Tabriz University of Medical Sciences

Management of Urinary Symptoms in Multiple Sclerosis: An Umbrella Review

BACKGROUND: Lower urinary tract dysfunctions (LUTDs) are prevalent among patients with multiple sclerosis (MS), which is the most common immune-mediated neurologic disease among the juvenile population. This study aims to evaluate the efficacy and safety of different methods in t...

Effects of Transcranial Photobiomodulation on Motor Functions in Healthy Individuals: A Randomized Controlled Trial

Objective This study investigated the effects of transcranial photobiomodulation (tPBM) targeting the supplementary motor area (SMA) on motor performance and neural activity in healthy individuals. Methods In a randomized, double-blind, sham-controlled trial, 60 right-handed part...

Physical activity and incident hypertension in relation to anthropometric and liver-related indices during 5-year follow-up in the Azar Cohort Study

Abstract Hypertension (HTN) is a major global public health concern. This study examined the association between physical activity (PA) and incident HTN, focusing on the mediating roles of anthropometric (AI) and liver-related indices (LI) in the Azar cohort. Data from 11,754 adu...

Dietary acid load is associated with quality of life in overweight and obese adult in Iranian women: a cross sectional study

Epidemiologic investigations have shown that dietary acid load (DAL) is associated with some limited quality of life (QoL) markers; however, according to the documents available so far, the association of this dietary pattern with QoL among overweight and obese women is not clear...

Structure-aware feature-to-image encoding with convolutional neural networks improves peer-to-peer credit default prediction compared with conventional tabular models

Abstract Background Peer-to-peer (P2P) lending has expanded rapidly, exposing individual investors to credit default risk typically absorbed by traditional bank intermediation. Methods This study proposes a hybrid deep learning framework for credit default prediction using 1,335,...

Defining workload components and activity standards for human resources professionals in Iranian public hospitals: A WISN-based framework for strengthening non-clinical workforce planning

Background Defining valid workload components and activity standards is a prerequisite for workload-based workforce planning. This study aimed to develop and validate workload components and activity standards for human resources (HR) departments in Iranian public hospitals using...

Implementation of Virtual Internship in Library and Information Science: A Scoping Review

Abstract This scoping review explored the concept of virtual/online internships in Library and Information Science (LIS) education, focusing on their rationale, advantages, and challenges. Following the Arksey and O’Malley framework, sixteen relevant articles were included after...

Mechanistic insights into the role of hypoxia-preconditioned mesenchymal stem cell-derived small extracellular vesicles in angiogenesis, adhesion, emt, and tumor progression in solid tumors

Solid tumors harbor a highly hypoxic tumor microenvironment (TME) that plays a pivotal role in tumor progression, therapeutic resistance, and metastasis. Mesenchymal stem/stromal cells (MSCs) are actively recruited into these hypoxic regions, where they undergo phenotypic reprogr...

CARASIL misdiagnosed as multiple sclerosis in two Iranian siblings: a case report

Cerebral autosomal recessive arteriopathy with subcortical infarcts and leukoencephalopathy (CARASIL), also known as HTRA1-related cerebral small vessel disease, is a rare hereditary arteriopathy caused by biallelic pathogenic variants in the HTRA1 gene. Because of overlapping cl...

Evaluating the performance of ensemble learning methods in diabetes disease classification

Abstract Diabetes mellitus is a widespread metabolic disorder marked by chronic hyperglycemia and severe complications. Early and accurate detection is crucial for effective management and preventing disease progression. This study systematically evaluates the performance of thre...

Postbiotic polysaccharide and peptide-enriched electrospun nanofibers based on polycaprolactone/ethyl cellulose/sodium alginate as bioactive macromolecular matrices for aflatoxin M1 adsorption in milk

Abstract Aflatoxin M1 (AFM1) contamination in dairy products raises many food safety concerns due to its toxicity and resistance to conventional processes. In this study, a novel bio-based adsorption system was developed using electrospun polycaprolactone/ethyl cellulose/sodium a...

Neuroprotective Effects of Nanocurcumin in Spinal Cord Injury: Modulation of Inflammatory and Inflammasome-Associated Signaling in an Integrated In Vivo , In Silico , and Machine-Learning Study

Spinal cord injury (SCI) triggers secondary neuroinflammatory and inflammasome-associated responses that contribute to tissue damage and functional impairment. This study evaluated nanocurcumin in experimental SCI using integrated experimental, computational, and exploratory mach...

Quality and readability of Persian-language online information on oral lichen planus: a cross-sectional content analysis

Patients with oral lichen planus (OLP) increasingly use the internet to obtain information about their condition, treatment, and prognosis. However, the quality and readability of Persian-language online information on OLP have not been comprehensively evaluated. This study asses...

Physiologically based pharmacokinetic modelling of levofloxacin as a tool for paediatric dose optimization

Aims Levofloxacin (LFX) is critical for paediatric community‐acquired pneumonia (CAP) and multidrug‐resistant tuberculosis (MDR‐TB). Current guideline doses may provide suboptimal exposure in younger children. This study aims to develop a paediatric physiologically based pharmaco...

The effects of resistance band–induced post-activation performance enhancement on Gyaku-Zuki punch kinematics in elite male karate athletes

Post-activation performance enhancement (PAPE) describes a transient improvement in voluntary explosive performance following a conditioning activity. The magnitude and time course of PAPE depend on the characteristics of the conditioning stimulus, the muscles and movement patter...

Mechanism-Guided Combination Pharmacology of Curcumin and Methotrexate: Translational Strategies in Cancer and Emerging Applications in Rheumatoid Arthritis

Abstract Methotrexate (MTX) remains a cornerstone therapy in oncology and, to a lesser extent, rheumatoid arthritis (RA), yet its clinical utility in both settings is constrained by dose-limiting toxicities, interpatient pharmacokinetic variability, and the development of therape...

A native dairy-derived Streptococcus thermophilus potentiates docetaxel efficacy by modulating apoptotic and PI3K/AKT/mTOR signaling pathways in MCF-7 breast cancer cells

Docetaxel (DTX) is a widely used chemotherapeutic agent for breast cancer; however, its clinical application is limited by dose-dependent toxicity and chemoresistance. This study investigated the chemosensitizing potential of a native dairy-derived S. thermophilus strain in combi...

An integrated overview of acute heart failure: a narrative review of pathophysiological mechanisms and contributing factors

Abstract Background Acute heart failure (AHF) is a significant cardiovascular syndrome characterized by either new-onset heart failure (HF) or acutely decompensated heart failure (ADHF), typically presenting with systemic and pulmonary congestion. The European Society of Cardiolo...

Ultra-processed food consumption (NOVA index) and the odds of diabetic nephropathy in women: a case-control study

diabetic nephropathy (DN) is a major complication of diabetes mellitus associated with increased morbidity and mortality. Dietary factors, particularly unhealthy food consumption, may contribute to kidney dysfunction. This study aimed to investigate the association between the NO...

Automated lung tumor segmentation using enhanced U-Net architectures: a multi-backbone comparative study for clinical applications

Lung cancer remains a leading cause of cancer-related mortality worldwide, and manual delineation of tumors on computed tomography (CT) is time-consuming and prone to inter-observer variability. This study systematically evaluates nine deep learning configurations for automated l...