LAUSR

Optimized Expression, Purification, and Rapid Detection of Recombinant Influenza Nucleoproteins Expressed in Sf9 Insect Cells.

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0 Published in 2018 at "Journal of microbiology and biotechnology"

DOI: 10.0414/jmb.1805.05053

Abstract: Accurate and rapid diagnosis of influenza infection is essential to enable early antiviral treatment and reduce the mortality associated with seasonal and epidemic infections.Immunochromatography is one of the most common methods used for the diagnosis… read more here.

Keywords: detection; diagnosis; influenza; insect cells ... See more keywords

Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy.

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0 Published in 2021 at "JAMA network open"

DOI: 10.1001/jamanetworkopen.2021.34254

Abstract: Importance Diabetic retinopathy (DR) is a leading cause of blindness in adults worldwide. Early detection and intervention can prevent blindness; however, many patients do not receive their recommended annual diabetic eye examinations, primarily owing to… read more here.

Keywords: detection; diabetic retinopathy; system; sensitivity ... See more keywords

An Artificial Intelligence-Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study.

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0 Published in 2021 at "JAMA network open"

DOI: 10.1001/jamanetworkopen.2021.41096

Abstract: Importance Most early lung cancers present as pulmonary nodules on imaging, but these can be easily missed on chest radiographs. Objective To assess if a novel artificial intelligence (AI) algorithm can help detect pulmonary nodules… read more here.

Keywords: pulmonary nodules; study; detection; artificial intelligence ... See more keywords

Development and Validation of a Deep Learning–Based Synthetic Bone-Suppressed Model for Pulmonary Nodule Detection in Chest Radiographs

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2 Published in 2023 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2022.53820

Abstract: Key Points Question Can a deep learning–based synthetic bone-suppressed (DLBS) model additionally improve the detection of pulmonary nodules on chest radiographs? Findings In this decision analytical modeling study of 1449 patients, the DLBS model was… read more here.

Keywords: detection; chest radiographs; deep learning; model ... See more keywords

Development of a miRNA‐based classifier for detection of colorectal cancer molecular subtypes

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1 Published in 2022 at "Molecular Oncology"

DOI: 10.1002/1878-0261.13210

Abstract: Previously, colorectal cancer (CRC) has been classified into four distinct molecular subtypes based on transcriptome data. These consensus molecular subtypes (CMSs) have implications for our understanding of tumor heterogeneity and the prognosis of patients. So… read more here.

Keywords: molecular subtypes; cms miracl; mirna based; detection ... See more keywords

Combining variant detection and fragment length analysis improves detection of minimal residual disease in postsurgery circulating tumour DNA of stage II–IIIA NSCLC patients

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1 Published in 2022 at "Molecular Oncology"

DOI: 10.1002/1878-0261.13267

Abstract: Stage II–IIIA nonsmall cell lung cancer (NSCLC) patients receive adjuvant chemotherapy after surgery as standard‐of‐care treatment, even though only approximately 5.8% of patients will benefit. Identifying patients with minimal residual disease (MRD) after surgery using… read more here.

Keywords: nsclc patients; stage iiia; detection; length analysis ... See more keywords

Comparing single‐target and multitarget approaches for postoperative circulating tumour DNA detection in stage II–III colorectal cancer patients

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1 Published in 2022 at "Molecular Oncology"

DOI: 10.1002/1878-0261.13294

Abstract: Circulating tumour DNA (ctDNA) detection for postoperative risk stratification in cancer patients has great clinical potential. However, low ctDNA abundances complicates detection. Multitarget (MT) detection strategies have been developed to increase sensitivity. Yet, empirical evidence… read more here.

Keywords: tumour dna; circulating tumour; cancer patients; ctdna detection ... See more keywords

Evaluation of two new highly multiplexed PCR assays as an alternative to next‐generation sequencing for IDH1/2 mutation detection

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2 Published in 2022 at "Molecular Oncology"

DOI: 10.1002/1878-0261.13311

Abstract: IDH1 and IDH2 somatic mutations have been identified in solid tumors and blood malignancies. The development of inhibitors of mutant IDH1 and IDH2 in the past few years has prompted the development of a fast… read more here.

Keywords: multiplexed pcr; two new; detection; next generation ... See more keywords

A new real‐time tsunami detection algorithm

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1 Published in 2017 at "Journal of Geophysical Research"

DOI: 10.1002/2016jc012170

Abstract: Real-time tsunami detection algorithms play a key role in any Tsunami Early Warning System. We have developed a new algorithm for tsunami detection based on the real-time tide removal and real-time band-pass filtering of sea-bed… read more here.

Keywords: time tsunami; detection; tsunami detection; real time ... See more keywords

Potential of satellite-based land emissivity estimates for the detection of high-latitude freeze and thaw states

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0 Published in 2017 at "Geophysical Research Letters"

DOI: 10.1002/2017gl072560

Abstract: Reliable detection of freeze and thaw (FT) states is crucial for the terrestrial water cycle, biogeochemical transitions, carbon and methane feedback to the atmosphere, and for the surface energy budget and its associated impacts on… read more here.

Keywords: detection; emissivity estimates; land; freeze thaw ... See more keywords

An assessment of thin cloud detection by applying bidirectional reflectance distribution function model‐based background surface reflectance using Geostationary Ocean Color Imager (GOCI): A case study for South Korea

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0 Published in 2017 at "Journal of Geophysical Research"

DOI: 10.1002/2017jd026707

Abstract: In this study, a new assessment of thin cloud detection with the application of bidirectional reflectance distribution function (BRDF) model-based background surface reflectance was undertaken by interpreting surface spectra characterized using the Geostationary Ocean Color… read more here.

Keywords: detection; reflectance; cloud; thin cloud ... See more keywords