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4. Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care: a diagnostic accuracy study. Issue 4 (1st April 2022)

5. Faecal volatile organic compounds analysis using field asymmetric ion mobility spectrometry: non-invasive diagnostics in paediatric inflammatory bowel disease. (28th November 2017)

6. Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension. Issue 10 (October 2020)

7. Non-invasive exhaled volatile organic biomarker analysis to detect inflammatory bowel disease (IBD). Issue 2 (February 2016)