Our Publications

 Canine Olfaction Combined With Bayesian Modeling for Multicancer Detection From Breath Samples: A Phase II Study in India 

Kulgod, S., Patil, P. R., Kallappa, S., Rakesh, R., Kulkarni, K., Somashekhar, S. P., Majumdar, S. D. M., Singh, A., Guest, C., Harris, R., Aviram, I., Shanbhag, S., Parashar, A., Ramaswamy, S. S., Bitan, I and Kulgod, A., 23 Apr 2026, In: Journal of Clinical Oncology. 00,1-10.  

Rooney, N., Trivedi, D. P., Sinclair, E., Walton-Doyle, C., Silverdale, M., Barran, P., Kunath, T., Morant, S., Somerville, M., Smith, J., Jones-Diette, J., Corish, J., Milne, J., & Guest, C., 14 Jul 2025, In: Journal of Parkinson’s Disease. 15, 6, p. 1111-1115 5 p. 

An exploratory study of associations between judgement bias, demographic and behavioural characteristics, and detection task performance in medical detection dogs  

Bistre Dabbah, S., Mendl, M. T., Guest, C. & Rooney, N. J., 9 Apr 2025, In PLOS ONE. 20, 4. 25 p. 

Trained dogs can detect canine urothelial carcinoma of the bladder  

Desmas-Bazelle, I., Rooney, N. J., Morant, S., Harris, R., Volckaert, V., Goodfellow, M., Aziz, S. & Guest, C., 6 Dec 2024, In: Veterinary Oncology. 1, 10p., 12.  

Survey on the importance of different traits for medical detection dogs 

Bistre Dabbah, S., Mendl, M. T., Guest, C., & Rooney, N. J., 1 Nov 2024, In: Journal of Veterinary Behaviour: Clinical Applications and Research. 76, p. 40-52 13 p.  

Evaluating and contextualizing volatile organic compounds in dog training breath samples from a patient with type 1 diabetes 

Parr-Cortes, Z., Rooney, N. J., Wheatstone, M., Stock, T., Pesterfield, C., Guest, C. & Muller, C., 1 Sep 2024, In: Journal of Veterinary Behaviour: Clinical Applications and Research. 75, p. 62-75 14 p.  

The odour of an unfamiliar stressed or relaxed person affects dogs’ responses to a cognitive bias test 

Parr-Cortes, Z., Muller, C. T., Talas, L., Mendl, M. T., Guest, C., & Rooney, N. J., 22 Jul 2024, In: Scientific Reports. 14, 1, p. 1-17 17 p., 15843.  

Expert Considerations and consensus for using dogs to detect human SARS-Cov-2-infections  

Meller, S., Al Khatri, M. S. A., Alhammadi, H. K., Álvarez, G., Alvergnat, G., Alves L,C., Callewaert, C., Caraguel, C. G..B., Carancci, P., Chaber A. L., Charalambous, M., Desquilbet, L., Ebbers, H., Ebbers, J., Grandjean, D., Guest, C., Guyot, H., Hielm-Björkman, A., Hopkins, A., Kreienbrock, L., Logan J, G., Lorenzo, H., Maia R. C. C., Mancilla-Tapia, J. M., Mardones, F. O., Mutesa, L., Nsanzimana, S., Otto, C. M., Salgado-Caxito, M., de los Santos, F., da Silva, J. E. S., Schalke, E., Schoneberg, C., Soares, A. F., Twele, F., Vidal-Martínez, V. M., Zapata ,A., Zimin-Veselkoff, N., & Volk, H. A., 8 Dec 2022, In: Frontiers in Medicine. 9.   

Using trained dogs and organic semi-conducting sensors  to identify asymptomatic and mild SARS-CoV-2 infections: an observational study 

Guest, C,. Dewhirst, S. Y., Lindsay, S. W., Allen, D. J, Aziz, S., Baerenbold, O., Bradley, J., Chabildas, U., Chen-Hussey, V., Clifford, S., Cottis, L., Dennehy, J., Foley, E., Gezan, S. A., Gibson, T., Greaves, C. K., Kleinschmidt, I., Lambert, S., Last, A., Morant, S., Parker, J. E. A., Pickett, J., Quilty, B. J., Rooney, A., Shah, M., Somerville, M., Squires, C., Walker, M., Logan, J. G., 24 March 2022. In : Journal of Travel Medicine. 29, 3.  

Artificial neural networks for classifying the time series sensor data generated by medical detection dogs 

Withington, L., Pardo De Vera, D. D., Guest, C., Mancini, C. & Piwek, P., 1 Dec 2021, In: Expert Systems with Applications. 184.  

Feasibility of integrating canine olfaction with chemical and microbial profiling of urine to detect lethal prostate cancer 

Guest, C. M., Harris, R., Sfanos, K. S., Shrestha, E., Partin, A. W., Trock, B., Mangold, L., Bader, R., Kozak, A., Mclean, S., Simons, J., Soule, H., Johnson, T., Lee, W. Y., Gao, Q., Aziz, S., Stathatou, P. M., Thaler, S., Foster, S., & Marshin, A., 17 Feb 2021, In: PLOS ONE.16, 2.

Jones, R. T., Guest, C., Lindsay, S. W., Kleinschmidt, I., Bradley, J., Dewhirst, S., Last, A., & Logan, J. G., 12 Aug 2020, In: Journal of Travel Medicine. 27, 8.  

A lesson in standardization – subtle aspects of the processing of samples can greatly affect dogs’ learning 

Guest, C., Harris, R., Anjum, I., Concha, A. & Rooney, N. J., 8 Jul 2020, In: Frontiers in Veterinary Science. 7.  

Diabetes Alert Dogs: objective behaviours shown during periods of owner glucose fluctuation and stability 

Wilson, C. H., Kane, S., Morant, S. V., Guest, C. M. & Rooney, N. J., 6 Feb 2020, In: Applied Animal Behaviour Science. 223, 10p., 104915.

Editorial: Canine Olfactory Detection 

Guest, C., Otto, C. M., 27 Feb 2020, In: Frontiers in Veterinary Science. 7.  

Training dogs to differentiate Pseudomonas aeruginosa from other cystic fibrosis bacterial pathogens: not to be sniffed at? 

Davies, J. C., Alton, E., Simbo, A., Murphy, R., Seth, I., Williams, K., Somerville, M., Jolly, L., Morant, S.,  Guest, C., 7 Nov 2019, In: European Respiratory Journal. 54, 5.  

Trained dogs identify people with malaria parasites by their odour 

Guest, C., Pinder, M., Doggett, M., Squires, C., Affara, M., Kandeh, B., Dewhirst, S., Morant, S. V., D’Allesandro, U., Logan, J. G., & Lindsay, S. W., 1 June 2019, In: The Lancet Infectious Diseases. 19,6, p - 578-580.   

An Owner-Independent Investigation of Diabetes Alert Dog Performance 

Wilson, S., Morant, S., Kane, S., Pesterfield, C., Guest, C., & Rooney, N. J., 27 March 2019, In: Frontiers in Veterinary Science. 11p., 91.  

Canine Olfactory Thresholds to Amyl Acetate in a Biomedical Detection Scenario 

Concha, A., Guest, C. M., Harris, R., Pike, T. W., Feugier, A., Zulch, H., Mills, D, S., 22 Jan 2019, In: Frontiers in Veterinary Science. 5.  

Rooney, N., Guest, C. Swanson, L. & Morant, S., 15 Jan 2019, In: PLOS ONE. 14,1,16 p., e0210092. 

Using sniffing behavior to differentiate true negative from false negative responses in trained scent-detection dogs 

Concha, A., Mills, D, S., Feugier, A., Zulch, H., Guest, C. M., Harris, R., Pike, T. W., 11 Sep 2014, In; Chemical Senses. 39, 9, p.749-754.

Rooney, N. J., Morant, S. & Guest, C., 7 Aug 2013, In: PLOS ONE. 10.1371. 

Volatile organic compounds as biomarkers of bladder cancer: sensitivity and specificity using trainer sniffer dogs 

Willis, C. M., Britton, L., Guest, C. M., Harris, R. & Wallace, J., 1 May 2010, In: Cancer Biomarkers 8, 3, p. 145-153.  

Olfactory detection of human bladder cancer by dogs: proof of principle study 

Willis, C. M., Church, S. M., Guest, C. M., Cook, A. W., McCarthy, N., Bransbury, A. J., Church, M. R. T., & Church, J. C. T., 23 Sep 2004, In: The British Medical Journal 329:712. 

 Another sniffer dog for the clinic?  

Church, J. & Williams, H., 15 Sep 2001, In: The Lancet 358, 9285.  

Presentation / Conference

Sensing the shape of canine responses to cancer 

Johnston-Wilder, O., Mancini, C., Aengenheister, B., Mills, J., Harris, R., and Guest, C., 16 November 2015, (Accepted/In Press) ACE ’15: Proceedings of the 12th International Conference on Advances in Computer Entertainment Technology. 63:1-4p.  

Exploring assistive technology for assistance dog owners in emergency situations 

Robinson, C., Mancini, C., van der Linden, J., Guest, C., and Swanson, L., 1 July 2015, (Accepted/In Press) PETRA ’15: Proceedings of the 8th ACM International Conference on Pervasive Technologies Related to Assistive Environments. 92:1-2p.  

Re-Centering Multispecies Practices: A Canine Interface for Cancer Detection Dogs 

Mancini, C., Harris, R., Aengenheister, B., and Guest, C., 18 April 2015, (Accepted/In Press) CHI ’15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. 2673-2682p.  

Canine-centered interface design: supporting the work of diabetes alert dogs 

Robinson, C, L., Mancini, C., van der Linden, J., Guest, C., and Harris, R., 26 April 2014, (Accepted/In Press) CHI ’14: Proceedings of the SIGCHI  Conference on Human Factors in Computing Systems. 3757-3766p.  

Empowering assistance dogs: an alarm interface for canine use 

Robinson, C, L., Mancini, C., van der Linden, J., Guest, C., and Harris, R., 4 April 2014, (Accepted/In Press) ISAWEL ’14: Intelligent Systems for Animal Welfare.