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Items: 1 to 20 of 102


An improved machine learning pipeline for urinary volatiles disease detection: Diagnosing diabetes.

Martinez-Vernon AS, Covington JA, Arasaradnam RP, Esfahani S, O'Connell N, Kyrou I, Savage RS.

PLoS One. 2018 Sep 27;13(9):e0204425. doi: 10.1371/journal.pone.0204425. eCollection 2018.


Non-Invasive Diagnosis of Diabetes by Volatile Organic Compounds in Urine Using FAIMS and Fox4000 Electronic Nose.

Esfahani S, Wicaksono A, Mozdiak E, Arasaradnam RP, Covington JA.

Biosensors (Basel). 2018 Dec 1;8(4). pii: E121. doi: 10.3390/bios8040121.


Non-invasive distinction of non-alcoholic fatty liver disease using urinary volatile organic compound analysis: early results.

Arasaradnam RP, McFarlane M, Daulton E, Westenbrink E, O'Connell N, Wurie S, Nwokolo CU, Bardhan KD, Savage RS, Covington JA.

J Gastrointestin Liver Dis. 2015 Jun;24(2):197-201. doi: 10.15403/jgld.2014.1121.242.ury.


Detection of colorectal cancer (CRC) by urinary volatile organic compound analysis.

Arasaradnam RP, McFarlane MJ, Ryan-Fisher C, Westenbrink E, Hodges P, Thomas MG, Chambers S, O'Connell N, Bailey C, Harmston C, Nwokolo CU, Bardhan KD, Covington JA.

PLoS One. 2014 Sep 30;9(9):e108750. doi: 10.1371/journal.pone.0108750. eCollection 2014. Erratum in: PLoS One. 2015;10(3):e0118975. Hodges, Paula [corrected to Hodges, Phoebe].


Differentiating coeliac disease from irritable bowel syndrome by urinary volatile organic compound analysis--a pilot study.

Arasaradnam RP, Westenbrink E, McFarlane MJ, Harbord R, Chambers S, O'Connell N, Bailey C, Nwokolo CU, Bardhan KD, Savage R, Covington JA.

PLoS One. 2014 Oct 16;9(10):e107312. doi: 10.1371/journal.pone.0107312. eCollection 2014.


Detection of Pancreatic Cancer by Urine Volatile Organic Compound Analysis.

Nissinen SI, Roine A, Hokkinen L, Karjalainen M, Venäläinen M, Helminen H, Niemi R, Lehtimäki T, Rantanen T, Oksala N.

Anticancer Res. 2019 Jan;39(1):73-79. doi: 10.21873/anticanres.13081.


Non-invasive exhaled volatile organic biomarker analysis to detect inflammatory bowel disease (IBD).

Arasaradnam RP, McFarlane M, Daulton E, Skinner J, O'Connell N, Wurie S, Chambers S, Nwokolo C, Bardhan K, Savage R, Covington J.

Dig Liver Dis. 2016 Feb;48(2):148-53. doi: 10.1016/j.dld.2015.10.013. Epub 2015 Nov 22.


Application of a novel tool for diagnosing bile acid diarrhoea.

Covington JA, Westenbrink EW, Ouaret N, Harbord R, Bailey C, O'Connell N, Cullis J, Williams N, Nwokolo CU, Bardhan KD, Arasaradnam RP.

Sensors (Basel). 2013 Sep 6;13(9):11899-912. doi: 10.3390/s130911899.


GC-MS metabolomics-based approach for the identification of a potential VOC-biomarker panel in the urine of renal cell carcinoma patients.

Monteiro M, Moreira N, Pinto J, Pires-Luís AS, Henrique R, Jerónimo C, Bastos ML, Gil AM, Carvalho M, Guedes de Pinho P.

J Cell Mol Med. 2017 Sep;21(9):2092-2105. doi: 10.1111/jcmm.13132. Epub 2017 Apr 4.


A novel tool for noninvasive diagnosis and tracking of patients with inflammatory bowel disease.

Arasaradnam RP, Ouaret N, Thomas MG, Quraishi N, Heatherington E, Nwokolo CU, Bardhan KD, Covington JA.

Inflamm Bowel Dis. 2013 Apr;19(5):999-1003. doi: 10.1097/MIB.0b013e3182802b26.


Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.

Weng WH, Wagholikar KB, McCray AT, Szolovits P, Chueh HC.

BMC Med Inform Decis Mak. 2017 Dec 1;17(1):155. doi: 10.1186/s12911-017-0556-8.


Translational Metabolomics of Head Injury: Exploring Dysfunctional Cerebral Metabolism with Ex Vivo NMR Spectroscopy-Based Metabolite Quantification.

Wolahan SM, Hirt D, Glenn TC.

In: Kobeissy FH, editor. Brain Neurotrauma: Molecular, Neuropsychological, and Rehabilitation Aspects. Boca Raton (FL): CRC Press/Taylor & Francis; 2015. Chapter 25.


Measurement and modeling of exposure to selected air toxics for health effects studies and verification by biomarkers.

Harrison RM, Delgado-Saborit JM, Baker SJ, Aquilina N, Meddings C, Harrad S, Matthews I, Vardoulakis S, Anderson HR; HEI Health Review Committee.

Res Rep Health Eff Inst. 2009 Jun;(143):3-96; discussion 97-100.


Urinary Volatile Organic Compounds as Potential Biomarkers in Idiopathic Membranous Nephropathy.

Wang M, Xie R, Jia X, Liu R.

Med Princ Pract. 2017;26(4):375-380. doi: 10.1159/000478782. Epub 2017 Jun 19.


Lymphoma images analysis using morphological and non-morphological descriptors for classification.

do Nascimento MZ, Martins AS, Azevedo Tosta TA, Neves LA.

Comput Methods Programs Biomed. 2018 Sep;163:65-77. doi: 10.1016/j.cmpb.2018.05.035. Epub 2018 May 31.


Use of solid-phase microextraction coupled to gas chromatography-mass spectrometry for determination of urinary volatile organic compounds in autistic children compared with healthy controls.

Cozzolino R, De Magistris L, Saggese P, Stocchero M, Martignetti A, Di Stasio M, Malorni A, Marotta R, Boscaino F, Malorni L.

Anal Bioanal Chem. 2014 Jul;406(19):4649-62. doi: 10.1007/s00216-014-7855-z. Epub 2014 May 15.


Urinary Volatile Organic Compounds for the Detection of Prostate Cancer.

Khalid T, Aggio R, White P, De Lacy Costello B, Persad R, Al-Kateb H, Jones P, Probert CS, Ratcliffe N.

PLoS One. 2015 Nov 24;10(11):e0143283. doi: 10.1371/journal.pone.0143283. eCollection 2015.


Optical coherence tomography machine learning classifiers for glaucoma detection: a preliminary study.

Burgansky-Eliash Z, Wollstein G, Chu T, Ramsey JD, Glymour C, Noecker RJ, Ishikawa H, Schuman JS.

Invest Ophthalmol Vis Sci. 2005 Nov;46(11):4147-52.


Urinary volatile organic compound markers and colorectal anastomotic leakage.

Plat VD, Bootsma BT, Neal M, Nielsen K, Sonneveld DJA, Tersteeg JJC, Crolla RMPH, van Dam DA, Cense HA, Stockmann HBAC, Covington JA, de Meij TGJ, Tuynman JB, de Boer NKH, Daams F.

Colorectal Dis. 2019 Jun 17. doi: 10.1111/codi.14732. [Epub ahead of print]


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