AI Article Synopsis

  • COVID-19 highlighted the urgent need for rapid diagnostic testing, revealing the limitations of traditional RT-qPCR methods, which are complex and time-consuming.
  • Loop-mediated isothermal amplification (LAMP) emerged as a faster, more flexible, and cost-effective alternative for detecting SARS-CoV-2 during the pandemic, though there was a need to scale this testing method due to increased demand.
  • The TOMi corona initiative developed the SMART-LAMP system, capable of processing 40,000 samples daily with comparable sensitivity to RT-qPCR, while focusing on sustainability and improving pandemic preparedness through automated testing technologies.

Article Abstract

The coronavirus disease 2019 (COVID-19) pandemic underscored the necessity for rapid and efficient diagnostic testing to mitigate outbreaks and control disease transmission. While real-time reverse transcriptase quantitative PCR (RT-qPCR) has been the gold standard due to its high sensitivity and specificity, its logistical complexities and extended turnaround times highlighted the need for alternative molecular methods and non-standard equipment and consumables not subject to supply chain pressure. Loop-mediated isothermal amplification (LAMP) offers several advantages over RT-qPCR, including faster processing time, assay flexibility and cost-effectiveness. During the pandemic, LAMP was successfully demonstrated as a viable alternative to RT-qPCR for SARS-Related Coronavirus 2 detection. However, due to a 100 to 1,000-fold increase in testing volumes, there was an imminent need for automating and scaling up existing LAMP testing workflows leveraging a robotic infrastructure, while retaining analytical performance and cost-effectiveness. In 2020, the Foundation TOMi started the "TOMi corona initiative" to develop and validate a high-throughput, end-to-end, automated, scalable single-step RNA purification, and LAMP-based COVID-19 testing system called SMART-LAMP (Scalable Molecular Automation for Rapid Testing using LAMP) that can process up to 40,000 samples per day using existing laboratory equipment infrastructure with sensitivity comparable to RT-qPCR. This system provides a rapid and scalable diagnostic solution for future pandemics, capable of processing over 40,000 samples per day. In addition, the system is designed to minimize consumable costs and reduces the overall use of plastics to align with increasingly strict sustainability goals that will be imposed over the coming years. Importantly, this system and public-private partnerships in the TOMi corona initiative has the potential to serve as a baseline to enhance pandemic preparedness and response capabilities.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11634539PMC
http://dx.doi.org/10.1093/biomethods/bpae090DOI Listing

Publication Analysis

Top Keywords

diagnostic testing
8
pandemic preparedness
8
40000 samples
8
samples day
8
testing
6
lamp
5
development large-scale
4
rapid
4
large-scale rapid
4
rapid lamp
4

Similar Publications

Objectives: Approximal caries diagnosis in children is difficult, and artificial intelligence-based research in pediatric dentistry is scarce. To create a convolutional neural network (CNN)-based diagnostic system for the prompt and efficient identification of approximal caries in pediatric patients aged 5-12 years.

Materials And Methods: Pediatric patients' digital periapical radiographic images were collected to create a unique dataset.

View Article and Find Full Text PDF

Hepatocellular carcinoma (HCC) is a prevalent cancer that significantly contributes to mortality globally, primarily due to its late diagnosis. Early detection is crucial yet challenging. This study leverages the potential of deep learning (DL) technologies, employing the You Only Look Once (YOLO) architecture, to enhance the detection of HCC in computed tomography (CT) images, aiming to improve early diagnosis and thereby patient outcomes.

View Article and Find Full Text PDF

Introduction: Amblyopia, the leading cause of monocular childhood vision loss, affects millions and is projected to increase. Early detection and treatment are crucial for preventing vision impairment.

Areas Covered: This commentary reviews the current state and opportunities for improvement in amblyopia screening strategy and technology focused primarily within the United States.

View Article and Find Full Text PDF

Novel technologies for the diagnosis of urinary tract infections.

J Clin Microbiol

January 2025

Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Urinary tract infections (UTIs) impose a substantial burden on patient quality of life and urine testing accounts for the majority of workload in many clinical microbiology laboratories. Traditional UTI diagnosis relies on symptoms, urinalysis, and culture which are interpreted based on historical guidelines. This approach, while foundational, presents limitations, particularly in complex cases.

View Article and Find Full Text PDF

Erythropoietic protoporphyria (EPP) and X-linked protoporphyria (XLP) are rare genetic disorders. There are limited data regarding how these disorders are managed in real-world settings. The aim of this study was to document the characteristics and treatment patterns among patients diagnosed with EPP or XLP in general real-world settings in the United States.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!