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David G Graham

Showing results (1-10 of 10) with videos related to

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F1000Research|February 27, 2016
Advances in upper gastrointestinal endoscopyDavid G Graham, Matthew R Banks
Diagnostics (Basel, Switzerland)|February 10, 2024
Latest Advances in Endoscopic Detection of Oesophageal and Gastric NeoplasiaWilliam Waddingham, David G Graham, Matthew R Banks
Frontline Gastroenterology|July 12, 2021
Recent advances in the detection and management of early gastric cancer and its precursorsWilliam Waddingham, Stella A V Nieuwenburg, Sean Carlson, et al.
Epigenomics|April 26, 2018
A novel cell-type deconvolution algorithm reveals substantial contamination by immune cells in saliva, buccal and cervixShijie C Zheng, Amy P Webster, Danyue Dong, et al.
Gastroenterology Research and Practice|September 25, 2018
Machine Learning Creates a Simple Endoscopic Classification System that Improves Dysplasia Detection in Barrett's Oesophagus amongst Non-expert EndoscopistsVinay Sehgal, Avi Rosenfeld, David G Graham, et al.
Clinics and Research in Hepatology and Gastroenterology|January 20, 2023
Development and validation of a multivariable risk factor questionnaire to detect oesophageal cancer in 2-week wait patientsKai Man Alexander Ho, Avi Rosenfeld, Áine Hogan, et al.
Plos One|March 10, 2020
An optimised saliva collection method to produce high-yield, high-quality RNA for translational researchRoisin Sullivan, Susan Heavey, David G Graham, et al.
Gastrointestinal Endoscopy|October 7, 2018
Virtual chromoendoscopy by using optical enhancement improves the detection of Barrett's esophagus-associated neoplasiaMartin A Everson, Laurence B Lovat, David G Graham, et al.
Clinical Epigenetics|February 15, 2022
Novel epigenetic network biomarkers for early detection of esophageal cancerAlok K Maity, Timothy C Stone, Vanessa Ward, et al.
The Lancet. Digital Health|March 6, 2020
Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approachAvi Rosenfeld, David G Graham, Sarah Jevons, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
F1000Research|February 27, 2016
Advances in upper gastrointestinal endoscopyDavid G Graham, Matthew R Banks
Diagnostics (Basel, Switzerland)|February 10, 2024
Latest Advances in Endoscopic Detection of Oesophageal and Gastric NeoplasiaWilliam Waddingham, David G Graham, Matthew R Banks
Frontline Gastroenterology|July 12, 2021
Recent advances in the detection and management of early gastric cancer and its precursorsWilliam Waddingham, Stella A V Nieuwenburg, Sean Carlson, et al.
Epigenomics|April 26, 2018
A novel cell-type deconvolution algorithm reveals substantial contamination by immune cells in saliva, buccal and cervixShijie C Zheng, Amy P Webster, Danyue Dong, et al.
Gastroenterology Research and Practice|September 25, 2018
Machine Learning Creates a Simple Endoscopic Classification System that Improves Dysplasia Detection in Barrett's Oesophagus amongst Non-expert EndoscopistsVinay Sehgal, Avi Rosenfeld, David G Graham, et al.
Clinics and Research in Hepatology and Gastroenterology|January 20, 2023
Development and validation of a multivariable risk factor questionnaire to detect oesophageal cancer in 2-week wait patientsKai Man Alexander Ho, Avi Rosenfeld, Áine Hogan, et al.
Plos One|March 10, 2020
An optimised saliva collection method to produce high-yield, high-quality RNA for translational researchRoisin Sullivan, Susan Heavey, David G Graham, et al.
Gastrointestinal Endoscopy|October 7, 2018
Virtual chromoendoscopy by using optical enhancement improves the detection of Barrett's esophagus-associated neoplasiaMartin A Everson, Laurence B Lovat, David G Graham, et al.
Clinical Epigenetics|February 15, 2022
Novel epigenetic network biomarkers for early detection of esophageal cancerAlok K Maity, Timothy C Stone, Vanessa Ward, et al.
The Lancet. Digital Health|March 6, 2020
Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approachAvi Rosenfeld, David G Graham, Sarah Jevons, et al.
Pageof 1