Publications by authors named "H Sabet"
Background: Sickle cell disease (SCD) patients encounter various complications, such as acute splenic sequestration crisis and hypersplenism that may require splenectomy. This systematic review and meta-analysis aims to clarify differences between total splenectomy (TS) or partial splenectomy (PS) in terms of hematological and postoperative outcomes.
Methods: We identified studies involving SCD patients who underwent PS or TS, whether open or laparoscopic, and whose hematological and operative outcomes were evaluated, through searching PubMed, Web of Science, Scopus, Embase and Cochrane databases from inception until June 2024.
Objectives: The effects of alpha-lipoic acid (ALA) supplementation on cardiovascular-related factors have been evaluated in a number of randomized clinical trials, with different results. Thus, in this meta-analysis, the effects of ALA on blood levels of inflammatory, lipid, and hematological markers as well as anthropometric indices in patients with chronic kidney disease (CKD) were evaluated.
Methods: Five electronic databases were used to conduct a comprehensive search through October 2023.
Nano-based drug delivery systems are regarded as a promising tool for efficient epilepsy treatment and seizure medication with the least general side effects and socioeconomic challenges. In the current study, we have designed a smart nanoscale drug delivery platform and applied it in the kindling model of epilepsy that is triggered rapidly by epileptic discharges and releases anticonvulsant drugs in situ, such as carbamazepine (CBZ). The CBZ-loaded electroactive ferrocene nanoliposomes had an average diameter of 100.
View Article and Find Full Text PDFBackground noise in many fields such as medical imaging poses significant challenges for accurate diagnosis, prompting the development of denoising algorithms. Traditional methodologies, however, often struggle to address the complexities of noisy environments in high dimensional imaging systems. This paper introduces a novel quantum-inspired approach for image denoising, drawing upon principles of quantum and condensed matter physics.
View Article and Find Full Text PDFBackground noise in many fields such as medical imaging poses significant challenges for accurate diagnosis, prompting the development of denoising algorithms. Traditional methodologies, however, often struggle to address the complexities of noisy environments in high dimensional imaging systems. This paper introduces a novel quantum-inspired approach for image denoising, drawing upon principles of quantum and condensed matter physics.
View Article and Find Full Text PDF