Locally Aggressive and Recurrent Facial Inflammatory Myofibroblastic Tumor in a Pediatric Patient.

Inflammatory myofibroblastic tumor (IMT) is a rare tumor type with a prognosis ranging from benign to locally aggressive. Initially described as a reactive lesion most commonly of the lungs, cases of IMT have now been reported in rare instances in the head and neck, which may be more aggressive than other tumor locations. IMT frequently afflicts children and adolescents, but pediatric cases of IMT in the head and neck region are rare.

Facilitating oral healthcare for children with disabilities in the Kingdom of Saudi Arabia: a qualitative exploration of the perceptions of parents and professionals.

Background: Children with disabilities worldwide experience disparities in oral health. Parents and children encounter challenges in accessing quality dental care. Similar challenges are experienced in Saudi Arabia.

Lymphoma follow-up pathway: A 10-year study to guide practice.

Purpose: Lymphoma survivors who have received curative intent treatment are currently followed up at defined time points in medical and nurse-led clinics often indefinitely. The follow up protocol is often at the discretion of the treating physician. The aim of the study was to explore the clinical, biochemical and radiological presentation of patients with Diffuse Large B-cell Lymphoma (DLBCL) and Hodgkin Lymphoma (HL) treated with curative intent at the point of recurrence from first remission, and to understand if recurrence was detected at scheduled follow up.

SARS-CoV-2 Illumina GeNome Assembly Line (SIGNAL), a Snakemate workflow for rapid and bulk analysis of Illumina sequencing of SARS-CoV-2 genomes.

The incorporation of sequencing technologies in frontline and public health healthcare settings was vital in developing virus surveillance programs during the Coronavirus Disease 2019 (COVID-19) pandemic caused by transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, increased data acquisition poses challenges for both rapid and accurate analyses. To overcome these hurdles, we developed the SARS-CoV-2 Illumina GeNome Assembly Line (SIGNAL) for quick bulk analyses of Illumina short-read sequencing data.

Mismatch negativity predicts age-related declines in memory precision.

Does precision in auditory perception predict precision in subsequent memory (i.e., mnemonic discrimination) in aging? This study examined if the mismatch negativity (MMN), an electrophysiological marker of change detection and encoding, relates to age differences in mnemonic discrimination.

Reimagining the Army Medical Corps: Five Ideas for Raising Recruitment, Restoring Retention, and Restructuring Requirements.

The Army Medical Corps comprises the physicians of the U.S. Army.

Phylosymbiosis and Elevated Cancer Risk in Genetically Depauperate Channel Island Foxes.

Examination of the host-associated microbiome in wildlife can provide critical insights into the eco-evolutionary factors driving species diversification and response to disease. This is particularly relevant for isolated populations lacking genomic variation, a phenomenon that is increasingly common as human activities create habitat 'islands' for wildlife. Here, we characterised the gut and otic microbial communities of one such species: Channel Island foxes (Urocyon littoralis).

Shigella sonnei: epidemiology, evolution, pathogenesis, resistance and host interactions.

Shigella sonnei is a major cause of diarrhoea globally and is increasing in prevalence relative to other Shigella because of multiple demographic and environmental influences. This single-serotype species has traditionally received less attention in comparison to Shigella flexneri and Shigella dysenteriae, which were more common in low-income countries and more tractable in the laboratory. In recent years, we have learned that Shigella are highly complex and highly susceptible to environmental change, as exemplified by epidemiological trends and increasing relevance of S.

A Miseducation: Perspectives on Sexuality Education from Black Women in the US South.

Over the last three decades, the receipt of formal sexuality education has declined, with half of adolescents nationwide receiving the minimum Healthy People standard of sexuality education from 2015 to 2019. Further, racial and geographic inequities in sexuality education remain, with Black women and girls more likely to receive abstinence-only-until-marriage instruction. We sought to describe Black women's sexual education in two southern states, North Carolina and Georgia.

Quantifying Overdiagnosis for Multicancer Detection Tests: A Novel Method.

Multicancer detection (MCD) tests use blood specimens to detect preclinical cancers. A major concern is overdiagnosis, the detection of preclinical cancer on screening that would not have developed into symptomatic cancer in the absence of screening. Because overdiagnosis can lead to unnecessary and harmful treatments, its quantification is important.

STRprofiler: efficient comparisons of short tandem repeat profiles for biomedical model authentication.

Summary: Short tandem repeat (STR) profiling is commonly performed for authentication of biomedical models of human origin, yet no tools exist to easily compare sets of STR profiles to each other or an existing database in a high-throughput manner. Here, we present STRprofiler, a Python package, command line tool, and Shiny application providing methods for STR profile comparison and cross-contamination detection. STRprofiler can be run with custom databases or used to query against the Cellosaurus cell line database.

Integrated responses of the SIP syncytium generate a major motility pattern in the colon.

The peristaltic reflex has been a central concept in gastrointestinal motility; however, evidence was published recently suggesting that post-stimulus responses that follow inhibitory neural responses provide the main propulsive force in colonic motility. This new concept was based on experiments on proximal colon where enteric inhibitory neural inputs are mainly nitrergic. However, the nature of inhibitory neural inputs changes from proximal to distal colon where purinergic inhibitory regulation dominates.

Cross-sectional and longitudinal relationships among blood-brain barrier disruption, Alzheimer's disease biomarkers, and cognition in cognitively normal older adults.

Blood-brain barrier disruption (BBBd) occurs in aging, particularly in regions vulnerable to Alzheimer's disease (AD) pathology. However, its relationship to pathological protein accumulation, neurodegeneration, and cognitive impairment in normal aging is unclear. We used dynamic contrast-enhanced MRI (DCE-MRI) and positron emission tomography (PET) imaging in cognitively normal older adults to explore how BBBd correlates with brain atrophy and cognitive function, and whether these relationships are influenced by Aβ or tau.

System Dynamics Modeling of Caries Severity States in Long-Term Care.

Dental caries among long-term care (LTC) residents is a persistent and complex problem driven by social and structural factors. Systems thinking may be useful in considering novel approaches to reducing disease. This study aimed to develop a system dynamics model to simulate the progression of dentate older adults in LTC through caries severity states and estimate the effects of 3 intervention scenarios on the progression of caries: preventive topical fluoride (TF), arrest of caries with silver diamine fluoride (SDF), and a combination of TF and SDF.

Positron emission tomography harmonization in the Alzheimer's Disease Neuroimaging Initiative: A scalable and rigorous approach to multisite amyloid and tau quantification.

Introduction: A key goal of the Alzheimer's Disease NeuroImaging Initiative (ADNI) positron emission tomography (PET) Core is to harmonize quantification of β-amyloid (Aβ) and tau PET image data across multiple scanners and tracers.

Methods: We developed an analysis pipeline (Berkeley PET Imaging Pipeline, B-PIP) for ADNI Aβ and tau PET images and applied it to PET data from other multisite studies. Steps include image pre-processing, refacing, magnetic resonance imaging (MRI)/PET co-registration, visual quality control (QC), quantification of tracer uptake, and standardization of Aβ and tau standardized uptake value ratios (SUVrs) across tracers.

Automated denoising software for calcium imaging signals using deep learning.

Dynamic Ca signaling is crucial for cell survival and death, and Ca imaging approaches are commonly used to study and measure cellular Ca patterns within cells. However, the presence of image noise from instrumentation and experimentation protocols can impede the accurate extraction of Ca signals. Removing noise from Ca Spatio-Temporal Maps (STMaps) is essential for precisely analyzing Ca datasets.