Microfluidics as an emerging paradigm for assisted reproductive technology: A sperm separation perspective
We present various sperm separation microfluidic techniques, categorized as natural and non-natural methods. A few of the recent developments in on-chip fertilization are also discussed.PMID:38652182 | DOI:10.1007/s10544-024-00705-2 (Source: Biomedical Microdevices)
Source: Biomedical Microdevices - April 23, 2024 Category: Biomedical Engineering Authors: Mohammadjavad Bouloorchi Tabalvandani Zahra Saeidpour Zahra Habibi Saeed Javadizadeh Seyed Ahmadreza Firoozabadi Majid Badieirostami Source Type: research
Vein segmentation and visualization of upper and lower extremities using convolution neural network
CONCLUSIONS: Self-parameterized U-Net for vein segmentation and visualization has the potential to reduce risks associated with traditional venipuncture or CVD treatments by outperforming conventional CNN architectures, providing vascular assistance, and improving patient care and treatment outcomes.PMID:38651783 | DOI:10.1515/bmt-2023-0331 (Source: Biomedizinische Technik/Biomedical Engineering)
Source: Biomedizinische Technik/Biomedical Engineering - April 23, 2024 Category: Biomedical Engineering Authors: Amit Laddi Shivalika Goyal None Himani Ajay Savlania Source Type: research
Microfluidics as an emerging paradigm for assisted reproductive technology: A sperm separation perspective
We present various sperm separation microfluidic techniques, categorized as natural and non-natural methods. A few of the recent developments in on-chip fertilization are also discussed.PMID:38652182 | DOI:10.1007/s10544-024-00705-2 (Source: Biomedical Microdevices)
Source: Biomedical Microdevices - April 23, 2024 Category: Biomedical Engineering Authors: Mohammadjavad Bouloorchi Tabalvandani Zahra Saeidpour Zahra Habibi Saeed Javadizadeh Seyed Ahmadreza Firoozabadi Majid Badieirostami Source Type: research
Vein segmentation and visualization of upper and lower extremities using convolution neural network
CONCLUSIONS: Self-parameterized U-Net for vein segmentation and visualization has the potential to reduce risks associated with traditional venipuncture or CVD treatments by outperforming conventional CNN architectures, providing vascular assistance, and improving patient care and treatment outcomes.PMID:38651783 | DOI:10.1515/bmt-2023-0331 (Source: Biomedizinische Technik/Biomedical Engineering)
Source: Biomedizinische Technik/Biomedical Engineering - April 23, 2024 Category: Biomedical Engineering Authors: Amit Laddi Shivalika Goyal None Himani Ajay Savlania Source Type: research
Microfluidics as an emerging paradigm for assisted reproductive technology: A sperm separation perspective
We present various sperm separation microfluidic techniques, categorized as natural and non-natural methods. A few of the recent developments in on-chip fertilization are also discussed.PMID:38652182 | DOI:10.1007/s10544-024-00705-2 (Source: Biomedical Microdevices)
Source: Biomedical Microdevices - April 23, 2024 Category: Biomedical Engineering Authors: Mohammadjavad Bouloorchi Tabalvandani Zahra Saeidpour Zahra Habibi Saeed Javadizadeh Seyed Ahmadreza Firoozabadi Majid Badieirostami Source Type: research
Microfluidics as an emerging paradigm for assisted reproductive technology: A sperm separation perspective
We present various sperm separation microfluidic techniques, categorized as natural and non-natural methods. A few of the recent developments in on-chip fertilization are also discussed.PMID:38652182 | DOI:10.1007/s10544-024-00705-2 (Source: Biomedical Microdevices)
Source: Biomedical Microdevices - April 23, 2024 Category: Biomedical Engineering Authors: Mohammadjavad Bouloorchi Tabalvandani Zahra Saeidpour Zahra Habibi Saeed Javadizadeh Seyed Ahmadreza Firoozabadi Majid Badieirostami Source Type: research
Microfluidics as an emerging paradigm for assisted reproductive technology: A sperm separation perspective
We present various sperm separation microfluidic techniques, categorized as natural and non-natural methods. A few of the recent developments in on-chip fertilization are also discussed.PMID:38652182 | DOI:10.1007/s10544-024-00705-2 (Source: Biomedical Microdevices)
Source: Biomedical Microdevices - April 23, 2024 Category: Biomedical Engineering Authors: Mohammadjavad Bouloorchi Tabalvandani Zahra Saeidpour Zahra Habibi Saeed Javadizadeh Seyed Ahmadreza Firoozabadi Majid Badieirostami Source Type: research
Video-based analysis of the blink reflex in Parkinson ’s disease patients
We developed a video-based tool to quantitatively assess the Glabellar Tap Reflex (GTR) in patients with idiopathic Parkinson ’s disease (iPD) as well as healthy age-matched participants. We also video-graphica... (Source: BioMedical Engineering OnLine)
Source: BioMedical Engineering OnLine - April 23, 2024 Category: Biomedical Engineering Authors: Talisa S. Jansen, G ökhan Güney, Bergita Ganse, Mariana H. G. Monje, Jörg B. Schulz, Manuel Dafotakis, Christoph Hoog Antink and Anne K. Braczynski Tags: Research Source Type: research
A mechanistic simulation of induced DNA damage in a bacterial cell by X- and gamma rays: a parameter study
AbstractMechanistic Monte Carlo simulations calculating DNA damage caused by ionizing radiation are highly dependent on the simulation parameters. In the present study, using the Geant4-DNA toolkit, the impact of different parameters on DNA damage induced in a bacterial cell by X- and gamma-ray irradiation was investigated. Three geometry configurations, including the simple (without DNA details), the random (a random multiplication of identical DNA segments), and the fractal (a regular replication of DNA segments using fractal Hilbert curves), were simulated. Also, three physics constructors implemented in Geant4-DNA, i.e...
Source: Australasian Physical and Engineering Sciences in Medicine - April 23, 2024 Category: Biomedical Engineering Source Type: research
Transfer learning and self-distillation for automated detection of schizophrenia using single-channel EEG and scalogram images
In this study, our main goal is to develop an optimized system that can achieve automatic diagnosis of SZ with minimal input information. To optimize the system, we adopted a strategy of using single-channel EEG signals and integrated knowledge distillation and transfer learning techniques into the model. This approach was designed to improve the performance and efficiency of our proposed method for SZ diagnosis. Additionally, to leverage the pre-trained models effectively, we converted the EEG signals into images using Continuous Wavelet Transform (CWT). This transformation allowed us to harness the capabilities of pre-tr...
Source: Australasian Physical and Engineering Sciences in Medicine - April 23, 2024 Category: Biomedical Engineering Source Type: research
IEEE Engineering in Medicine and Biology Society Information
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Source: IEEE Transactions on Biomedical Engineering - April 22, 2024 Category: Biomedical Engineering Source Type: research
IEEE Transactions on Biomedical Engineering Information for Authors
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Source: IEEE Transactions on Biomedical Engineering - April 22, 2024 Category: Biomedical Engineering Source Type: research
IEEE Transactions on Biomedical Engineering Handling Editors Information
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Source: IEEE Transactions on Biomedical Engineering - April 22, 2024 Category: Biomedical Engineering Source Type: research
Table of Contents
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Source: IEEE Transactions on Biomedical Engineering - April 22, 2024 Category: Biomedical Engineering Source Type: research
Neural harmony: revolutionizing thyroid nodule diagnosis with hybrid networks and genetic algorithms
Comput Methods Biomech Biomed Engin. 2024 Apr 22:1-18. doi: 10.1080/10255842.2024.2341969. Online ahead of print.ABSTRACTIn the contemporary world, thyroid disease poses a prevalent health issue, particularly affecting women's well-being. Recognizing the significance of maternal thyroid (MT) hormones in fetal neurodevelopment during the first half of pregnancy, this study introduces the HNN-GSO model. This groundbreaking hybrid approach, utilizing the MT dataset, integrates ResNet-50 and Artificial Neural Network (ANN) within a Glow-worm Swarm Optimization (GSO) framework for optimal parameter tuning. With a comprehensive ...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 22, 2024 Category: Biomedical Engineering Authors: H Summia Parveen S Karthik Kavitha M S Source Type: research
