Real-world validation of smartphone-based photoplethysmography for rate and rhythm monitoring in atrial fibrillation.

Aims: Photoplethysmography- (PPG) based smartphone applications facilitate heart rate and rhythm monitoring in patients with paroxysmal and persistent atrial fibrillation (AF). Despite an endorsement from the European Heart Rhythm Association, validation studies in this setting are lacking. Therefore, we evaluated the accuracy of PPG-derived heart rate and rhythm classification in subjects with an established diagnosis of AF in unsupervised real-world conditions.

The maternal-fetal neurodevelopmental groundings of preterm birth risk.

Background: Altered neurodevelopment is a major clinical sequela of Preterm Birth (PTB) being currently unexplored in-utero.

Aims: To study the link between fetal brain functional (FbF) connectivity and preterm birth, using resting-state functional magnetic resonance imaging (rs-fMRI).

Study Design: Prospective single-centre cohort study.

Integrated Strategies for Control Applied to Individual Houses: An Approach to Mitigate Vectorial Arbovirus Transmission.

and mosquitoes are vectors of different arboviruses that cause a large burden of disease in humans worldwide. A key step towards reducing the impact of arboviruses on humans can be achieved through integrated mosquito surveillance and control approaches. We carried out an integrated approach of mosquito surveillance and control actions to reduce populations of these insects along with a viral surveillance in a neighborhood of Recife (Northeastern Brazil) with high mosquito densities and arbovirus transmission.

DeST-OT: Alignment of Spatiotemporal Transcriptomics Data.

Spatially resolved transcriptomics (SRT) measures mRNA transcripts at thousands of locations within a tissue slice, revealing spatial variations in gene expression and distribution of cell types. In recent studies, SRT has been applied to tissue slices from multiple timepoints during the development of an organism. Alignment of this transcriptomics data can provide insights into the gene expression programs governing the growth and differentiation of cells over space and time.

Deep reinforcement learning identifies personalized intermittent androgen deprivation therapy for prostate cancer.

The evolution of drug resistance leads to treatment failure and tumor progression. Intermittent androgen deprivation therapy (IADT) helps responsive cancer cells compete with resistant cancer cells in intratumoral competition. However, conventional IADT is population-based, ignoring the heterogeneity of patients and cancer.

Machine learning and genetic algorithm-guided directed evolution for the development of antimicrobial peptides.

Introduction: Antimicrobial peptides (AMPs) are valuable alternatives to traditional antibiotics, possess a variety of potent biological activities and exhibit immunomodulatory effects that alleviate difficult-to-treat infections. Clarifying the structure-activity relationships of AMPs can direct the synthesis of desirable peptide therapeutics.

Objectives: In this study, the lipopolysaccharide-binding domain (LBD) was identified through machine learning-guided directed evolution, which acts as a functional domain of the anti-lipopolysaccharide factor family of AMPs identified from Marsupenaeus japonicus.

Impact of Prolonged Sport Stoppage on Knee Injuries in High School Athletes: An Ecological Study.

Context: In March 2020, public health concerns resulted in school closure throughout the United States. The prolonged sport cessation may affect knee injury risk in high school athletes. The purpose of this study was to describe and compare risk of knee injuries in high school athletes during 2019-2020 and 2020-2021 academic years, and stratify by gender, severity, mechanism of injury, injury type, and knee anatomic region.

Optimal ensemble construction for multistudy prediction with applications to mortality estimation.

It is increasingly common to encounter prediction tasks in the biomedical sciences for which multiple datasets are available for model training. Common approaches such as pooling datasets before model fitting can produce poor out-of-study prediction performance when datasets are heterogeneous. Theoretical and applied work has shown multistudy ensembling to be a viable alternative that leverages the variability across datasets in a manner that promotes model generalizability.

That's not the Mona Lisa! How to interpret spatial capture-recapture density surface estimates.

Spatial capture-recapture methods are often used to produce density surfaces, and these surfaces are often misinterpreted. In particular, spatial change in density is confused with spatial change in uncertainty about density. We illustrate correct and incorrect inference visually by treating a grayscale image of the Mona Lisa as an activity center intensity or density surface and simulating spatial capture-recapture survey data from it.

Linear mixed models and latent growth curve models for group comparison studies contaminated by outliers.

The linear mixed model (LMM) and latent growth model (LGM) are frequently applied to within-subject two-group comparison studies to investigate group differences in the time effect, supposedly due to differential group treatments. Yet, research about LMM and LGM in the presence of outliers (defined as observations with a very low probability of occurrence if assumed from a given distribution) is scarce. Moreover, when such research exists, it focuses on estimation properties (bias and efficiency), neglecting inferential characteristics (e.

Exonic knockout and knockin gene editing in hematopoietic stem and progenitor cells rescues RAG1 immunodeficiency.

Recombination activating genes () are tightly regulated during lymphoid differentiation, and their mutations cause a spectrum of severe immunological disorders. Hematopoietic stem and progenitor cell (HSPC) transplantation is the treatment of choice but is limited by donor availability and toxicity. To overcome these issues, we developed gene editing strategies targeting a corrective sequence into the human gene by homology-directed repair (HDR) and validated them by tailored two-dimensional, three-dimensional, and in vivo xenotransplant platforms to assess rescue of expression and function.

Revie ⊕: Impact of a resource-based life review intervention on patients with advanced cancer: A waitlist controlled trial.

Purpose: Life review interventions aim to support individuals facing an incurable disease accompanied by existential concerns and health-related challenges. Based on encouraging feasibility results, this study assessed the effects of Revie ⊕ life review intervention on the self-esteem of patients with advanced cancer, and the effects on well-being, post-traumatic growth, life satisfaction, symptom burden and interaction with nurses.

Method: The study consisted of a two-arm parallel-group, waitlist-controlled trial (WCT) in the oncology division of a Swiss-French University Hospital.

The Spigelman Staging System and the Risk of Duodenal and Papillary Cancer in Familial Adenomatous Polyposis: A Systematic Review and Meta-Analysis.

Introduction: Individuals with familial adenomatous polyposis (FAP) have an almost 20% lifetime risk of duodenal adenocarcinoma, currently the leading cause of death in FAP. The Spigelman staging system provides guidance on the surveillance intervals and timing of prophylactic surgery. Still, its accuracy in predicting duodenal and papillary cancer development has not been systematically evaluated.

A comparative study of tobacco control scale score in the Eastern Mediterranean Region countries.

Background: The tobacco control scale (TCS) score is used widely in European countries to evaluate the adoption of anti-tobacco policies by countries, however, data on the adoption of tobacco control programmes in the Eastern Mediterranean Region (EMR) are limited to a 2009 survey.

Aim: To compare the TCS score for measuring national tobacco control programmes in the EMR countries in 2009 and 2021.

Methods: This cross-sectional survey compared data from 21 EMR countries on 6 major indicators, including the price of cigarettes, tobacco smoke-free public places, national budget for tobacco control activities, ban on tobacco advertising, health warning labels on tobacco packets, and support for treatment of tobacco dependence.

Towards validation in clinical routine: a comparative analysis of visual MTA ratings versus the automated ratio between inferior lateral ventricle and hippocampal volumes in Alzheimer's disease diagnosis.

Purpose: To assess the performance of the inferior lateral ventricle (ILV) to hippocampal (Hip) volume ratio on brain MRI, for Alzheimer's disease (AD) diagnostics, comparing it to individual automated ILV and hippocampal volumes, and visual medial temporal lobe atrophy (MTA) consensus ratings.

Methods: One-hundred-twelve subjects (mean age ± SD, 66.85 ± 13.

Long-Term Exposure to Low Concentrations of Ambient Benzene and Mortality in a National English Cohort.

Benzene affects human health through environmental exposure in addition to occupational contact. However, few studies have examined the associations between long-term exposure to low concentrations of ambient benzene and mortality risks in nonoccupational settings. This prospective cohort study consists of 393,042 participants without stroke, myocardial infarction, or cancer at baseline from the UK Biobank.

Urban-Rural Disparity in Mortality Patterns of Respiratory Diseases Among Older Adults - China, 1987-2021.

What Is Already Known About This Topic?: Respiratory diseases (RDs) are the primary cause of death in older adults in China. However, there is limited evidence regarding the disparity in mortality rates of RDs between urban and rural areas among the elderly population.

What Is Added By This Report?: The age-standardized mortality rate (ASMR) due to RDs in the elderly population in both urban and rural areas of China has shown a consistent decrease.

The impact of need-based care on formal caregivers' wellbeing in nursing homes: A cluster randomized controlled trial.

Background: Need-based care is a structured and standardized model that supports formal caregivers in nursing homes in delivering person-centered care by responding with tailored non-pharmacological interventions on residents' unmet needs as well as having positive effects on behavioral and psychological symptoms on residents with dementia. However, limited resources as well as the shortage of caregivers in nursing homes make the implementation of need-based care challenging, especially when it comes to finding ways to spend more time with residents. The aim of this study is to evaluate the impact of the implementation of need-based care in nursing homes on formal caregivers' wellbeing.

A Fast, Reproducible, High-throughput Variant Calling Workflow for Population Genomics.

The increasing availability of genomic resequencing data sets and high-quality reference genomes across the tree of life present exciting opportunities for comparative population genomic studies. However, substantial challenges prevent the simple reuse of data across different studies and species, arising from variability in variant calling pipelines, data quality, and the need for computationally intensive reanalysis. Here, we present snpArcher, a flexible and highly efficient workflow designed for the analysis of genomic resequencing data in nonmodel organisms.