COVID-19 testing, incidence, and positivity trends among school age children during the academic years 2020-2022 in the State of Qatar: special focus on using CDC indicators for community transmission to evaluate school attendance policies and public health response.

Background: There exists a gap in our understanding of the age-dependent epidemiological dynamics of SARS-CoV-2 among school-age children in comparison to adults within the State of Qatar. Additionally, there has been limited assessment of the timely implementation of physical distancing interventions, notably national school closures, and their impact on infection trends.

Methods: We used the national database to capture all records of polymerase-chain-reaction (PCR) testing, and rapid antigen tests (RAT) conducted at all health care venues in Qatar and administered between August 26, 2020, and August 21, 2022, across all age groups (≥ 5 years old).

An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre study.

The classification of extramural vascular invasion status using baseline magnetic resonance imaging in rectal cancer has gained significant attention as it is an important prognostic marker. Also, the accurate prediction of patients achieving complete response with primary staging MRI assists clinicians in determining subsequent treatment plans. Most studies utilised radiomics-based methods, requiring manually annotated segmentation and handcrafted features, which tend to generalise poorly.

Sequencing by avidity enables high accuracy with low reagent consumption.

We present avidity sequencing, a sequencing chemistry that separately optimizes the processes of stepping along a DNA template and that of identifying each nucleotide within the template. Nucleotide identification uses multivalent nucleotide ligands on dye-labeled cores to form polymerase-polymer-nucleotide complexes bound to clonal copies of DNA targets. These polymer-nucleotide substrates, termed avidites, decrease the required concentration of reporting nucleotides from micromolar to nanomolar and yield negligible dissociation rates.

Nanoparticle-based modulation of CD4 T cell effector and helper functions enhances adoptive immunotherapy.

Helper (CD4) T cells perform direct therapeutic functions and augment responses of cells such as cytotoxic (CD8) T cells against a wide variety of diseases and pathogens. Nevertheless, inefficient synthetic technologies for expansion of antigen-specific CD4 T cells hinders consistency and scalability of CD4 T cell-based therapies, and complicates mechanistic studies. Here we describe a nanoparticle platform for ex vivo CD4 T cell culture that mimics antigen presenting cells (APC) through display of major histocompatibility class II (MHC II) molecules.

Demographics and Clinical Characteristics of Adult Patients Hospitalized due to COVID-19 in a Rural/Suburban Integrated Health System in Southcentral Pennsylvania, March Through May 2020.

Existing characterizations of coronavirus disease 2019 (COVID-19) admissions have occurred primarily in urban settings. This report describes demographic and clinical characteristics of the first COVID-19 patients presenting to a 6-hospital integrated health care system in rural/suburban southcentral Pennsylvania. Medical records of adult patients admitted with COVID-19 between March and May of 2020 were retrospectively reviewed for demographics, symptomatology, imaging, and lab values.