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Extraction-free clinical detection of SARS-CoV-2 virus from saline gargle samples using Hamilton STARlet liquid handler
As part of the COVID-19 pandemic, clinical laboratories have been faced with massive increases in testing, resulting in sample collection systems,...
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Organocatalyst treatment improves variant calling and mutant detection in archival clinical samples
Formalin fixation of biological specimens damages nucleic acids and limits their use in genomic analyses. Previously, we showed that RNA isolation...
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Using nanopore sequencing to identify fungi from clinical samples with high phylogenetic resolution
The study of microbiota has been revolutionized by the development of DNA metabarcoding. This sequence-based approach enables the direct detection of...
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Patient-derived glioblastoma cell lines with conserved genome profiles of the original tissue
Glioblastoma (GBM) is the most lethal intracranial tumor. Sequencing technologies have supported personalized therapy for precise diagnosis and...
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Detection and quantification of infectious severe acute respiratory coronavirus-2 in diverse clinical and environmental samples
To explore the potential modes of Severe Acute Respiratory Coronavirus-2 (SARS-CoV-2) transmission, we collected 535 diverse clinical and...
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A suite of PCR-LwCas13a assays for detection and genoty** of Treponema pallidum in clinical samples
The performance of commonly used assays for diagnosis of syphilis varies considerably depending on stage of infection and sample type. In response to...
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Single-tube collection and nucleic acid analysis of clinical samples for SARS-CoV-2 saliva testing
The SARS-CoV-2 pandemic has brought to light the need for expedient diagnostic testing. Cost and availability of large-scale testing capacity has led...
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Restricting datasets to classifiable samples augments discovery of immune disease biomarkers
Immunological diseases are typically heterogeneous in clinical presentation, severity and response to therapy. Biomarkers of immune diseases often...
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Heat inactivation of clinical COVID-19 samples on an industrial scale for low risk and efficient high-throughput qRT-PCR diagnostic testing
We report the development of a large scale process for heat inactivation of clinical COVID-19 samples prior to laboratory processing for detection of...
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A novel difficult-to-segment samples focusing network for oral CBCT image segmentation
Using deep learning technology to segment oral CBCT images for clinical diagnosis and treatment is one of the important research directions in the...
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A distributable German clinical corpus containing cardiovascular clinical routine doctor’s letters
We present CARDIO:DE, the first freely available and distributable large German clinical corpus from the cardiovascular domain. CARDIO:DE encompasses...
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An original aneuploidy-related gene model for predicting lung adenocarcinoma survival and guiding therapy
Aneuploidy is a hallmark of cancers, but the role of aneuploidy-related genes in lung adenocarcinoma (LUAD) and their prognostic value remain...
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Original COVID-19 priming regimen impacts the immunogenicity of bivalent BA.1 and BA.5 boosters
Waning antibody responses after COVID-19 vaccination combined with the emergence of the SARS-CoV-2 Omicron lineage led to reduced vaccine...
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Bioorthogonal photocatalytic proximity labeling in primary living samples
In situ profiling of subcellular proteomics in primary living systems, such as native tissues or clinic samples, is crucial for understanding life...
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Characterization of non-invasive oropharyngeal samples and nucleic acid isolation for molecular diagnostics
Molecular diagnostics is an increasingly important clinical tool, especially in routine sampling. We evaluated two non-invasive methods (oral swabs...
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A machine learning method to process voice samples for identification of Parkinson’s disease
Machine learning approaches have been used for the automatic detection of Parkinson’s disease with voice recordings being the most used data type due...
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Evaluation of three protocols for direct susceptibility testing for gram negative-Enterobacteriaceae from patient samples in Uganda with SMS reporting
In Uganda, the challenge of generating and timely reporting essential antimicrobial resistance (AMR) data has led to overreliance on empirical...
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Clinical performance of AI-integrated risk assessment pooling reveals cost savings even at high prevalence of COVID-19
Individual testing of samples is time- and cost-intensive, particularly during an ongoing pandemic. Better practical alternatives to individual...
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Large language models streamline automated machine learning for clinical studies
A knowledge gap persists between machine learning (ML) developers (e.g., data scientists) and practitioners (e.g., clinicians), hampering the full...
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Epigenomic analysis of formalin-fixed paraffin-embedded samples by CUT&Tag
For more than a century, formalin-fixed paraffin-embedded (FFPE) sample preparation has been the preferred method for long-term preservation of...
