Publications by authors named "Seyyed A Hosseini"

Background: Classical literature has pointed at lateralization of the relationship between memory scores and cerebral hemisphere injury. Epilepsy studies have suggested an association between left hippocampal damage and verbal memory deficits, and between right hippocampal damage and visual memory deficits. We aimed to explore this concept in the context of tauopathy due to Alzheimer's disease.

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Background And Objectives: To compare the diagnostic performance of an immunoassay for plasma concentrations of phosphorylated tau (p-tau) 217 with visual assessments of fluorine-18 fluorodeoxyglucose [F]FDG-PET in individuals who meet appropriate use criteria for Alzheimer dementia (AD) biomarker assessments.

Methods: We performed a retrospective analysis of individuals with early-onset (age <65 years at onset) and/or atypical dementia (features other than memory at onset), who were evaluated at a tertiary care memory clinic. All participants underwent measurements of CSF biomarkers (Aβ42, p-tau181, and total tau levels), as well as [F]FDG-PET scans, amyloid-PET scans, and plasma p-tau217 quantifications.

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  • This study focuses on identifying individuals with advanced Alzheimer's disease (specifically Braak V or VI) using plasma biomarkers in those who are already confirmed to have amyloid-β (Aβ).
  • Researchers evaluated 595 participants from two studies, employing tests like amyloid-PET and tau-PET while measuring various plasma tau levels.
  • Findings suggest that elevated levels of plasma pTau-217 are strongly associated with Braak V positivity, indicating it could be a useful biomarker for patient stratification in treatment and clinical studies.
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  • - Materials data science and machine learning are transforming cancer treatment strategies by enabling the development of nanotherapeutics, which enhance drug delivery precision and minimize side effects compared to traditional treatments like chemotherapy.
  • - This study focuses on predicting the solvent-accessible surface area (SASA) of nanoparticles, which is vital for their effectiveness in therapy, by integrating machine learning with molecular dynamics simulations.
  • - The introduced methodology significantly boosts prediction accuracy and computational efficiency, achieving a 40-fold speed improvement and a 25% accuracy increase over existing methods, while also offering substantial cost savings for nanotherapeutic research.
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Background: Medication errors among nursing students pose a threat to medication safety. Medication Error Encouragement Training and Problem Based Scenario are two innovative educational methods used in medication education.

Aim: Compare the effects of Medication Error Encouragement Training and Problem Based Scenario on the knowledge and competency of medication safety among nursing students.

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  • ADHD is a common neurobehavioral disorder in kids and teens that needs early detection, and EEG connectivity measures can help improve its diagnosis.
  • This study presents a new ADHD diagnostic approach using a combination of connectivity maps derived from EEG data and a specialized convolutional neural network (Att-CNN).
  • The proposed method achieved high performance metrics (accuracy of 98.88% and F1 Score of 98.30%) with the help of advanced optimizers, suggesting it could significantly enhance early diagnosis and treatment efficacy for ADHD.
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In Alzheimer's disease (AD), neuropsychiatric symptoms (NPS) correlate with tau deposition in the brain. Here, we investigated the association of PET-based Braak stages with NPS and assessed whether they predict annual changes in NPS. We evaluated 231 individuals in the aging and AD continuum.

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The current study aimed to predict lymphovascular invasion (LVI) using multiple machine learning algorithms and multi-segmentation positron emission tomography (PET) radiomics in non-small cell lung cancer (NSCLC) patients, offering new avenues for personalized treatment strategies and improving patient outcomes. One hundred and twenty-six patients with NSCLC were enrolled in this study. Various automated and semi-automated PET image segmentation methods were applied, including Local Active Contour (LAC), Fuzzy-C-mean (FCM), K-means (KM), Watershed, Region Growing (RG), and Iterative thresholding (IT) with different percentages of the threshold.

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  • * The study investigates two research questions: the effectiveness of analyzing limb interactions in the time-frequency domain for classifying NDDs and the use of color-coded images with deep learning models for the same purpose.
  • * Models like AlexNet and GoogLeNet showed high accuracy in classifying gait signals from patients with various NDDs, with AlexNet reaching up to 99.20% accuracy, indicating that the methodology can significantly enhance diagnosis and treatment strategies.
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Recognized as a not-an-option approach to mitigate the climate crisis, carbon dioxide capture and storage (CCS) has a potential as much as gigaton of CO to sequestrate permanently and securely. Recent attention has been paid to store highly concentrated point-source CO into saline formation, of which Thailand considers one onshore case in the north located in Lampang - the Mae Moh coal-fired power plant matched with its own coal mine of Mae Moh Basin. Despite a large basin and short transport route from the source, target sandstone reservoir buried at deeper than 1000 m is of tight nature and limited data, while question on storing possibility has thereafter risen.

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Background: Self-management behaviours are critical for patients requiring regular hemodialysis (HD) therapy. This study aimed to test the relationship between social support, uncertainty and self-management among HD patients and to explore whether hope plays a mediating role.

Methods: In a cross-sectional study, a convenience sample of 212 HD patients from two hospitals completed the Perceived Social Support Scale (PSSS), Herth Hope Index (HHI), Short form Mishel Uncertainty in Illness Scale (SF-MUIS), and hemodialysis Self-Management Instrument (HD-SMI).

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Purpose: This study aimed to examine the robustness of positron emission tomography (PET) radiomic features extracted via different segmentation methods before and after ComBat harmonization in patients with non-small cell lung cancer (NSCLC).

Methods: We included 120 patients (positive recurrence = 46 and negative recurrence = 74) referred for PET scanning as a routine part of their care. All patients had a biopsy-proven NSCLC.

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This study investigated the impact of ComBat harmonization on the reproducibility of radiomic features extracted from magnetic resonance images (MRI) acquired on different scanners, using various data acquisition parameters and multiple image pre-processing techniques using a dedicated MRI phantom. Four scanners were used to acquire an MRI of a nonanatomic phantom as part of the TCIA RIDER database. In fast spin-echo inversion recovery (IR) sequences, several inversion durations were employed, including 50, 100, 250, 500, 750, 1000, 1500, 2000, 2500, and 3000 ms.

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There is no currently approved human vaccine against leishmaniasis. Utilization of immunogenic antigens and their epitopes capable of enhancing immune responses against leishmaniasis is a crucial step for rational in silico vaccine design. The objective of this study was to generate and evaluate a potential vaccine candidate against leishmaniasis, designed by immunodominant proteins from gp46 and gp63 of Leishmania major, which can stimulate helper T-lymphocytes (HTL) and cytotoxic T-lymphocytes (CTL).

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The progression of PET-based Braak stages correlates with cognitive deterioration in aging and Alzheimer's disease. Here, we investigate the association between PET-based Braak stages and functional impairment and assess whether PET-based Braak staging predicts a longitudinal decline in the performance of activities of daily living. In this cohort study, we evaluated cognitively unimpaired individuals and individuals with mild cognitive impairment or Alzheimer's disease dementia.

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Creep failure of hierarchical materials is investigated by simulation of beam network models. Such models are idealizations of hierarchical fibrous materials where bundles of load-carrying fibers are held together by multi-level (hierarchical) cross-links. Failure of individual beams is assumed to be governed by stress-assisted thermal activation over local barriers, and beam stresses are computed by solving the global balance equations of linear and angular momentum across the network.

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Background: Diabetes can result in distress. Improving Resilience is important in managing these conditions. It is also important to consider the mediating role of diabetes management self-efficacy (DMSE) between diabetes distress (DD) and Resilience.

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Introduction: Angiography stands as the paramount and definitive diagnostic method for coronary artery disease. However, akin to various other invasive procedures, it may carry a multitude of complications. This study sought to assess the incidence of vascular complications post-arterial sheath removal, comparing the use of a ClampEase device against manual compression.

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Introduction: Synaptic loss is closely associated with tau aggregation and microglia activation in later stages of Alzheimer's disease (AD). However, synaptic damage happens early in AD at the very early stages of tau accumulation. It remains unclear whether microglia activation independently causes synaptic cleavage before tau aggregation appears.

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This study was conducted to evaluate the effects of co-dried fish protein hydrolysate (CFPH) on broilers performance, intestinal microbiology, and cellular immune responses. Five hundred one-day-old (Ross 308) male broilers were allocated to four treatments with five replicates of 25 birds in a completely randomized design. The experimental treatments included four levels of CFPH (0% as the control, 2.

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Introduction: We set out to identify tau PET-positive (A+T+) individuals among amyloid-beta (Aβ) positive participants using plasma biomarkers.

Methods: In this cross-sectional study we assessed 234 participants across the AD continuum who were evaluated by amyloid PET with [ F]AZD4694 and tau-PET with [ F]MK6240 and measured plasma levels of total tau, pTau-181, pTau-217, pTau-231, and N-terminal tau (NTA-tau). We evaluated the performances of plasma biomarkers to predict tau positivity in Aβ+ individuals.

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Purpose: Glioblastoma Multiforme (GBM) represents the predominant aggressive primary tumor of the brain with short overall survival (OS) time. We aim to assess the potential of radiomic features in predicting the time-to-event OS of patients with GBM using machine learning (ML) algorithms.

Materials And Methods: One hundred nineteen patients with GBM, who had T1-weighted contrast-enhanced and T2-FLAIR MRI sequences, along with clinical data and survival time, were enrolled.

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Article Synopsis
  • * The study uses brain connectivity measurements and six classifiers to differentiate between children with ADHD and those without, achieving an impressive accuracy of 99.174%.
  • * Two potential biomarkers related to brain connectivity patterns are proposed, with statistical validation indicating their significant difference, highlighting their promise for improving ADHD diagnosis and intervention strategies.
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Background: Opioid abuse is one of the most obvious problems in today's world and directly affects individuals' quality of life. The present study aimed to investigate the effects of Roy's adaptation model on the quality of life in people with opioid abuse under methadone maintenance treatment.

Methods: This randomized trial study was conducted in 2021 on 72 patients with opioid abuse under methadone maintenance treatment at the Center for Addiction Harm Reduction in Isfahan.

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