Machine Learning Algorithm-Based Prediction of Diabetes Among Female Population Using PIMA Dataset.

: Diabetes is a metabolic disorder characterized by increased blood sugar levels. Early detection of diabetes could help individuals to manage and delay the progression of this disorder effectively. Machine learning (ML) methods are important in forecasting the progression and diagnosis of different medical problems with better accuracy.

Complete mitochondrial genomes of and biting midge vectors of Bluetongue Virus.

Biting midges ( spp.) are important vectors of several insect borne arboviruses but are underrepresented in terms of availability of high-resolution genomic resources. We assembled and annotated complete mitochondrial genomes for two species, namely and which are proven vectors for Bluetongue Virus (BTV).

Executive Summary of the American Radium Society Appropriate Use Criteria: Regional Nodal Irradiation for Breast Cancer.

Objectives: Recent literature has provided additional data to further individualize treatment recommendations on regional nodal irradiation (RNI) patient selection and delivery techniques, but controversies surrounding optimal RNI utilization remain, including radiation technique, modality selection, and internal mammary lymph node (IMN) inclusion. The American Radium Society (ARS) Breast Appropriate Use Criteria (AUC) Committee performed a systematic review and developed a consensus guideline to summarize recent data and provide evidence-based recommendations.

Methods: A multidisciplinary panel comprised of 15 members representing radiation oncologists, medical oncologists, and surgical oncologists specializing in the treatment of breast cancer conducted an analysis of the medical literature from January 1, 2011 to April 1, 2024.

GPT, ontology, and CAABAC: A tripartite personalized access control model anchored by compliance, context and attribute.

As digital healthcare evolves, the security of electronic health records (EHR) becomes increasingly crucial. This study presents the GPT-Onto-CAABAC framework, integrating Generative Pretrained Transformer (GPT), medical-legal ontologies and Context-Aware Attribute-Based Access Control (CAABAC) to enhance EHR access security. Unlike traditional models, GPT-Onto-CAABAC dynamically interprets policies and adapts to changing healthcare and legal environments, offering customized access control solutions.

Genomic analysis of surgical patients to identify patients at risk for postoperative sepsis and surgical site infection.

Background: Early and accurate diagnosis of sepsis and the ensuing organ dysfunction remain a challenge in the postoperative setting. Susceptibility to infections, as well as the subsequent immunological response, are driven to some extent by the genetic predisposition of the patient. The purpose of this study was to identify novel genetic variants associated with postoperative sepsis (POS) and surgical site infections (SSIs).

Characteristics of abdominal herniation and its associations among patients operated in a Sudanese tertiary hospital: a retrospective review.

Background & Aims: Hernia is a very common surgical condition affecting all ages and both sexes. Data regarding abdominal wall hernias is essential to hernia management in an institution. With the absence of data regarding the prevalence, characteristics, and associations of abdominal wall hernias in Sudanese patients, we aimed to describe and find the possible differences in the spectrum of abdominal hernias, their rates, and associated predisposing factors.

Comparison of baseline global gene expression profiles of prostate cancer cell lines LNCaP and DU145.

Introduction: DU145 and LNCaP are classic prostate cancer cell lines. Characterizing their baseline transcriptomics profiles (without any intervention) can offer insights into baseline genetic features and oncogenic pathways that should be considered while interpreting findings after various experimental interventions such as exogenous gene transfection or drug treatment.

Methods: LNCaP and DU145 cell lines were cultured under normal conditions, followed by RNA extraction, cDNA conversion, library preparation, and RNA sequencing using the Illumina NovaSeq platform.

Socioeconomic inequalities in high-risk fertility behaviors over time in Ethiopia.

Introduction: High-risk fertility behaviors (HRFB), including short birth intervals, early or late childbearing age, and high parity, are associated with adverse pregnancy outcomes. Understanding the importance of socioeconomic disparity in HRFB and the factors influencing this disparity is essential to improve maternal and child survival, Accordingly, this study investigated socioeconomic inequalities in HRFB over time and its contributing factors.

Methods: We included a total weighted sample of 11,163 and 5,527 women aged 15 to 49 years from the 2005 and 2019 Ethiopia Demographic and Health Surveys, respectively.

Impact of breastfeeding and formula feeding on immune cell populations and blood cell parameters: an observational study.

Objective: Breastfeeding is associated with improved health outcomes in infancy and throughout adulthood as breast milk encompasses diverse immune-active factors that affect the ontogeny of the immune system in breastfed (BF) infants. Nevertheless, the impact of infant feeding on the immune system is poorly understood, and a comprehensive understanding of immune system development in human infants is lacking. In this observational study, we addressed the effects of different infant feeding approaches on cell populations and parameters in the peripheral blood of infants to gain insight into the innate and adaptive arms of the immune system.

Correction: Physical modeling of the effect of shape, blockage, and flow variability on scour in culvert outlets.

[This corrects the article DOI: 10.1371/journal.pone.

ChatEMG: Synthetic Data Generation to Control a Robotic Hand Orthosis for Stroke.

Intent inferral on a hand orthosis for stroke patients is challenging due to the difficulty of data collection. Additionally, EMG signals exhibit significant variations across different conditions, sessions, and subjects, making it hard for classifiers to generalize. Traditional approaches require a large labeled dataset from the new condition, session, or subject to train intent classifiers; however, this data collection process is burdensome and time-consuming.

Host-microbiome determinants of ready-to-use supplemental food efficacy in acute childhood malnutrition.

Ready-to-use supplemental foods (RUSF) are energy-dense meals formulated to prevent and treat moderate and severe childhood acute malnutrition (MAM and SAM) in high-risk settings. Although lifesaving, the degree and durability of weight recovery with RUSF is unpredictable. We examined whether environmental enteric dysfunction (EED) and gut microbiota perturbations are risk factors for RUSF failure in a birth cohort of 416 rural Pakistani children followed for growth, common childhood illnesses, and biomarkers from blood, urine, and stool.

Understanding Medical Students' Perceptions of Failure in Medical School.

This paper explores medical students' perceptions of failure through a qualitative approach, using semi-structured interviews to gather insights from six students across different academic years at Queen Mary University of London. The study aims to understand how students define failure, its causes, and its impact on their academic and personal lives. Key findings reveal that failure is perceived as multifaceted, influenced by internal and external expectations, and evolves throughout medical school.

Functional Outcomes of the Management of Acromioclavicular Joint Dislocation With a Clavicle Hook Plate: A Retrospective Study.

Background: Dislocation of the acromioclavicular joint (ACJ), accounting for 9%-12% of all shoulder injuries, is a frequent shoulder problem. Clavicular hook plates have proven to be a successful implant choice for surgical management. The benefit of this method is that it preserves the diarthrosis of the ACJ while reducing dislocation.

Improving event prediction using general practitioner clinical judgement in a digital risk stratification model: a pilot study.

Background: Numerous tools based on electronic health record (EHR) data that predict risk of unscheduled care and mortality exist. These are often criticised due to lack of external validation, potential for low predictive ability and the use of thresholds that can lead to large numbers being escalated for assessment that would not have an adverse outcome leading to unsuccessful active case management. Evidence supports the importance of clinical judgement in risk prediction particularly when ruling out disease.

Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques.

The worldwide prevalence of thyroid disease is on the rise, representing a chronic condition that significantly impacts global mortality rates. Machine learning (ML) approaches have demonstrated potential superiority in mitigating the occurrence of this disease by facilitating early detection and treatment. However, there is a growing demand among stakeholders and patients for reliable and credible explanations of the generated predictions in sensitive medical domains.

Bioactive Potential of Chitosan-Oleic Acid Nanoparticles Loaded with Lemon Peel Essential Oil for Topical Treatment of Vulvovaginal Candidiasis.

The rising incidence of vulvovaginal candidiasis (VVC) has been leading to the development of alternative antifungal therapies. This study aimed to develop a topical chitosan-oleic acid nanoparticle (CH-OA-NP) cream loaded with lemon peel essential oil (LPEO) for VVC treatment. The characterization of the optimal nanoparticle formulation (F4: 10 g/L CH, 2:1 OA/LPEO ratio) showed high encapsulation efficiency, stability, and controlled release.

Identification of key signaling pathways and novel computational drug target for oral cancer, metabolic disorders and periodontal disease.

Aim: Due to conventional endocrinological methods, there is presently no shared work available, and no therapeutic options have been demonstrated in oral cancer (OC) and periodontal disease (PD), type 2 diabetes (T2D), and obese patients. The aim of this study is to determine the similar molecular pathways and potential therapeutic targets in PD, OC, T2D, and obesity that may be used to anticipate the progression of the disease.

Methods: Four Gene Expression Omnibus (GEO) microarray datasets (GSE29221, GSE15773, GSE16134, and GSE13601) are used for finding differentially expressed genes (DEGs) for T2D, obese, and PD patients with OC in order to explore comparable pathways and therapeutic medications.

Association Between Pulmonary Tuberculosis and Bronchial Anthracosis.

Introduction Anthracosis is black discoloration of the bronchi, which can sometimes cause anthracofibrosis. Usually, exposure to biomass fuel, air pollution, or smoke at the workplace causes it. The objective of the current study was to determine the association between tuberculosis and anthracosis.

Seminal fluid proteins in the Queensland fruit fly: Tissue origins, effects of mating and comparative genomics.

In many insect species, the ability of males to inhibit their mates from remating is an important component of fitness. This ability is also essential for the effective management of insect pests, including tephritid fruit flies, using the Sterile Insect Technique. Here we apply transcriptomics and proteomics to male reproductive tissues before and after mating to characterize components of semen that might mediate remating inhibition in Queensland fruit fly.

Immunogenicity and safety following a homologous booster dose of a SARS-CoV-2 recombinant spike protein vaccine with Matrix-M adjuvant (NVX-CoV2373) versus a primary series in people living with and without HIV-1 infection in South Africa: A randomized crossover phase 2a/2b trial.

COVID-19 remains a global public health issue and an improved understanding of vaccine performance in immunocompromised individuals, including people living with HIV (PLWH), is needed. Initial data from the present study's pre-crossover/booster phase were previously reported. This phase 2a/b clinical trial in South Africa (2019nCoV-501/NCT04533399) revisits 1:1 randomly assigned HIV-negative adults (18-84 years) and medically stable PLWH (18-64 years) who previously received two NVX-CoV2373 doses (5 μg recombinant Spike protein with 50 μg Matrix-M™ adjuvant) or placebo.

Delta shock index predicts injury severity, interventions, and outcomes in trauma patients: A 10-year retrospective observational study.

Background: Most trauma occurs among young male subjects in Qatar. We examined the predictive values of the delta shock index (DSI), defined as the change in the shock index (SI) value from the scene to the initial reading in the emergency unit (, subtracting the calculated SI at admission from SI at the scene), at a Level 1 trauma center.

Aim: To explore whether high DSI is associated with severe injuries, more interventions, and worse outcomes [, blood transfusion, exploratory laparotomy, ventilator-associated pneumonia, hospital length of stay (HLOS), and in-hospital mortality] in trauma patients.

Predicting 30-Day Outcomes in Primary Intracerebral Hemorrhage Using the Intracerebral Hemorrhage Score: A Study in Bangladesh.

Introduction Intracerebral hemorrhage (ICH) is a severe subtype of stroke associated with high rates of mortality and morbidity. Accurate early prognostication is essential for optimizing treatment strategies and improving patient outcomes. The ICH score, which includes clinical and imaging variables, is widely used to predict mortality and functional outcomes in ICH patients.

Coronary Artery Bypass Grafting in Young Adults.

Objective: To evaluate the risk factors for early onset of coronary artery disease (CAD) and assess the preoperative presentation, perioperative course, survival, and short-term complications after coronary artery bypass graft (CABG) in patients aged 45 years or younger undergoing CABG.

Study Design: Observational study. Place and Duration of the Study: Department of Cardiothoracic Surgery, The Aga Khan University Hospital, Karachi, Pakistan, from December 2020 to January 2021.

Prevalence of quitting decision and the impact of increased cigarette prices on the smoking behaviours among the male garment workers in Bangladesh.

Objectives: The prevalence of tobacco use is high in Bangladesh, with a cigarette being the most consumed tobacco product. Taxing tobacco is highly effective for tobacco control, raising costs and encouraging smokers to quit or reduce cigarette consumption. Garment workers are the major group of low-wage earners in Bangladesh.