Deep Learning-Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach.

Purpose: A debilitating and poorly understood symptom of Parkinson's disease (PD) is freezing of gait (FoG), which increases the risk of falling. Clinical evaluations of FoG, relying on patients' subjective reports and manual examinations by specialists, are unreliable, and most detection methods are influenced by subject-specific factors.

Method: To address this, we developed a novel algorithm for detecting FoG events based on movement signals.

TIRADS-based artificial intelligence systems for ultrasound images of thyroid nodules: protocol for a systematic review.

Purpose: The thyroid imaging reporting and data system (TIRADS) was developed as a standard global term to describe thyroid nodule risk features, aiming to address issues such as variability and low reproducibility in nodule feature detection and interpretation by different physicians. The objective of this study is to comprehensively study articles that utilize AI techniques to design and develop decision support systems for classifying thyroid nodule risk on the basis of various TIRADS guidelines from ultrasound images.

Methods: This protocol includes five steps: identification of key research questions of the review, descriptions of the systematic literature search strategies, criteria for study inclusion and exclusion, study quality measures, and the data extraction process.

Lipid variability in drug-naïve individuals affected with Major Depressive Disorder: a systematic review and meta-analysis.

Background: This study aimed to provide a comprehensive synthesis of the evidence examining lipid profiles in drug-naïve MDD patients.

Materials And Methods: We searched PubMed, Scopus, and ISI Web of Science up to August 2023 for total cholesterol, HDL-C, LDL-C, and triglyceride levels in drug-naïve MDD patients.

Results: A total of 17 articles comprising 2174 individuals including drug-naïve MDD subjects and controls were included.

Machine and deep learning algorithms for classifying different types of dementia: A literature review.

The cognitive impairment known as dementia affects millions of individuals throughout the globe. The use of machine learning (ML) and deep learning (DL) algorithms has shown great promise as a means of early identification and treatment of dementia. Dementias such as Alzheimer's Dementia, frontotemporal dementia, Lewy body dementia, and vascular dementia are all discussed in this article, along with a literature review on using ML algorithms in their diagnosis.

Pregnancy outcomes in women with Celiac disease in Northeast Iran: a regional retrospective cohort study.

Purpose: To investigate the odds and associations of pregnancy outcomes with exposure to biopsy-confirmed celiac disease (CD) in Northeast Iran.

Methods: In this regional retrospective cohort study, pregnancy records of all women with celiac disease who visited Celiac Disease Clinic of Imam-Reza Hospital from 2017 to 2023 (exposed group) and a sample of women without CD (unexposed group) were extracted using the Electronic Health Record of Mashhad University of Medical Sciences called "Sina". The unexposed group was randomly selected of the database and matched to exposed group on age, location of residence, socioeconomic factors.

Biosensors for Detection of Hepatitis B Virus: Review.

Hepatitis B is still one of the most important infectious diseases among humans, which is considered a serious threat to their lives. Early diagnosis of this disease can be an effective measure in stopping the chain of transmission and treatment of the disease. In this review study, an attempt has been made to explain the use of biosensors as a fast, high-efficiency, and low-cost method in diagnosis.

The Association of Iron Intake and Hypertension, Does Iron Intake Decrease Blood Pressure?

Previous studies reported that iron may have an indispensable role in the risk of hypertension (HTN). However, the result of the studies on the relationship between iron and risk of HTN is inconsistent. This study aimed to assess the association between the association of dietary iron intake and HTN in the Iranian population.

Prescribed performance control of a robotic manipulator with unknown control gain and assigned settling time.

This paper presents a control method for trajectory tracking of a robotic manipulator, subject to practical constraints and uncertainties. The proposed method is established upon an adaptive backstepping procedure incorporating a tangent-type barrier Lyapunov function and it preserves some important metrics of trajectory tracking such as fast and user-defined settling time response and robustness against actuation faults and unknown control gain. The proposed design maintains the system trajectory within a prescribed performance bound and relaxes the assumption of the bounded initial condition.

Clinical and Radiological Outcomes of Dura-Splitting versus Duraplasty Techniques in Pediatric Chiari I Malformation: A Systematic Review and Meta-Analysis.

Type I Chiari malformation is a developmental anomaly with various proposed surgical techniques for its management. The dura-splitting technique is a less invasive approach and involves the resection of the outer layer of the dura while sparing the internal layer. While this less-known approach may minimize the complication rates, there are concerns about its efficacy and outcome.

Association between biochemical and hematologic factors with COVID-19 using data mining methods.

Background And Aim: Coronavirus disease (COVID-19) is an infectious disease that can spread very rapidly with important public health impacts. The prediction of the important factors related to the patient's infectious diseases is helpful to health care workers. The aim of this research was to select the critical feature of the relationship between demographic, biochemical, and hematological characteristics, in patients with and without COVID-19 infection.

Generating synthetic medical images with limited data using auxiliary classifier generative adversarial network: a study on thyroid ultrasound images.

Background And Objective: The availability of labeled data is crucial for training deep neural networks. However, in some cases, the available data is limited or unlabeled, which poses a significant obstacle in developing accurate models. Various approaches exist to address this issue, such as Image Augmentation, Transfer Learning, and GANs.

The relationship between anthropometric indices and the presence of hypertension in an Iranian population sample using data mining algorithms.

Hypertension (HTN) is a common chronic condition associated with increased morbidity and mortality. Anthropometric indices of adiposity are known to be associated with a risk of HTN. The aim of this study was to identify the anthropometric indices that best associate with HTN in an Iranian population.

Resveratrol as a potential protective compound against skeletal muscle insulin resistance.

The increasing prevalence of type 2 diabetes has become a major global problem. Insulin resistance has a central role in pathophysiology of type 2 diabetes. Skeletal muscle is responsible for the disposal of most of the glucose under conditions of insulin stimulation, and insulin resistance in skeletal muscle causes dysregulation of glucose homeostasis in the whole body.

A Liver-Derived Vascular Lesion: Hepatic Hemangioma or Hepatic Epithelioid Hemangioendothelioma?

Hepatic epithelioid hemangioendothelioma (EHE) is an uncommon vascular endothelial cell tumor of the liver with numerous symptoms and features. The median affected age is 41, and females are more frequently affected than men. In the following article, a 37-year-old nurse is presented who was referred to the hospital with severe right upper quadrant pain.

Prognostic value of red blood cell distribution width and D-Dimer in diffuse large B-cell lymphoma: Systematic review and meta-analysis.

Background: The significant role of red blood cell distribution width (RDW) and D-Dimer as prognostic factors in patients with some blood malignancies has been reported recently.

Aim: We designed and performed a meta-analysis to investigate the prognostic roles of RDW and D-Dimer in subjects with diffuse large B-cell lymphoma (DLBCL).

Materials And Methods: We systematically reviewed PubMed-Medline, SCOPUS, EMBASE, Web of Science Core Collection, and Google Scholar up to the present to look for publications on prognostic effects of RDW and D-Dimer in DLBCL patients.

Lavender and metformin effectively propagate progesterone levels in patients with polycystic ovary syndrome: A randomized, double-blind clinical trial.

Background: The present study aimed to evaluate the impacts of lavender and metformin on polycystic ovary syndrome (PCOS) patients.

Methods: We performed a randomized, double-blind clinical trial including 68 females aged 18 to 45, fulfilling the Rotterdam criteria for PCOS. The patients were randomized to receive lavender (250 mg twice daily) or metformin (500 mg three times a day) for 90 days.

Comparison of Longevity in Patients with Idiopathic Pulmonary Fibrosis Using Pirfenidone Versus Triple Therapy with Prednisolone, Azathioprine, and Acetylcysteine.

Background: The effect of the combination of prednisolone, azathioprine, and acetylcysteine for the treatment of Idiopathic pulmonary fibrosis (IPF) is minimal. We aimed to investigate the effect of these drugs in case of intolerance to new anti-fibrotic drugs.

Materials And Methods: This historical prospective study was performed on 91 patients with idiopathic pulmonary fibrosis who were referred to a pulmonologist in Mashhad during 2016-2020.

Non-Newtonian pulsatile blood flow through the stenosed arteries: comparison between the viscoelastic and elastic arterial wall in response to the alterations.

In this study, we investigate the impact of aortic stenosis on the hemodynamics of pulsatile blood flow within a 3D aortic model. Employing a non-Newtonian Casson model with a hematocrit of 45%, our study introduces a preliminary hypothesis to simulate blood flow dynamics, incorporating both linear elastic and viscoelastic models to define the mechanical characteristics of the artery. Through simulations conducted with Ansys-Cfx (version 15), we utilize a 2-way fluid-structure interaction (FSI) approach, employing a Lagrangian-Eulerian formulation with second-order accuracy.

Regulatory role of miRNAs on Wnt/β-catenin signaling in tumorigenesis of glioblastoma.

Glioblastoma (GBM) is one of the most aggressive tumors in the brain with high mortality worldwide. Despite recent advances in therapeutic strategies, the survival rate remains low in patients with GBM. The pathogenesis of GBM is a very complicated process involving various genetic mutations affecting several oncogenic signaling pathways like Wnt/β-catenin axis.

Platelet distribution widths and white blood cell are associated with cardiovascular diseases: data mining approaches.

Objective: To investigate the association between cardiovascular diseases (CVDs) and haematologic factors in a cohort of Iranian adults.

Method: For a total population of 9,704 aged 35 to 65, a prospective study was designed. Haematologic factors and demographic characteristics (such as gender, age, and smoking status) were completed for all participants.

Momordica charantia phytoconstituents can inhibit human T-lymphotropic virus type-1 (HTLV-1) infectivity in vitro and in vivo.

There is an urgent need to find an effective therapy for life-threatening HTLV-1-associated diseases. Bitter melon (Momordica charantia) is considered a traditional herb with antiviral and anticancer properties and was tested in this study on HTLV-1 infectivity. GC-MS analyzed the alcoholic extract.

The comorbidity of somatic symptom and major depressive disorders in the times of COVID-19 lockdown in adolescence: A case-report study.

Physical symptoms with normal clinical examinations have been reported without detectable structural or biochemical abnormalities in the comorbidity of somatic symptom disorder and major depressive disorder. This association can have a debilitating effect on their academic and social performance. This case report is about a 13-year-old Afghani immigrant boy with no previous psychiatric history who developed severe body pain leading to a disability during the COVID-19 lockdown and social isolation.

Development of Data Mining Algorithms for Identifying the Best Anthropometric Predictors for Cardiovascular Disease: MASHAD Cohort Study.

Introduction: Many studies have been published to assess the best anthropometric measurements associated with cardiovascular diseases (CVDs), but controversies still exist.

Aim: Investigating the association between CVDs and anthropometric measurements among Iranian adults.

Methods: For a total population of 9354 aged 35 to 65, a prospective study was designed.

The importance of sleep patterns in the incidence of coronary heart disease: a 6-year prospective study in Mashhad, Iran.

Chronic shortened sleep can increase several cardiovascular risk factors, including depression, anxiety, metabolic syndrome, diabetes and hypertension. In the current study, we aimed to investigate the relationship between sleep patterns and the incidence of coronary heart disease (CHD). A total of 9704 healthy participants were recruited for the MASHAD cohort study.