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Molecular diagnosis of COVID-19 is critical to the control of the pandemic, which is a major threat to global health. Several molecular tests have been validated by WHO, but would require operational evaluation in the field to ensure their interoperability in diagnosis. In order to ensure field interoperability in molecular assays for detection of SARS-CoV-2 RNA, we evaluated the diagnostic concordance of SARS-CoV-2 between an automated () and a manual () realtime PCR (rRT-PCR), two commonly used assays in Africa. A comparative study was conducted on 287 nasopharyngeal specimens at the Chantal BIYA International Reference Centre (CIRCB) in Yaounde- Cameroon. Samples were tested in parallel with and rRT-PCR, and performance characteristics were evaluated by Cohen's coefficient and Spearman's correlation. A total of 273 participants [median age (IQR) 36 (26-46) years] and 14 EQA specimens were included in the study. Positivity was on 30.0% (86/287) and 37.6% (108/287) . Overall agreement was 82.6% (237/287), with k=0.82 (95%CI: 0.777-0.863), indicating an excellent diagnostic agreement. The positive and negative agreement was 66.67% (72/108) and 92.18 % (165/179) respectively. Regarding Viral Load (VL), positive agreement was 100% for samples with high VLs (CT<20). Among positive SARS-CoV- 2 cases, the mean difference in Cycle Threshold (CT) for the manual and Cycle Number (CN) for the automated was 6.75±0.3. The excellent agreement (>80%) between the and rRTPCR platforms supports interoperability between the two assays. Discordance occurs at low-VL, thus underscoring these tools as efficient weapons in limiting SARS-CoV-2 community transmission.
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http://dx.doi.org/10.4081/jphia.2022.2163 | DOI Listing |
Cell Tissue Bank
September 2025
Eurofins Donor & Product Testing, LLC, Centennial, CO, USA.
In the United States, the use of Food & Drug Administration (FDA)-licensed, approved, or cleared tests is required for infectious disease screening and determining the eligibility of deceased donors for all Human Cells, Tissues, and Cellular and Tissue-Based Products (HCT/Ps). With the discontinuation of two manual enzyme-linked immunoassay (EIA) tests, automated Chemiluminescent Microparticle Immunoassay (CMIA) technology was introduced as the primary alternative. This study compares serologic reactivity rates between manual EIA and automated CMIA methods.
View Article and Find Full Text PDFVestn Oftalmol
September 2025
OOO Prostranstvo intellektual'nykh reshenij, Novorossiysk, Russia.
Unlabelled: Automated analysis of optical coherence tomography (OCT) biomarkers improves the prediction of results of loading anti-VEGF therapy of vascular pigment epithelial detachment (PED) associated with neovascular age-related macular degeneration (nAMD).
Objective: This study evaluated the effectiveness of OCT biomarker analysis algorithm in predicting the anatomical outcomes of loading anti-VEGF therapy for vascular PED in nAMD.
Material And Methods: OCT scans performed prior to loading anti-VEGF therapy were analyzed using the algorithm in 69 treatment-naïve nAMD patients (70 eyes) with vascular PED exceeding 200 µm in height.
mSystems
September 2025
Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Genome-scale metabolic models (GEMs) are widely used in systems biology to investigate metabolism and predict perturbation responses. Automatic GEM reconstruction tools generate GEMs with different properties and predictive capacities for the same organism. Since different models can excel at different tasks, combining them can increase metabolic network certainty and enhance model performance.
View Article and Find Full Text PDFJ Adv Prosthodont
August 2025
Department of Prosthodontics, School of Dentistry, Kyungpook National University, Daegu, Republic of Korea.
Purpose: Designing restorations remains challenging because the process is time-consuming and requires operator skill and experience. This clinical study evaluated the fit accuracy of polymerized complete crowns fabricated using a web-based 3D generative artificial intelligence design (GAID) method compared to crowns fabricated using a conventional computer-aided design (CCAD) method.
Materials And Methods: Sixty-two patients requiring complete crowns in maxillary and mandibular premolars and molars were enrolled.
JAMIA Open
October 2025
Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MA, United States.
Objectives: Unstructured data, such as procedure notes, contain valuable medical information that is frequently underutilized due to the labor-intensive nature of data extraction. This study aims to develop a generative artificial intelligence (GenAI) pipeline using an open-source Large Language Model (LLM) with built-in guardrails and a retry mechanism to extract data from unstructured right heart catheterization (RHC) notes while minimizing errors, including hallucinations.
Materials And Methods: A total of 220 RHC notes were randomly selected for pipeline development and 200 for validation from the Pulmonary Vascular Disease Registry.