Publications by authors named "Razavi M"

Direct pacing of the mid myocardium where re-entry originates can be used to prevent ventricular arrhythmias and circumvent the need for painful defibrillation or cardiac ablation. However, there are no pacing electrodes small enough to navigate the coronary veins that cross these culprit scar regions. To address this need, we have developed an injectable ionically conductive hydrogel electrode that can fill the epicardial coronary veins and transform them into flexible electrodes.

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Lymphatic muscle cells (LMCs) within the wall of collecting lymphatic vessels exhibit tonic and autonomous phasic contractions, which drive active lymph transport to maintain tissue-fluid homeostasis and support immune surveillance. Damage to LMCs disrupts lymphatic function and is related to various diseases. Despite their importance, knowledge of the gene transcriptional signatures in LMCs and how they relate to lymphatic function in normal and disease contexts is largely missing.

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Objectives: Dietary supplementation with branched-chain amino acids (BCAAs), including leucine, isoleucine, and valine, has shown potential benefits for the metabolic profile. However, emerging population-based studies suggest that BCAAs may mediate pathways related to cardiometabolic risk factors, possibly due to their involvement in the dysregulation of insulin metabolic pathways. This study aimed to investigate the association between BCAAs intake and the odds of nonalcoholic fatty liver disease (NAFLD) in children and adolescents with overweight and obesity.

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Background: Preclinical studies have demonstrated that therapeutic ultrasound (TUS) increases perfusion in peripheral artery disease (PAD). This pilot study assessed the safety and effectiveness of a noninvasive TUS device in patients with advanced PAD.

Methods: A phased array of TUS transducers was fabricated on a wearable sleeve, designed to sonicate the posterior and anterior tibial arteries (and their collaterals) at the calf level.

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Wireless communication technologies for bioelectronic implants enable remote monitoring for diagnosis and adaptive therapeutic intervention without the constraints of wired connections. However, wireless data uplink from millimeter-scale devices deep in the body struggles to achieve low power consumption while maintaining large misalignment tolerances. Here, we report a passive wireless backscatter communication system based on magnetoelectric transducers that consumes less than 0.

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The design and optimization of bone scaffolds are critical for the success of bone tissue engineering (BTE) applications. This review paper provides a comprehensive analysis of computational optimization methods for bone scaffold architecture, focusing on the balance between mechanical stability, biological compatibility, and manufacturability. Finite element method (FEM), computational fluid dynamics (CFD), and various optimization algorithms are discussed for their roles in simulating and refining scaffold designs.

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Introduction: Rhinosinusitis is an important prevalent and bothersome problem relevant to dental specialties like maxillofacial surgery, pathology and radiology. Two main contributing factors to this problem are the inferior turbinate and sinus membrane. Except one flawed and incomplete preliminary study, no study has examined the potential link between the thickness of sinus mucosal lining and the volume of the inferior turbinate.

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Purpose: To present the results of the Liquid Embolization of Arterial Hemorrhages in Peripheral Vasculature (LAVA) study evaluating safety and effectiveness of Lava Liquid Embolic System, an ethylene vinyl alcohol (EVOH), for peripheral arterial hemorrhage (PAH).

Materials And Methods: LAVA was a pivotal, prospective, multicenter, single-group, centrally adjudicated study of adults with active PAH. Patients received EVOH at 1 of 2 viscosities, administered by experienced physicians.

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Objective: There are varying anatomical and mechanical demands of stent placement in the iliofemoral venous segment; the Duo Venous Stent System is designed to address these issues. The purpose of the VIVID (Venous stent for the Iliofemoral Vein Investigational clinical trial using the Duo Venous Stent System) study was to investigate the safety and efficacy of the Duo Venous Stent System for the treatment of patients with nonmalignant iliofemoral venous obstructive disease.

Methods: This was an international, prospective, multicenter, single-arm study that enrolled patients with symptomatic nonthrombotic (NT), post-thrombotic (PTS), or acute deep vein thrombotic (aDVT) iliofemoral venous outflow obstruction.

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Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women, associated with dyslipidemia, insulin resistance, and hormonal imbalances. Metformin and curcumin have shown promise in improving these metabolic and hormonal parameters individually, but their combined effects in PCOS remain unclear.

Methods: We conducted a randomized, double-blind, placebo-controlled, 12-week factorial trial involving 200 women with PCOS.

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Article Synopsis
  • * Ultrasound-mediated drug delivery with micro- and nanobubbles helps to effectively bypass the blood-brain barrier, increasing the precision of treatments for issues like stroke and brain tumors.
  • * The review covers the principles of this technology, its current clinical uses, challenges faced, and future prospects, including ongoing trials and potential advancements in treating neurodegenerative and neuroinflammatory diseases.
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This project aimed to study the efficacy of a bone-targeted ultrasound-responsive nanobubble (NB) platform to deliver gene-silencing cathepsin K (CTSK) siRNA into the bone for osteoporosis treatment using in vitro and in vivo studies. To this end, characterization of CTSK siRNA loaded NB functionalized with alendronate (NB-CTSK siRNA-AL) was performed using transmission electron microscopy (TEM) imaging, and a release profile was obtained through fluorescent spectroscopy. In vitro studies were conducted by culturing NB-CTSK siRNA-AL with osteoclasts to evaluate siRNA uptake, CTSK expression, and the expression of tartrate-resistant acid phosphatase (TRAP).

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Objective: Biopsychosocial distress is a common yet often underestimated complication in cancer care. We sought to translate and evaluate the psychometric properties of SupportScreen distress assessment tool in Brazil.

Methods: A cancer cohort study was conducted at a public hospital in Brazil.

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Finding the stiffness map of biological tissues is of great importance in evaluating their healthy or pathological conditions. However, due to the heterogeneity and anisotropy of biological fibrous tissues, this task presents challenges and significant uncertainty when characterized only by single-mode loading experiments. In this study, we propose a new theoretical framework to map the stiffness landscape of fibrous tissues, specifically focusing on brain white matter tissue.

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Article Synopsis
  • Miniature bioelectronic implants could enhance our ability to monitor and treat diseases by providing precise measurements and stimulation across the body’s physiological systems, like the heart and brain.
  • A significant hurdle in developing these implant networks is the inefficient transfer of wireless power and data through biological tissues, which can worsen with more implants.
  • This research introduces magnetoelectric wireless transfer, allowing for multiple implants (from 1 to 6) to communicate more effectively, thus paving the way for advanced electronic medicine using scalable closed-loop networks of bioelectronic devices.
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Background: Pulmonary compliance is an important lung factor and is affected by tidal volume. In this study, static and dynamic compliance with tidal volumes of 6 and 10 ml/kg have been evaluated in patients undergoing abdominal cancer surgery.

Methods: This randomized clinical trial was conducted on 50 patients who were candidate for abdominal cancer surgery.

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Article Synopsis
  • This study aimed to evaluate a new classification system for chronic venous obstruction (CVO) patients who have undergone successful medical procedures across 13 vascular centers from 2015 to 2019.
  • Researchers analyzed the data of 1,033 CVO patients, classifying them into five categories based on the severity and location of their condition, and assessed stent deployment and complications alongside follow-up outcomes.
  • Results showed that primary patency rates varied significantly among the classifications, with lower rates indicating more severe CVO, and identified key predictors of patency loss such as CVO type and the total number of stents used, suggesting the need for further validation of this classification system in future research.
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This paper presents a novel approach to synthesize a standard 12-lead electrocardiogram (ECG) from any three independent ECG leads using a patient-specific encoder-decoder convolutional neural network. The objective is to decrease the number of recording locations required to obtain the same information as a 12-lead ECG, thereby enhancing patients' comfort during the recording process. We evaluate the proposed algorithm on a dataset comprising fifteen patients, as well as a randomly selected cohort of patients from the PTB diagnostic database.

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In this study, we present a novel graph-based methodology for an accurate classification of cardiac arrhythmia diseases using a single-lead electrocardiogram (ECG). The proposed approach employs the visibility graph technique to generate graphs from time signals. Subsequently, informative features are extracted from each graph and then fed into classifiers to match the input ECG signal with the appropriate target arrhythmia class.

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Article Synopsis
  • The study investigates the anatomical characteristics of the nasolacrimal canal (NLC) and its correlation with nasal and paranasal sinus conditions, particularly how they relate to duct obstruction.
  • Using cone beam computed tomography (CBCT), measurements such as diameter, length, and angle of the NLC were analyzed in 126 patients to assess the influence of gender and age on these parameters.
  • Findings showed significant differences in the canal's angle and length between males and females, with women having a wider angle and shorter canal length compared to men, indicating gender-related anatomical variations.
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  • This study examined changes in brain surface gyrification in older breast cancer survivors 5-15 years after chemotherapy, comparing them to those who did not receive chemotherapy and healthy controls.
  • It involved neuropsychological testing and MRI analysis, with 10 participants from the chemotherapy group, 12 from the non-chemotherapy group, and 13 healthy controls.
  • Results indicated that chemotherapy survivors had increased gyrification in some brain regions but decreased in others, suggesting a link between altered brain structure and cognitive changes in these survivors.
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Atrial fibrillation (A-fib) is the most common type of heart arrhythmia, typically treated with radiofrequency catheter ablation to isolate the heart from abnormal electrical signals. Monitoring the formation of ablation-induced lesions is crucial for preventing recurrences and complications arising from excessive or insufficient ablation. Existing imaging modalities lack real-time feedback, and their intraoperative usage is in its early stages.

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Background: Mental stress and its consequent mental health disorders (MDs) constitute a significant public health issue. With the advent of machine learning (ML), there is potential to harness computational techniques for better understanding and addressing mental stress and MDs. This comprehensive review seeks to elucidate the current ML methodologies used in this domain to pave the way for enhanced detection, prediction, and analysis of mental stress and its subsequent MDs.

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Habituation to signals that warn of a potential danger in high-risk work environments is a critical causal factor of workplace accidents. Such habituation is hard to measure in a real-world setting, and no existing intervention can effectively curb it. Here, we present a protocol to enhance workers' sensory responses to frequently encountered warnings at workplaces using a virtual-reality-based behavioral intervention.

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