Correlations between postmortem quantitative MRI parameters and demyelination, axonal loss and gliosis in multiple sclerosis: A systematic review and meta-analysis.

Magnetic resonance imaging (MRI) is frequently used to monitor disease progression in multiple sclerosis (MS). This study aims to systematically evaluate the correlation between MRI measures and histopathological changes, including demyelination, axonal loss, and gliosis, in the central nervous system of MS patients. We systematically reviewed post-mortem histological studies evaluating myelin density, axonal loss, and gliosis using quantitative imaging in MS.

In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks.

The objectives of this study are to construct a deep convolutional neural network (DCNN) model to diagnose and classify meibomian gland dysfunction (MGD) based on the in vivo confocal microscope (IVCM) images and to evaluate the performance of the DCNN model and its auxiliary significance for clinical diagnosis and treatment. We extracted 6643 IVCM images from the three hospitals' IVCM database as the training set for the DCNN model and 1661 IVCM images from the other two hospitals' IVCM database as the test set to examine the performance of the model. Construction of the DCNN model was performed using DenseNet-169.

Diagnostic Accuracy of Artificial Intelligence for Detection of Rib Fracture on X-ray and Computed Tomography Imaging: A Systematic Review.

Rib pathology is uniquely difficult and time-consuming for radiologists to diagnose. AI can reduce radiologist workload and serve as a tool to improve accurate diagnosis. To date, no reviews have been performed synthesizing identification of rib fracture data on AI and its diagnostic performance on X-ray and CT scans of rib fractures and its comparison to physicians.

Brain Midline Approximation to Improve Symmetry Analysis of Brain CT Scans.

Analysis of the symmetry of the brain hemispheres at the level of individual structures and dominant tissue features has been the subject of research for many years in the context of improving the effectiveness of imaging methods for the diagnosis of brain tumor, stroke, and Alzheimer's disease, among others. One useful approach is to reliably determine the midline of the brain, which allows comparative analysis of the hemispheres and uncovers information on symmetry/asymmetry in the relevant planes of, for example, CT scans. Therefore, an effective method that is robust to various geometric deformations, artifacts, varying noise characteristics, and natural anatomical variability is sought.

Multi-class Classification of Retinal Eye Diseases from Ophthalmoscopy Images Using Transfer Learning-Based Vision Transformers.

This study explores a transfer learning approach with vision transformers (ViTs) and convolutional neural networks (CNNs) for classifying retinal diseases, specifically diabetic retinopathy, glaucoma, and cataracts, from ophthalmoscopy images. Using a balanced subset of 4217 images and ophthalmology-specific pretrained ViT backbones, this method demonstrates significant improvements in classification accuracy, offering potential for broader applications in medical imaging. Glaucoma, diabetic retinopathy, and cataracts are common eye diseases that can cause vision loss if not treated.

Impact and mechanism of the TBX-22 gene mutation G874A on the epithelial-mesenchymal transition in medial edge epithelial cells.

Cleft lip and palate (CL/P) are prevalent congenital anomalies with complex genetic causes. The G874A mutation of T-box transcription factor 22 (TBX-22) gene is notably associated with CL/P, while the underlying mechanism remains to be clarified. Studies have shown that the restriction of epithelial-mesenchymal transformation (EMT) process in medial edge epithelial cells (MEEs) is crucial for CL/P development.

Efficacy and safety of teriparatide in kidney transplant recipients with osteoporosis and low bone turnover: a real-world experience.

Introduction: Kidney transplantation is the preferred treatment for end-stage kidney disease (ESKD), enhancing survival and quality of life. However, kidney transplant recipients (KTRs) are at high risk for bone disorders, particularly low bone turnover disease, which increases fracture risk. Teriparatide, an anabolic agent, may provide a beneficial treatment option for these patients.

Acute Concurrent Exercise Improves Inhibitory Control Without Mediating the Role of Lactate: An Event-Related Potential Study.

Background: Concurrent exercise (CE), an emerging exercise modality characterized by sequential bouts of aerobic (AE) and resistance exercise (RE), has demonstrated acute benefits on executive functions (EFs) and neuroelectric P3 amplitude. However, the effect of acute CE on inhibitory control, a sub-component of EFs, and P3 amplitude remains inconclusive. Moreover, exploring the mechanisms underlying the effects of acute exercise on EFs contributes to scientific comprehension, with lactate recognized as a crucial candidate positively correlated with EFs.

EmoAtlas: An emotional network analyzer of texts that merges psychological lexicons, artificial intelligence, and network science.

We introduce EmoAtlas, a computational library/framework extracting emotions and syntactic/semantic word associations from texts. EmoAtlas combines interpretable artificial intelligence (AI) for syntactic parsing in 18 languages and psychologically validated lexicons for detecting the eight emotions in Plutchik's theory. We show that EmoAtlas can match or surpass transformer-based natural language processing techniques, BERT or large language models like ChatGPT 3.

Effect of terahertz radiation on cells and cellular structures.

The paper presents the results of modern research on the effects of electromagnetic terahertz radiation in the frequency range 0.5-100 THz at different levels of power density and exposure time on the viability of normal and cancer cells. As an accompanying tool for monitoring the effect of radiation on biological cells and tissues, spectroscopic research methods in the terahertz frequency range are described, and attention is focused on the possibility of using the spectra of interstitial water as a marker of pathological processes.

Phyto-Fingerprinting of Putranjiva roxburghii Wall. Leaf Extract and its In Vitro Anti-Inflammatory Activity.

Putranjiva roxburghii is an important medicinal plant utilized for remedy of female reproductive ailments. Its seed extract is being used as a uterine health booster due to the presence of several pharmaceutically important phytochemicals. However, the presence of phytochemicals in its leaf is still unexplored.

Social Network Types in Autistic Adults and Its Associations with Mastery, Quality of Life, and Autism Characteristics.

Research shows heterogeneity in experiences of social contact and social networks in autistic adults. In this study, we aim to identify clusters of social support networks and investigate associations of clusters with mastery, quality of life, and autism characteristics. Autistic adults (N = 381; 45.

The citizen perspective on challenges and rehabilitation needs among individuals treated for head and neck cancer: a qualitative study.

Purpose: In Denmark, the prevalence of head and neck cancer is approximately 17.000, and the incidence is increasing. The disease and treatment of this condition may lead to severe physical, psychological, and social consequences.

Forest Soil pH and Dissolved Organic Matter Aromaticity Are Distinct Drivers for Soil Microbial Community and Carbon Metabolism Potential.

The ecological niche separation of microbial interactions in forest ecosystems is critical to maintaining ecological balance and biodiversity and has yet to be comprehensively explored in microbial ecology. This study investigated the impacts of soil properties on microbial interactions and carbon metabolism potential in forest soils across 67 sites in China. Using redundancy analysis and random forest models, we identified soil pH and dissolved organic matter (DOM) aromaticity as the primary drivers of microbial interactions, representing abiotic conditions and resource niches, respectively.

Deep learning-based Monte Carlo dose prediction for heavy-ion online adaptive radiotherapy and fast quality assurance: A feasibility study.

Background: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in such treatments.

Purpose: This study seeks to address this gap by developing a DL model for independent MC dose (MCDose) prediction, aiming to facilitate OART and rapid QA implementation for HIT.

Physiology and Pathophysiology of Marathon Running: A narrative Review.

Background: Marathon training and running have many beneficial effects on human health and physical fitness; however, they also pose risks. To date, no comprehensive review regarding both the benefits and risks of marathon running on different organ systems has been published.

Main Body: The aim of this review was to provide a comprehensive review of the benefits and risks of marathon training and racing on different organ systems.

Efficacy, Safety, and Cost-effectiveness of Zinc Oxide Nanoparticles in Whitfield's Spirit Solution for Treating Superficial Fungal Foot Infections: A Randomized Controlled Trial.

Introduction: A novel antifungal formulation combining zinc oxide nanoparticles and Whitfield's spirit solution (ZnO-WFs) was developed to enhance the treatment of superficial fungal foot infections.

Methods: This 8-week, randomized, double-blinded controlled trial compared the efficacy, safety, and cost-effectiveness of ZnO-WFs with those of Whitfield's spirit solution (WFs) alone and a zinc oxide nanoparticle solution (ZnOs). Seventy of the 84 enrolled patients completed the trial.

Screening Young Adult Cancer Patients for Vocational Rehabilitation Services: A Vocational Rehabilitation Readiness Screening Tool.

Purpose: We aimed to develop an online vocational rehabilitation (VR) readiness screening (VRRS) tool for young adults diagnosed with cancer. VR readiness was defined as being physically and cognitively ready to enter or return to work or school.

Methods: We developed an initial VRRS tool informed by previous studies, a scoping review to determine such a tool had not already been developed, and consultation with subject matter experts.

Optimization, characterization and biosafety of oregano, rosemary and mint oil mixture against Penicillium digitatum in citrus using L-optimal mixture design.

The increasing demand for natural alternatives to synthetic fungicides has prompted research into natural products like essential oils for postharvest disease management. This study investigated the antifungal, antioxidant, cytotoxic, and genotoxic potential of essential oil mixtures derived from oregano, rosemary, and mint against Penicillium digitatum, the predominant fungal pathogen causing green mold in orange fruits. P.

Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer's disease.

Cognitive resilience (CR) describes the phenomenon of individuals evading cognitive decline despite prominent Alzheimer's disease neuropathology. Operationalization and measurement of this latent construct is non-trivial as it cannot be directly observed. The residual approach has been widely applied to estimate CR, where the degree of resilience is estimated through a linear model's residuals.

Impact of SARS-CoV-2 variants on viral infectivity and the role of the renin-angiotensin-aldosterone system.

Balance between Protective vs. Exacerbating Effects of ACEIs and ARBs in Omicron Variant Infections. The spike protein on the surface of the Omicron variant has a high affinity for ACE2, making it more prone to enter cells and induce ACE2 downregulation.

PtAu-Carbon Nanotube/Glassy Carbon Electrode Composite based Electrochemical Sensor for High-Precision Detection of Tetracycline.

With enrichment of tetracycline (TC) in ecosystems, its accurate detection has become a major concern. Noble-metal nano-particles have attracted great interest as potential materials for sensing applications because of their remarkable electrical properties and adaptability. Herein, a novel electro-chemical detection technique based on carbon nano-tubes (CNTs) as the support material is developed to detect TC with high precision.

Determinants of frailty among hospitalized older adults across various wards in a tertiary care hospital in Nepal.

Introduction: Frailty, characterized by decreased resilience due to physiological decline, affects approximately 65% of community-dwelling elderly in Nepal. This study assessed frailty and its factors among hospitalized older adults in a tertiary hospital in Nepal.

Methods: This cross-sectional study included 124 participants aged 60 and above, admitted to a tertiary hospital in Nepal.

Promoting Health Equity, Diversity, and Inclusion in Medical and Scientific Writing and Publishing of Research: A Statement from the Inaugural Diversity, Equity, and Inclusion (DEI) Advocacy Team of the Journal of General Internal Medicine.

The Journal of General Internal Medicine (JGIM) has a long-standing history of publishing manuscripts focused on health equity and is committed to diversity, equity, and inclusion (DEI) in scientific writing and publishing. This is extremely important in the current climate where false narratives and attacks on DEI and health equity are rampant. To demonstrate their commitment to DEI and health equity, the JGIM Editors-in-Chief created an inaugural DEI Advocacy Team.