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.
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http://dx.doi.org/10.1093/biomethods/bpae090 | DOI Listing |
Acta Odontol Scand
January 2025
Electronic and Department of Electronics and Automation, Tekirdag Namik Kemal University, Tekirdag, Turkey.
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.
Turk J Gastroenterol
December 2024
Department of General Surgery, Kocaeli University Faculty of Medicine, Kocaeli, Türkiye.
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 PDFExpert Rev Med Devices
January 2025
Division of Ophthalmology, Children's Hospital of Philadelphia.
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.
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 PDFJ Dermatol
January 2025
Mitsubishi Tanabe Pharma America, Inc., Jersey City, New Jersey, USA.
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.
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