Application of an electronic nose in the diagnosis of head and neck cancer. (Q54723339)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:24142627%20AND%20SRC:MED&resulttype=core&format=json

28 February 2020

title

Application of an electronic nose in the diagnosis of head and neck cancer (English)

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28 February 2020

1 reference

1

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28 February 2020

author name string

Marie-Louise Boumans

2

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28 February 2020

Bernd Kremer

3

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28 February 2020

Sinh Din

4

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28 February 2020

Ellen Stobberingh

5

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28 February 2020

Alfons G H Kessels

6

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28 February 2020

Kenneth W Kross

7

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28 February 2020

language of work or name

English

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publication date

19 November 2013

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28 February 2020

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28 February 2020

volume

124

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28 February 2020

issue

6

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28 February 2020

page(s)

1377-1381

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Head and neck cancer: changing epidemiology, diagnosis, and treatment

28 February 2020

cites work

1 reference

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Squamous cell carcinomas of the head and neck in Norway, 1953-92: an epidemiologic study of a low-risk population

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Laryngeal and hypopharyngeal carcinomas after (chemo)radiotherapy: a diagnostic dilemma

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Quantitative Analysis of Urine Vapor and Breath by Gas-Liquid Partition Chromatography

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Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose

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A 21st century technique for food control: electronic noses

21 January 2018

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Development of an electronic nose to identify and quantify volatile hazardous compounds

21 January 2018

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Prospects for clinical application of electronic-nose technology to early detection of Mycobacterium tuberculosis in culture and sputum.

21 January 2018

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Electronic-nose technology using sputum samples in diagnosis of patients with tuberculosis

21 January 2018

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Diagnosis of active tuberculosis by e-nose analysis of exhaled air.

21 January 2018

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Smelling renal dysfunction via electronic nose

21 January 2018

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Use of an electronic nose system for diagnoses of urinary tract infections.

21 January 2018

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Identifying bacteria in human urine: current practice and the potential for rapid, near-patient diagnosis by sensing volatile organic compounds

21 January 2018

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Volatile organic compounds in breath as markers of lung cancer: a cross-sectional study

21 January 2018

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Lung cancer identification by the analysis of breath by means of an array of non-selective gas sensors.

21 January 2018

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Electronic nose prediction of a clinical pneumonia score: biosensors and microbes

21 January 2018

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Correlation of pneumonia score with electronic nose signature: A prospective study

21 January 2018

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Diagnosis of pneumonia with an electronic nose: correlation of vapor signature with chest computed tomography scan findings

21 January 2018

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Detection of lung cancer by sensor array analyses of exhaled breath

21 January 2018

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A study of the volatile organic compounds exhaled by lung cancer cells in vitro for breath diagnosis

21 January 2018

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An electronic nose in the discrimination of patients with non-small cell lung cancer and COPD.

21 January 2018

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Exhaled Breath Profiling Enables Discrimination of Chronic Obstructive Pulmonary Disease and Asthma

21 January 2018

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An investigation on electronic nose diagnosis of lung cancer.

21 January 2018

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Diagnostic performance of an electronic nose, fractional exhaled nitric oxide, and lung function testing in asthma

21 January 2018

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Can the electronic nose diagnose chronic rhinosinusitis? A new experimental study

21 January 2018

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An electronic nose in the discrimination of patients with asthma and controls

21 January 2018

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https://api.crossref.org/works/10.1002%2FLARY.24463

Detection of Mycobacterium tuberculosis (TB) in vitro and in situ using an electronic nose in combination with a neural network system

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FLARY.24463

21 January 2018

Identifiers

DOI

10.1002/LARY.24463

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:24142627%20AND%20SRC:MED&resulttype=core&format=json

release_73fwsl2o7fh3hmr3aq3djw35iy

28 February 2020

Fatcat ID

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Fatcat

https://api.fatcat.wiki/v0/release/73fwsl2o7fh3hmr3aq3djw35iy

mapped directly with Wikidata item

24 November 2022

based on heuristic

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