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Clinical Medicine of Healthcare and Sustainability 2021
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Clinical Medicine of Healthcare and Sustainability 2021

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Epidemiology & Public Health".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 6606

Special Issue Editors

Prof. Dr. Teen-Hang Meen

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Guest Editor
Department of Electronic Engineering, National Formosa University, Yunlin City 632, Taiwan
Interests: IoT devices; photovoltaic devices; STEM education
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Fukuyama Yoshiyasu

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Guest Editor
Department of Pharmaceutical Sciences, Tokushima Bunri University, Nishihama, Yamashiro-cho, Tokushima 770-8514, Japan
Interests: neuronal cell differentiation and growth; research to find neurotrophic-factor-like substances from plants that help maintain survival; development of chemical reactions of palladium catalysts
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Charles Tijus

E-Mail Website
Guest Editor
Director of the Cognitions Humaine et Artificielle Laboratory, University Paris 8, 93526 Saint-Denis, France
Interests: internet of objects; data mining; brain–computer interaction
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Po-Lei Lee

E-Mail Website
Guest Editor
Department of Electrical Engineering, National Central University, Taoyuan 32001, Taiwan
Interests: digital signal processing; EEG processing; image processing; medical ultra
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 3rd IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability 2021 (IEEE ECBIOS 2021; http://www.ecbios.asia) will be held in Tainan, Taiwan on 28−30 May 2021, and will provide a unified communication platform for researchers in the topics of biomedical engineering, healthcare and sustainability. Recently, healthcare has been undergoing a sector-wide transformation thanks to advances in computing, networking technologies, big data, and artificial intelligence. Healthcare is not only changing from reactive and hospital-centered to preventive and personalized, it is also changing from a focus on disease to become centered around well-being. Healthcare systems and fundamental medicine research are becoming smarter and integrated with biomedical engineering. Furthermore, with cutting-edge sensors and computer technologies, healthcare delivery could also yield better efficiency, higher quality, and lower cost.

This Special Issue on “Clinical Medicine of Healthcare and Sustainability 2021” is expected to select excellent papers presented in IEEE ECBIOS 2021 and other high-quality papers about Clinical Medicine of Healthcare and Sustainability. It provides a platform for advances in health care/clinical practices and the study of the direct observation of patients and general medical research. Potential topics include, but are not limited to:

  • Traumatology and precise surgical techniques
  • Genomics, proteomics, and bioinformatics in clinical cancer research
  • Epidemiology
  • Neurological and psychiatric disorders
  • Advanced research in dermatology and venereology
  • Ophthalmology and otolaryngology
  • Medical imaging and nuclear medicine
  • Rehabilitation medicine and physiotherapy
  • Sports medicine
  • Pediatric and geriatric emergency care

Prof. Dr. Teen-­Hang Meen
Prof. Dr. Fukuyama Yoshiyasu
Prof. Dr. Charles Tijus
Prof. Dr. Po-Lei Lee
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • genomics, proteomics, and bioinformatics in clinical cancer research
  • epidemiology
  • neurological and psychiatric disorders
  • rehabilitation medicine and physiotherapy
  • sports medicine
  • pediatric and geriatric emergency care

Published Papers (3 papers)

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Research

12 pages, 628 KiB  
Article
Association of Plasma Branched-Chain and Aromatic Amino Acids with Reduction in Kidney Function Evaluated in Apparently Healthy Adults
by MH Mahbub, Natsu Yamaguchi, Yuki Nakagami, Ryosuke Hase, Hidekazu Takahashi, Yasutaka Ishimaru, Rie Watanabe, Hiroyuki Saito, Junki Shimokawa, Hiroshi Yamamoto, Shinya Kikuchi and Tsuyoshi Tanabe
J. Clin. Med. 2021, 10(22), 5234; https://doi.org/10.3390/jcm10225234 - 10 Nov 2021
Cited by 9 | Viewed by 1735
Abstract
The published literature on the association of circulatory branched-chain amino acids (BCAAs) and aromatic amino acids (AAAs) with reduced kidney function is inconsistent or conflicting. Clarification of it might help to better understand the underlying pathophysiology and to determine potential biomarkers for early [...] Read more.
The published literature on the association of circulatory branched-chain amino acids (BCAAs) and aromatic amino acids (AAAs) with reduced kidney function is inconsistent or conflicting. Clarification of it might help to better understand the underlying pathophysiology and to determine potential biomarkers for early detection and evaluation of kidney function decline. Our main purpose was to explore and clarify the potential relationships of individual BCAAs and AAAs with estimated glomerular filtration rate (eGFR) decline. We included the data from 2804 healthy subjects and categorized them into three groups based on eGFR tertiles. The associations between individual amino acids and eGFR were explored by covariate-adjusted logistic regression models. There was a progressive increase in the concentrations of BCAAs and AAAs from the upper to the lower tertiles. We revealed significant positive associations of isoleucine, leucine, and phenylalanine with lower tertiles of eGFR in the adjusted models (p < 0.01–0.001). The findings hold a promising potential of using plasma isoleucine, leucine, and phenylalanine levels for evaluation of kidney function decline. Future longitudinal studies should investigate the causal association between altered levels of these amino acids and impaired kidney function and also the utility of the former as potential biomarkers for evaluating the risk and early detection of the latter. Full article
(This article belongs to the Special Issue Clinical Medicine of Healthcare and Sustainability 2021)
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11 pages, 2146 KiB  
Article
Automatic Segmentation of Specific Intervertebral Discs through a Two-Stage MultiResUNet Model
by Yu-Kai Cheng, Chih-Lung Lin, Yi-Chi Huang, Jui-Chi Chen, Tzu-Peng Lan, Zhen-You Lian and Cheng-Hung Chuang
J. Clin. Med. 2021, 10(20), 4760; https://doi.org/10.3390/jcm10204760 - 17 Oct 2021
Cited by 11 | Viewed by 1756
Abstract
The automatic segmentation of intervertebral discs from medical images is an important task for an intelligent clinical system. In this study, a deep learning model based on the MultiResUNet model for the automatic segmentation of specific intervertebral discs is presented. MultiResUNet can easily [...] Read more.
The automatic segmentation of intervertebral discs from medical images is an important task for an intelligent clinical system. In this study, a deep learning model based on the MultiResUNet model for the automatic segmentation of specific intervertebral discs is presented. MultiResUNet can easily segment all intervertebral discs in MRI images; however, when only certain specific intervertebral discs need to be segmented, problems with segmentation errors, misalignment, and noise occur. In order to solve these problems, a two-stage MultiResUNet model is proposed. Connected-component labeling, automatic cropping, and distance transform are used in the proposed method. The experimental results show that the segmentation errors and misalignments of specific intervertebral discs are greatly reduced, and the segmentation accuracy is increased to about 94%. The performance of the proposed method proves its usefulness for the automatic segmentation of specific intervertebral discs over other deep learning models, such as the U-Net, CNN-based, Attention U-Net, and MultiResUNet models. Full article
(This article belongs to the Special Issue Clinical Medicine of Healthcare and Sustainability 2021)
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12 pages, 2131 KiB  
Article
State-Level Health Disparity Is Associated with Sarcoidosis Mortality
by Yu-Che Lee, Ko-Yun Chang and Mehdi Mirsaeidi
J. Clin. Med. 2021, 10(11), 2366; https://doi.org/10.3390/jcm10112366 - 27 May 2021
Cited by 5 | Viewed by 2179
Abstract
Background: Sarcoidosis is associated with significant morbidity and rising health care utilization, which contribute to the health care burden and disease outcome. In the United States (US), evaluation of sarcoidosis mortality by individual states has not been investigated. Methods: We examined sarcoidosis mortality [...] Read more.
Background: Sarcoidosis is associated with significant morbidity and rising health care utilization, which contribute to the health care burden and disease outcome. In the United States (US), evaluation of sarcoidosis mortality by individual states has not been investigated. Methods: We examined sarcoidosis mortality data for 1999–2018 from the Centers for Disease Control and Prevention (CDC). America’s Health Rankings (AHR) assesses the nation’s health on a state-by-state basis to determine state health rankings. The numbers of certified Sarcoidosis Clinics within the US were obtained from World Association for Sarcoidosis and Other Granulomatous Disorders (WASOG) and Foundation for Sarcoidosis Research (FSR). The associations between sarcoidosis mortality and state health disparities were calculated by linear regression analyses. Results: From 1999 to 2018, the mean age-adjusted mortality rate (AAMR) in all populations, African Americans and European Americans were 2.9, 14.8, and 1.4 per 1,000,000 population, respectively. South Carolina had the highest AAMR for all populations (6.6/1,000,000) and African Americans (20.8/1,000,000). Both Utah and Vermont had the highest AAMR for European Americans (2.6/1,000,000). New York State and South Atlantic had the largest numbers of FSR-WASOG Sarcoidosis Clinics (6 and 13, respectively). States with better health rankings were significantly associated with lower AAMR in all population (R2 = 0.170, p = 0.003) but with higher AAMR in European Americans (R2 = 0.223, p < 0.001). Conclusions: There are significant variations in sarcoidosis mortality within the US. Sarcoidosis mortality was strongly associated with state health disparities. The current study suggests sarcoidosis mortality could be an indicator to reflect the state-level health care disparities in the US. Full article
(This article belongs to the Special Issue Clinical Medicine of Healthcare and Sustainability 2021)
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