New Penalized Criteria for Smooth Non-Negative Tensor Factorization With Missing Entries
Tensor factorization models are widely used in many applied fields such as chemometrics, psychometrics, computer vision or communication networks. Real life data collection is often subject to errors, resulting in missing data. Here we focus in understanding how this issue should be dealt with for non-negative tensor factorization. We investigate several criteria used for non-negative tensor factorization in the case where some entries are missing. In particular we show how smoothness penalties can compensate the presence of missing values in order to ensure the existence of an optimum. This leads us to propose new criteri...
Source: IEEE Transactions on Signal Processing - April 23, 2024 Category: Biomedical Engineering 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
Impact of fed-batch process intensification on the productivity and product quality of two CHO cell lines expressing unique novel molecular format proteins
In this study, the impact of a high inoculation density (HID) fed-batch process on the productivity and product quality attributes of two CHO cell lines expressing unique NMFs, a monospecific antibody with an Fc-fusion protein and a bispecific antibody, compared to low inoculation density (LID) platform fed-batch processes was evaluated. It was observed that an intensified platform fed-batch process increased product concentrations by 33 and 109% for the two uniquely structured complex proteins in a shorter culture duration while maintaining similar product quality attributes to traditional fed-batch processes.PMID:3865384...
Source: Bioprocess and Biosystems Engineering - April 23, 2024 Category: Biomedical Engineering Authors: Nicolas Q Wolnick Marissa R Dickson Thaddaeus A Webster Roger P Connolly Nancy Fernandes Vesela Encheva Hunter Crittenden Jessica Hodgkins Brian C Hadley Gabriella Palermo Shannon J Hendrick Roy A Newell Genevieve Gray Christian Siltanen Julia Armstrong B Source Type: research
Electromagnetic Modulation of Cell Behavior: Unraveling the Positive Impacts in a Comprehensive Review
Ann Biomed Eng. 2024 Apr 23. doi: 10.1007/s10439-024-03519-8. Online ahead of print.ABSTRACTThere are numerous effective procedures for cell signaling, in which humans directly transmit detectable signals to cells to govern their essential behaviors. From a biomedical perspective, the cellular response to the combined influence of electrical and magnetic fields holds significant promise in various domains, such as cancer treatment, targeted drug delivery, gene therapy, and wound healing. Among these modern cell signaling methods, electromagnetic fields (EMFs) play a pivotal role; however, there remains a paucity of knowled...
Source: Annals of Biomedical Engineering - April 23, 2024 Category: Biomedical Engineering Authors: Amirhossein Bahmanpour Seyed Majid Ghoreishian Azadeh Sepahvandi 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
Impact of fed-batch process intensification on the productivity and product quality of two CHO cell lines expressing unique novel molecular format proteins
In this study, the impact of a high inoculation density (HID) fed-batch process on the productivity and product quality attributes of two CHO cell lines expressing unique NMFs, a monospecific antibody with an Fc-fusion protein and a bispecific antibody, compared to low inoculation density (LID) platform fed-batch processes was evaluated. It was observed that an intensified platform fed-batch process increased product concentrations by 33 and 109% for the two uniquely structured complex proteins in a shorter culture duration while maintaining similar product quality attributes to traditional fed-batch processes.PMID:3865384...
Source: Bioprocess and Biosystems Engineering - April 23, 2024 Category: Biomedical Engineering Authors: Nicolas Q Wolnick Marissa R Dickson Thaddaeus A Webster Roger P Connolly Nancy Fernandes Vesela Encheva Hunter Crittenden Jessica Hodgkins Brian C Hadley Gabriella Palermo Shannon J Hendrick Roy A Newell Genevieve Gray Christian Siltanen Julia Armstrong B 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
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
