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Processes
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Systematic Design, Testing and Development of In Vitro Diagnostic Instruments
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Systematic Design, Testing and Development of In Vitro Diagnostic Instruments

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Biological Processes and Systems".

Deadline for manuscript submissions: closed (10 February 2024) | Viewed by 9815

Special Issue Editors

Prof. Dr. Lei Wang

E-Mail Website
Guest Editor
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
Interests: medical laboratory technology based on machine vision and image processing; medical Internet of things and big data application; intelligent in vitro diagnostic instrument
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Hai Huang

E-Mail Website
Guest Editor
School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China
Interests: digital signal processing; information and network security; healthcare big data analysis technology

Special Issue Information

Dear Colleagues,

The design, testing and development of in vitro diagnostic instruments is a comprehensive and systematic project involving many disciplines. In recent years, with the rapid development of biomedical engineering, information technology, medical testing and other theories and technologies, the requirements for the intelligence, convenience and integration of in vitro diagnostic instruments are increasing. In order to meet the needs of design, testing and development technology and the product market of in vitro diagnostic instruments, relevant personnel in scientific and technological circles and industry have achieved a series of achievements in many fields.

This Special Issue on “Systematic Design, Testing and Development of in Vitro Diagnostic Instruments” aims to gather outstanding research and comprehensive coverage of all aspects related to the design, testing and development technologies of in vitro diagnostic instruments, covering a wide range of multi-domain methods to improve the intelligence and overall performance of in vitro diagnostic instruments. This Special Issue will bring together high-quality research articles on different aspects of systematic design, testing and development technologies of in vitro diagnostic instruments, including the current status and remaining challenges. Topics include, but are not limited to:

  • Systematic design theories and methods of in vitro diagnostic instruments;
  • Test standards, procedures and methods of in vitro diagnostic instruments;
  • Software and hardware integrated development methods of in vitro diagnostic instruments.

Prof. Dr. Lei Wang
Prof. Dr. Hai Huang
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. Processes is an international peer-reviewed open access monthly 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 2400 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

  • in vitro diagnostic instrument
  • systematic design theory
  • test standards
  • test procedures
  • software development method
  • hardware integrated method
  • intelligent testing

Published Papers (5 papers)

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Research

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13 pages, 6852 KiB  
Article
Diagnosis of Osteoarthritis at an Early Stage via Infrared Spectroscopy Combined Chemometrics in Human Serum: A Pilot Study
by Atiqah Ab Aziz, Veenesh Selvaratnam, Yasmin Fadzlin Binti Ahmad Fikri, Muhamad Shirwan Abdullah Sani and Tunku Kamarul
Processes 2023, 11(2), 404; https://doi.org/10.3390/pr11020404 - 29 Jan 2023
Cited by 1 | Viewed by 1288
Abstract
Methods applied for early diagnosis of osteoarthritis (OA) are limited. Early prevention and treatment can effectively reduce the pain of OA patients and save costs. The present study aimed to develop a rapid non-destructive detection method for early diagnosis of OA by evaluating [...] Read more.
Methods applied for early diagnosis of osteoarthritis (OA) are limited. Early prevention and treatment can effectively reduce the pain of OA patients and save costs. The present study aimed to develop a rapid non-destructive detection method for early diagnosis of OA by evaluating infrared (IR) spectroscopy combined chemometrics. Our cohort consisted of (a) 15 patients with osteoarthritis (OA) and (b) 10 without clinical signs of the disease and they were used as controls. Attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy was used to investigate serum samples (50 µL) collected from these patients. A supervised classification algorithm namely discriminant analysis (DA) was applied to evaluate the diagnostic accuracy spectral processing and chemometrics analysis allowed for detecting spectral biomarkers that discriminated the two cohorts. About 250 infrared spectra were statistically important for separating the groups. Peaks at 1000 cm−1 in OA serum were associated mainly with C–O stretching vibration associated with the changes in the proteoglycan contents previously reported in OA. A good overall classification accuracy of 74.47% was obtained from the DA model. Our findings indicated that this discriminating model, which incorporated the ATR-FTIR spectrum, could provide a rapid and cost-effective blood test, thus facilitating the early diagnosis of human OA. Full article
(This article belongs to the Special Issue Systematic Design, Testing and Development of In Vitro Diagnostic Instruments)
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17 pages, 2620 KiB  
Article
A Hybrid Recommendation Approach for Medical Services That Incorporates Knowledge Graphs
by Chao Ma, Qi An, Zhenguo Yang, Hongguo Zhang and Jiaxing Qu
Processes 2022, 10(8), 1500; https://doi.org/10.3390/pr10081500 - 29 Jul 2022
Viewed by 1036
Abstract
At present, there are a large number of growing medical applications in the application market. It is difficult for users to find satisfactory medical services conveniently and efficiently. The classical collaborative filtering algorithm has some problems, such as cold start, unsatisfactory recommendation results, [...] Read more.
At present, there are a large number of growing medical applications in the application market. It is difficult for users to find satisfactory medical services conveniently and efficiently. The classical collaborative filtering algorithm has some problems, such as cold start, unsatisfactory recommendation results, and so on. This paper proposes a hybrid medical service recommendation approach based on knowledge graph to solve the above problems. This approach introduces the open knowledge graph and establishes the semantic link relationship between the mobile application and the knowledge graph entity. It not only enhances the semantic feature of single application for improving the accuracy of recommendation results, but also realizes the in-depth analysis of the semantic relationship among multiple application entities in the knowledge graph through the TransHR model which can alleviate the cold start problem. Then we design a hybrid recommendation algorithm based on multi-dimensional similarity fusion. This algorithm uses the entropy method to organically integrate the calculation results of multi-dimensional semantic similarity, such as feature vector similarity, entity relation similarity, and user rating similarity. It is convenient and efficient to recommend satisfactory medical application services to target users. Finally, we test and analyze the accuracy and effectiveness of our proposed approach by experiment. Full article
(This article belongs to the Special Issue Systematic Design, Testing and Development of In Vitro Diagnostic Instruments)
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8 pages, 1653 KiB  
Article
The Trace Gas Monitoring Method Based on Diode Laser Wavelength-Modulation Spectroscopy Technology for the Detection of Clinical Blood Infection
by Jing Sun, Yuxiao Song, Dongxin Shi, Feifei Wang, Yong Yang, Pengyu Yao, Binghong Song, Yang Yu, Chenyu Jiang and Bingqiang Cao
Processes 2022, 10(8), 1450; https://doi.org/10.3390/pr10081450 - 25 Jul 2022
Viewed by 1177
Abstract
It is important to monitor and evaluate the growth of microorganisms in order to accurately judge the situation of blood microbial infection. In this paper, diode laser wavelength modulation spectroscopy (DLWMS) technology is used to design a set of low-cost, high sensitivity, fast [...] Read more.
It is important to monitor and evaluate the growth of microorganisms in order to accurately judge the situation of blood microbial infection. In this paper, diode laser wavelength modulation spectroscopy (DLWMS) technology is used to design a set of low-cost, high sensitivity, fast dynamic responses and a non-invasive trace gas measurement system, which can quickly and accurately assess the concentration of carbon dioxide (CO2) produced by blood microbial reproduction. The measurement principle and spectral processing algorithm of DLWMS are introduced first. The automatic and rapid detection of CO2 is realized through a self-designed optical system. By using the system to detect blood infection, the accuracy of the technology was verified. Therefore, it also indicates that DLWMS CO2 monitoring is a highly sensitive, fast-response and non-invasive technology, which can accurately and quickly determine blood infection and meet the clinical application requirements of human septicemia, bacteremia and other diseases. Full article
(This article belongs to the Special Issue Systematic Design, Testing and Development of In Vitro Diagnostic Instruments)
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15 pages, 2179 KiB  
Article
Virtual Screening of Drug Proteins Based on the Prediction Classification Model of Imbalanced Data Mining
by Lili Yin, Xiaokang Du, Chao Ma and Hengwen Gu
Processes 2022, 10(7), 1420; https://doi.org/10.3390/pr10071420 - 21 Jul 2022
Cited by 2 | Viewed by 1343
Abstract
We propose a virtual screening method based on imbalanced data mining in this paper, which combines virtual screening techniques with imbalanced data classification methods to improve the traditional virtual screening process. First, in the actual virtual screening process, we apply k-means and smote [...] Read more.
We propose a virtual screening method based on imbalanced data mining in this paper, which combines virtual screening techniques with imbalanced data classification methods to improve the traditional virtual screening process. First, in the actual virtual screening process, we apply k-means and smote heuristic oversampling method to deal with imbalanced data. Meanwhile, to enhance the accuracy of the virtual screening process, a particle swarm optimization algorithm is introduced to optimize the parameters of the support vector machine classifier, and the concept of ensemble learning is brought in. The classification technique based on particle swarm optimization, support vector machine and adaptive boosting is used to screen the molecular docking conformation to improve the accuracy of the prediction. Finally, in the experimental construction and analysis section, the proposed method was validated using relevant data from the protein data bank database and PubChem database. The experimental results indicated that the proposed method can effectively improve the accuracy of virus screening and has practical guidance for new drug development. This research regards virtual screening as a problem of imbalanced data classification, which has obvious guiding significance and also provides a certain reference for the problems faced by virtual screening technology. Full article
(This article belongs to the Special Issue Systematic Design, Testing and Development of In Vitro Diagnostic Instruments)
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Review

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19 pages, 692 KiB  
Review
Methods and Advances in the Design, Testing and Development of In Vitro Diagnostic Instruments
by Lei Wang, Wenchang Xu, Biao Wang, Xiaonan Si and Shengyu Li
Processes 2023, 11(2), 403; https://doi.org/10.3390/pr11020403 - 29 Jan 2023
Cited by 3 | Viewed by 4055
Abstract
With the continuous improvement of medical testing and instrumentation engineering technologies, the design, testing and development methods of in vitro diagnostic instruments are developing rapidly. In vitro diagnostic instruments are also gradually developing into a class of typical high-end medical equipment. The design [...] Read more.
With the continuous improvement of medical testing and instrumentation engineering technologies, the design, testing and development methods of in vitro diagnostic instruments are developing rapidly. In vitro diagnostic instruments are also gradually developing into a class of typical high-end medical equipment. The design of in vitro diagnostic instruments involves a variety of medical diagnostic methods and biochemical, physical and other related technologies, and its development process involves complex system engineering. This paper systematically organizes and summarizes the design, testing and development methods of in vitro diagnostic instruments and their development in recent years, focusing on summarizing the related technologies and core aspects of the R&D process, and analyzes the development trend of the in vitro diagnostic instrument market. Full article
(This article belongs to the Special Issue Systematic Design, Testing and Development of In Vitro Diagnostic Instruments)
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