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Diagnostics
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Advances in Infectious Disease Diagnosis Technologies
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Advances in Infectious Disease Diagnosis Technologies

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Diagnostic Microbiology and Infectious Disease".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 891

Special Issue Editors

Dr. Dakai Liu

E-Mail
Guest Editor
Department of Pathology and Clinical Laboratories, NewYork-Presbyterian Queens, 56-45 Main Street Flushing, New York, NY 11355, USA
Interests: COVID; SARS-CoV-2
Dr. Fermina Maria Mazzella

E-Mail Website
Co-Guest Editor
Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, USA
Interests: clinical pathology; hematology

Special Issue Information

Dear Colleagues,

This Special Issue focuses on cutting-edge advancements in infectious disease diagnostic technologies. It highlights the latest innovations, such as high-throughput sequencing, artificial intelligence, and other transformative tools that are revolutionizing our capacity to detect, identify, and manage infectious diseases. The contributions underscore the critical role of accurate and rapid diagnostics in controlling outbreaks, improving patient outcomes, and strengthening global health security. By bringing together leading experts, this Special Issue aims at addressing the challenges, exploring the opportunities, and outlining future directions in this fast-evolving field through research articles and reviews.

1. High-throughput sequencing

The integration of real-time genomic and epidemiologic surveillance is critical for rapidly diagnosing, tracking, and controlling infectious disease outbreaks.

2. Artificial intelligence

The application of artificial intelligence in the diagnostic field may open up potential possibilities for the automated detection and analysis of infectious diseases.

3. Digital images

High-resolution digital images can aid in analyzing complex diagnostic data quickly, enhancing diagnostic precision.

4. Radiological imaging

Advanced nuclear medicine and proton magnetic resonance spectroscopy could increase the ability to detect and monitor infections.

5. Point-of-care testing

Syndromic and multiplex assays can empower POC testing. The incorporation of artificial intelligence can improve efficiency, accuracy, and accessibility.

Dr. Dakai Liu
Dr. Fermina Maria Mazzella
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. Diagnostics 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

  • molecular diagnosis
  • biomarkers
  • microbial culture and identification
  • high-throughput sequencing
  • infectious diseases
  • artificial intelligence
  • digital image
  • radiological imaging
  • point-of-care testing

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Research

13 pages, 822 KiB  
Article
Comparative Analysis of RT-PCR and a Colloidal Gold Immunochromatographic Assay for SARS-CoV-2 Detection
by Hui Li, Dakai Liu, Qiang Zhou, George D. Rodriguez, Harlan Pietz, Vishnu Singh, Eric Konadu, Keither K. James, Calvin Lui, Mingyu Shao, Junyu Chen, Andrew Schreiner, Carl Urban, James Truong, Nishant Prasad and William Harry Rodgers
Diagnostics 2025, 15(11), 1362; https://doi.org/10.3390/diagnostics15111362 - 28 May 2025
Viewed by 429
Abstract
Background/Objectives: The COVID-19 pandemic has highlighted the urgent need for rapid, accurate, and accessible diagnostic testing to effectively manage and contain the spread of SARS-CoV-2. RT-PCR is widely recognized as the gold standard for SARS-CoV-2 detection due to its high sensitivity and specificity. [...] Read more.
Background/Objectives: The COVID-19 pandemic has highlighted the urgent need for rapid, accurate, and accessible diagnostic testing to effectively manage and contain the spread of SARS-CoV-2. RT-PCR is widely recognized as the gold standard for SARS-CoV-2 detection due to its high sensitivity and specificity. However, RT-PCR testing requires specialized laboratory equipment, highly trained personnel, and extended processing times, which limits its feasibility for large-scale screening and point-of-care applications. This study aims to systematically evaluate the diagnostic performance of RT-PCR and a colloidal gold immunochromatographic assay (GICA). Methods: By comparing these two methods, we seek to determine a GICA’s effectiveness as a complementary or alternative diagnostic tool, particularly in resource-limited settings and scenarios requiring rapid, large-scale testing. We assessed the following key clinical parameters: sensitivity, specificity, NPV, PPV, and accuracy. Additionally, we investigated the correlation between GICA signal intensity and RT-PCR Ct values using regression analysis, receiver operating characteristic curve analysis, and the calculated area under the curve. Results: Our findings indicate that while RT-PCR exhibits superior sensitivity, GICA results demonstrate a strong correlation with RT-PCR results and provide a rapid, cost-effective alternative for SARS-CoV-2 detection. Unlike RT-PCR, which requires extensive resources and prolonged turnaround times, a GICA delivers results within 20 min, making it a viable option for decentralized testing and real-time public health interventions. Conclusions: These results suggest that a GICA can serve as a complementary diagnostic tool alongside RT-PCR, particularly in resource-limited settings and high-throughput screening scenarios. By integrating GICAs into broader testing strategies, healthcare systems can enhance early detection efforts, improve accessibility to diagnostics, and strengthen pandemic response measures. Full article
(This article belongs to the Special Issue Advances in Infectious Disease Diagnosis Technologies)
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