Preface: International Conference on Recent Advancements in Biomedical Engineering - 2021 (open access)

Preface: International Conference on Recent Advancements in Biomedical Engineering - 2021

This article showcasing the editorial team welcomes all readers to the proceedings of International Conference on Recent Advancements in Biomedical Engineering (ICRABE-2021). The conference was inspired by the fusion of science and engineering principles in healthcare services and products. The conference aims to initiate exchange of innovative ideas between students, research scholar and faculties. Specifically, mechanical principles, power control for medical devices, nanomaterials and associated technologies were focused. This proceeding comprises of a broad spectrum of techniques to expose the recent advancements in the field of physics for healthcare application. A List of the Organizing Committee, Advisory Committee, Technical Committee are available in the pdf.
Date: 2021
Creator: International Conference on Recent Advancements in Biomedical Engineering
System: The UNT Digital Library
Overview of MMP-13 as a Promising Target for the Treatment of Osteoarthritis (open access)

Overview of MMP-13 as a Promising Target for the Treatment of Osteoarthritis

This article is a review that illustrates the involvement of MMP-13 in the initiation and progression of Osteoarthritis (OA) through the regulation of MMP-13 activity at the molecular and epigenetic levels, as well as the strategies that have been employed against MMP-13. The aim of this review is to identify MMP-13 as an attractive target for inhibitor development in the treatment of OA.
Date: February 9, 2021
Creator: Hu, Qichan & Ecker, Melanie
System: The UNT Digital Library
Detection of Parkinson's Disease Through Automated Pupil Tracking of the Post-illumination Pupillary Response (open access)

Detection of Parkinson's Disease Through Automated Pupil Tracking of the Post-illumination Pupillary Response

This article describes a system for pupil size estimation with a user interface to allow rapid adjustment of parameters and extraction of pupil parameters of interest in order to identify Parkinson's disease (PD) as early as possible.
Date: March 25, 2021
Creator: Tabashum, Thasina; Zaffer, Adnaan; Yousefzai, Raman; Colletta, Kalea; Jost, Mary Beth; Park, Youngsook et al.
System: The UNT Digital Library
Using a microprocessor knee (C-Leg) with appropriate foot transitioned individuals with dysvascular transfemoral amputations to higher performance levels: a longitudinal randomized clinical trial (open access)

Using a microprocessor knee (C-Leg) with appropriate foot transitioned individuals with dysvascular transfemoral amputations to higher performance levels: a longitudinal randomized clinical trial

Article evaluating whether advanced prostheses can provide better safety and performance capabilities to maintain and improve quality of life in individuals who are predominantly designated MFCL level K2. This study used a 13 month longitudinal clinical trial to determine the benefits of using a C-Leg and 1M10 foot in individuals at K2 level with transfemoral amputation due to vascular disease.
Date: May 25, 2021
Creator: Jayaraman, Chandrasekaran; Mummidisetty, Chaithanya K.; Albert, Mark; Lipschutz, Robert; Hoppe-Ludwig, Shenan; Mathur, Gayatri et al.
System: The UNT Digital Library
Differential Responses of Transplanted Stem Cells to Diseased Environment Unveiled by a Molecular NIR-II Cell Tracker (open access)

Differential Responses of Transplanted Stem Cells to Diseased Environment Unveiled by a Molecular NIR-II Cell Tracker

This article develops a molecular cell tracker with a strong fluorescence signal in the second near-infrared (NIR-II) window (1,000-1,700 nm) for real-time monitoring of in vivo cell behaviors in both healthy and diseased animal models to address the issue of precisely and quantitatively evaluating the in vivo cell distribution, migration, and engraftment in stem cell therapy.
Date: June 9, 2021
Creator: Chen, Hao; Yang, Huaxiao; Zhang, Chen; Chen, Si; Zhao, Xin; Zhu, Mark et al.
System: The UNT Digital Library
Deep learning for peptide identification from metaproteomics datasets (open access)

Deep learning for peptide identification from metaproteomics datasets

This article explores a proposed deep-learning-based algorithm called DeepFilter for improving peptide identifications from a collection of tandem mass spectra. The authors find that DeepFilter is believed to generalize properly to new, previously unseen peptide-spectrum-matches and can be readily applied in peptide identification from metaproteomics data.
Date: July 8, 2021
Creator: Feng, Shichao; Sterzenbach, Ryan & Guo, Xuan
System: The UNT Digital Library
Bioengineering Systems for Modulating Notch Signaling in Cardiovascular Development, Disease, and Regeneration (open access)

Bioengineering Systems for Modulating Notch Signaling in Cardiovascular Development, Disease, and Regeneration

This article is a review summarizing the significant roles of Notch signaling in individual cardiac cell types. It covers the bioengineering systems of microfluidics, hydrogel, spheroid, and 3D bioprinting and provides insights into ancillary supports of bioengineering systems, varied types of cardiovascular cells, and advanced characterization approaches in further refining Notch signaling in cardiovascular development, disease, and regeneration.
Date: September 30, 2021
Creator: Huerta Gomez, Angello; Joshi, Sanika; Yang, Yong; Tune, Johnathan D. & Zhao, Ming-Tao
System: The UNT Digital Library
Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook (open access)

Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook

This article presents a consolidated review of Independent Component Analysis (ICA) as an efficient neural coding scheme with the ability to model early visual and auditory neural processing.
Date: October 19, 2021
Creator: Urs, Namratha; Behpour, Sahar; Georgaras, Angie & Albert, Mark
System: The UNT Digital Library