AI for Integrative Health
Our theme is highly interdisciplinary and involves topics in computer science, biology and medicine.
We are experts in various computational approaches to study the workings of the human organism in health disease and help develop treatments. Notably, we are experienced in working together with domain experts across domains to leverage innovative computational models and tools, including health data science, network theory, AI and machine learning.
The theme comprises fundamental research and applications, including diagnosis, prognosis and treatment. Our methods often leverage advanced processing techniques and utilize complex and large real-world data (e.g., omics, imaging or neural activity data).
Meet the team
Dr Roman Bauer
Senior Lecturer
Dr Sotiris Moschoyiannis
Reader in Complex Systems
Dr Tom Thorne
Senior Lecturer; Programme Lead of MSc Data Science
Professor H Lilian Tang
Professor in Artificial Intelligence
Dr Alaa Marshan
Senior Lecturer in Intelligent Data Analysis
List of outstanding recent achievements strictly related to the strategic theme
Selected Papers
- Cogno, N., Bauer, R. and Durante, M., “Mechanistic model of radiotherapy-induced lung fibrosis using coupled 3D agent-based and Monte Carlo simulations”. Communications Medicine (Nature), 4(1), p.16. 2024. https://doi.org/10.1038/s43856-024-00442-w
- S. Moschoyiannis, E. Chatzaroulas, V. Šliogeris and Y. Wu, "Deep Reinforcement Learning for Stabilization of Large-Scale Probabilistic Boolean Networks", IEEE Transactions on Control of Network Systems, vol. 10, no. 3, pp. 1412-1423, 2023. 10.1109/TCNS.2022.3232527.
- Jennings, J.L., Peraza, L.R., Baker, M., Alter, K., Taylor, J.P. and Bauer, R. “Investigating the power of eyes open resting state EEG for assisting in dementia diagnosis”. Alzheimer's research & therapy, 14(1), p.109. 2022. https://doi.org/10.1186/s13195-022-01046-z
- Al-Turk, L., Wawrzynski, J., Wang, S., Krause, P., Saleh, G.M., Alsawadi, H., Alshamrani, A.Z., Peto, T., Bastawrous, A., Li, J. and Tang, H.L. Automated feature-based grading and progression analysis of diabetic retinopathy. Eye (Nature), 36(3), pp.524-532. 2022. https://doi.org/10.1038/s41433-021-01415-2
- Perryman, R., Renziehausen, A., Shaye, H., Kostagianni, A.D., Tsiailanis, A.D., Thorne, T., Chatziathanasiadou, M.V., Sivolapenko, G.B., El Mubarak, M.A., Han, G.W. and Zarzycka, B. Inhibition of the angiotensin II type 2 receptor AT2R is a novel therapeutic strategy for glioblastoma. Proceedings of the National Academy of Sciences, 119(32), p.e2116289119. 2022. 10.1073/pnas.2116289119
- Mahmood, I., Arabnejad, H., Suleimenova, D., Sassoon, I., Marshan, A., Serrano-Rico, A., Louvieris, P., Anagnostou, A., JE Taylor, S., Bell, D. and Groen, D. FACS: a geospatial agent-based simulator for analysing COVID-19 spread and public health measures on local regions. Journal of Simulation, 16(4), pp.355-373. 2022. 10.1080/17477778.2020.1800422
- Marshan A, Almutairi AN, Ioannou A, Bell D, Monaghan A and Arzoky M. MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain. Front. Big Data 7:1371680. 2024. 10.3389/fdata.2024.1371680
- Topological Approximate Bayesian Computation for Parameter Inference of an Angiogenesis Model Thorne T, Kirk PDW, Harrington HA, Bioinformatics, Volume 38, Issue 9, Pages 2529–2535, 2022. https://doi.org/10.1093/bioinformatics/btac118
Funded Projects
- AI in Healthcare Award (Skin Analytics), NHS England & NIHR, with Skin Analytics, Unity Insights and School of Health Sciences at Surrey (S. Moschoyiannis, CI). Timeframe: Mar 2022 – Sep 2024. Project costs: £226,748. https://unityinsights.co.uk/our-insights/ai-in-health-and-care-award-skin-analytics-evaluation/
- Virtual Clinical Trial Emulation with Generative AI Models. UKRI MRC, with University of Strathclyde and NHS Glasgow & Clyde (S. Moschoyiannis, CI), 1 Sep 2022 - 1 Mar 2023, Project costs: £184,587. https://gtr.ukri.org/projects?ref=MR%2FX005925%2F1
- Computational modelling of cryopreservation of biological tissue. Funded by Engineering and Physical Sciences Research Council (EPSRC), 2018-2022, Funding amount: £502,400 (PI: R. Bauer). https://gow.epsrc.ukri.org/NGBOViewPerson.aspx?PersonId=-467231
- Assessing the use of retinal images for the early diagnosis of ageing-related neurological diseases. EPSRC and NPL, 2022-2027, £118,483 (PI: R. Bauer). https://www.surrey.ac.uk/fees-and-funding/studentships/assessing-use-re…
Other Achievements:
Other achievements you deem that people should know about some members of staff, like special recent awards, or exclusive Membership or Fellowship
- Roman Bauer is a 2024 Foresight Fellow (https://foresight.org/fellowship/2024-fellow-roman-bauer/)