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T Khalid

Researcher at University of Liverpool

Publications -  12
Citations -  1118

T Khalid is an academic researcher from University of Liverpool. The author has contributed to research in topics: Cancer & Liver disease. The author has an hindex of 8, co-authored 12 publications receiving 889 citations. Previous affiliations of T Khalid include University of the West of England & Imperial College London.

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A review of the volatiles from the healthy human body

TL;DR: A compendium of all the volatile organic compounds (VOCs) emanating from the human body (the volatolome) is for the first time reported and it is the authors' intention that this database will not only be a useful database of VOCs listed in the literature, but will stimulate further study of V OCs from healthy individuals.
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Urinary Volatile Organic Compounds for the Detection of Prostate Cancer

TL;DR: Results from VOC profiling of urine headspace are encouraging and suggest that there are other metabolomic avenues worth exploring which could help improve the stratification of men at risk of prostate cancer.
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A Pilot Study Combining a GC-Sensor Device with a Statistical Model for the Identification of Bladder Cancer from Urine Headspace

TL;DR: This new device shows potential for the diagnosis of bladder cancer, but the data must be reproduced in a larger study, and are an improvement on those reported by other groups studying headspace gases and also superior to current clinical techniques.
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Optimisation of Sample Preparation for Direct SPME-GC-MS Analysis of Murine and Human Faecal Volatile Organic Compounds for Metabolomic Studies

TL;DR: This is the first work evaluating different aspects of sample preparation for direct SPME-GC-MS analysis of VOCs and the first method proposed for the analysis of murine and human faecal samples and proposed method can be coupled to the Automated Mass Spectral Deconvolution and Identification System and the R software package, Metab to produce results in a reliable and high-throughput manner.
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The use of a gas chromatography-sensor system combined with advanced statistical methods, towards the diagnosis of urological malignancies.

TL;DR: The results of the pilot study presented here indicate that the GC system is able to successfully identify patterns that allow classification of urine samples from patients with urological cancers.