to label noise introduced by conflicting entity definitions. Key questions remain on the extent to which weakly supervised entity classification can be automated using ontologies, or how much additional task-specific rule engineering is required for state-of-the-art performance. Also unclear is how pre-trained language models, such as BioBERT, improve the ability to generalize from imperfectly labeled data.
We present Trove, a fra NER benchmark datasets and establish new baselines for two entity classification tasks in clinical text. We perform within an average of 3.5 F1 points (4.2%) of NER classifiers trained with hand-labeled data. Automatically learning label source accuracies to correct for label noise provided an average improvement of 3.9 F1 points. BioBERT provided an average improvement of 0.9 F1 points. We measure the impact of combining large numbers of ontologies and present a case study on rapidly building classifiers for COVID-19 clinical tasks. Our framework demonstrates how a wide range of medical entity classifiers can be quickly constructed using weak supervision and without requiring manually-labeled training data.Twenty-seven patients receiving prolonged inpatient antibiotic therapy for a serious bacterial infection received a single dose of dalbavancin 7-10 days before the planned end date to facilitate earlier hospital discharge. Eighty-one percent met criteria for clinical success, 7% experienced a potential adverse event, and 182 hospital days were averted.
The association between subclinical cytomegalovirus (CMV) replication and HIV persistence has not been investigated in cis-gender women with HIV.
Fifty virologically suppressed female participants with HIV were prospectively enrolled and provided oral, vaginal, and urine samples and peripheral blood mononuclear cells at 1 cross-sectional time point. CMV DNA was quantified in each specimen by real-time polymerase chain reaction (PCR). Cellular HIV DNA and HIV RNA transcripts (unspliced and multiply spliced [ms] encoding tat-rev) were quantified by droplet digital (dd) PCR in peripheral blood cells. Forty-nine male individuals with HIV and CMV (historical data) were used as controls.
Levels of cellular HIV DNA and unspliced HIV RNA were not different between sexes, but female participants had less detectable msHIV RNA and CMV DNA compared with males (both
< .01). selleck chemicals Unlike previously described for males, the presence of CMV DNA was not associated with increased HIV DNA in females. Among female participants, premenopausal status was independently associated with lower HIV DNA compared with postmenopause, after adjusting for nadir CD4 count (
< .01).
Female participants with HIV had reduced cellular HIV RNA and less subclinical CMV DNA compared with males but overall similar HIV DNA levels in our study. Postmenopausal status was independently associated with higher HIV DNA levels among female participants.
Female participants with HIV had reduced cellular HIV RNA and less subclinical CMV DNA compared with males but overall similar HIV DNA levels in our study. Postmenopausal status was independently associated with higher HIV DNA levels among female participants.Syndromic respiratory panels are increasingly used worldwide. Their performance for detection of Bordetella pertussis needs to be evaluated. We found that the FilmArray Respiratory Panel 2plus (RP2+) assay, which uses the pertussis toxin promoter target for B. pertussis, can only detect highly charged samples. Negative RP2+ results should not be interpreted as an absence of B. pertussis in clinical samples.Anaplasmosis is a now common tick-borne illness that is characterized by the presence of fever, myalgias, thrombocytopenia, and elevated liver function tests. We report 4 cases with an atypical presentation with pulmonary symptoms and imaging findings, along with the characteristics of each patient, clinical course, and response to therapy.
Although the number of patients with active tuberculosis (TB) has decreased in the last 25 years, anecdotal reports suggest that the complexity of these patients has increased. However, this complexity and its components have never been quantified or defined. We therefore aimed to describe the complexity of patients with active TB in California during 1993-2016.
We analyzed data on patient comorbidities, clinical features, and demographics from the California Department of Public Health TB Registry. All adult patients who were alive at the time of TB diagnosis in California during 1993-2016 were included in the analyses. Factors deemed by an expert panel to increase complexity (ie, increased resources or expertise requirement for successful management) were analyzed and included the following age >75 years, HIV infection, multidrug resistance (MDR), and extrapulmonary TB disease. link2 Second, using additional information on other comorbidities available starting in 2010, we performed exploratory factor anal of complexity in the setting of TB, we found that the complexity of patients with active TB has risen over the last 25 years in California. These findings suggest that despite the overall decline in active TB cases, effective management of more complex patients may require additional attention and resource investment.
Today, one of the biggest concerns of parents is protecting their children and properly educating them about sex. The aim of this study was to determine the effect of educational intervention on parental skills in sex education on their children in elementary schools in the northwest of Tehran-Iran in 2019 based on literature.
This quasi-experimental study was conducted on 125 parents of elementary schoolchildren in the northwestern of Tehran. The data were collected by valid and reliable questionnaire. Before the intervention, two intervention and control groups filled up the pretest questionnaire; the data were collected by valid and reliable questionnaire. Before the intervention, two intervention and control groups filled the pretest questionnaire, and then the parents participated in the educational program based on dramatic literature. Two months later, the same questionnaire was completed by the control and intervention groups. Finally, the data were analyzed by regression and one-way ANOVA test.
The results showed that there was a statistically significant difference between the mean scores of knowledge in the experimental and control groups in the posttest (
< 0.01). link3 There was also a statistically significant difference between the mean scores of attitude in the experimental and control groups at the posttest stage (
< 0.01). There was also a statistically significant difference between the mean scores of performance based on group membership (experimental group and control group) in the posttest phase (
< 0.01).
The findings of the study showed that educational intervention on parental skills in sex education based on the dramatic literature to their children has significant effect on parental knowledge, attitude, and performance.
The findings of the study showed that educational intervention on parental skills in sex education based on the dramatic literature to their children has significant effect on parental knowledge, attitude, and performance.
Homepage: https://www.selleckchem.com/products/Dihydroartemisinin(DHA).html
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