Biomedical & Biotechnology Cluster
Biomedical & Biotechnology
Designing the Future of Bio-EngineeringIn Biomedical & Biotechnology, the focus is primarily on challenges in biomedical engineering and biological sciences. We deal with both basic research in biomedical systems and fundamental issues of health and well-being. Problems in fundamental research of humans, human systems and healthcare are interspersed with very applied projects around the design, development and deployment of assistive technologies and rehabilitation techniques. Various specialities combine together through mathematical modelling, systems engineering, signal processing, alongside anatomy, physiology, and pharmacology - applied to various conditions and research goals.
Applied Biomedical Signal Processing and Intelligent eHealth Lab (ABSPIE)
This Biomedical Engineering (BME) lab focuses on translating advanced biomedical signal processing, machine learning and eHealth to clinical settings, aiming to face emerging problems of health and wellbeing, with special focus on later life, and neurodegenerative and neurodevelopmental disorders.
Biomedical & Biological Systems Lab
Focuses on developing chemical sensors and electronic noses for applications in medical diagnostics, agriculture, air quality, and environmental monitoring.
Biomedical Sensors Lab
Conducts research on systems modelling in biomedicine and biology, including applications in disease control, Nano bioengineering, and the dynamics of biological processes.
Stochastic & Complex Systems Lab
The group researches stochastic information processing, including noise-enhancing techniques like suprathreshold stochastic resonance for applications such as cochlear implants and nanotechnology. It also focuses on identifying unknown parameters in engineering models, system integration in automotive vehicles, and the interplay between noise and chaos in nonlinear systems, aiming to address challenges in system functionality and control.
Trace Metals in Medicine Lab
The group focuses on imaging and quantifying transition metal ion distribution in the human brain to aid in early detection and diagnosis of neurodegenerative disorders. Using techniques like high-resolution MRI, synchrotron X-ray microfocus spectroscopy, and magnetometry, they characterize the distribution and form of trace metals in tissues and protein aggregates.
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Michael Chappell
Mike Chappell was appointed to the academic staff of the School of Engineering in 1990. He has teaching responsibilities in the general area of engineering mathematics and in the specialist area of mathematical modelling and simulation. He is presently the MEng Course Manager for all streams of Engineering within the School.
Davide Piaggio
Dr Davide Piaggio was born in Imperia Link opens in a new window(Liguria, Italy), where he attended Liceo Classico E. De Amicis (2006-2011). He then received his BSc and MSc in Biomedical engineering at the University of Genoa Link opens in a new window(2014) and at the Polytechnic University of TurinLink opens in a new window(2017), respectively. Davide received his PhD in Biomedical Engineering with a specific focus on medical devices, regulations and low-resource settings from the University of Warwick (2022), where he is currently Assistant Professor and co-director of the Applied Biomedical Signal Processing and Intelligent eHealth Lab(ABSPIE) since 2022. Since the start of his PhD he has been involved in several teaching and research related jobs, including graduate teaching assistant, research assistant, teaching fellow, and research fellow.
His main areas of expertise are medical device design and regulatory affairs, CAD design, 3D printing, signal processing and App design (Android). He has authored or co-authored about 30 journal/conference papers and book chapters. He also contributed with writing the definitions of 10 lemmas for the Encyclopaedia of Medical PhysicsLink opens in a new window(ISBN 9781138592148).
Davide is Secretary General for EAMBESLink opens in a new window, IFMBE HTAD Link opens in a new windowand IFMBE Africa Biomedical Engineering Working Group collaborator and IFMBE publicity committee member, academic co-lead for the Society&Culture Link opens in a new windowSpotlight, steering committee member for WICIDLink opens in a new window, and executive team member for the Biomedical Engineering InstituteLink opens in a new window.
Key Publications
Bini, F.,Franzò, M., Maccaro, A., Piaggio, D., Pecchia, L.,Marinozzi, F., 2023. Is medical device regulatory compliance growing as fast as extended reality to avoid misunderstandings in the future? Health Technol. 13, 831–842. https://doi.org/10.1007/s12553-023-00775-xLink opens in a new window
Covington, J.A., Marco, S., Persaud, K.C., Schiffman, S.S., Nagle, H.T., 2021. Artificial Olfaction in the 21stCentury. IEEE Sensors J. 21, 12969–12990. https://doi.org/10.1109/JSEN.2021.3076412Link opens in a new window
Daulton, E.,Wicaksono, A.N., Tiele, A., Kocher, H.M., Debernardi, S., Crnogorac-Jurcevic, T., Covington, J.A., 2021. Volatile organic compounds (VOCs) for the non-invasive detection of pancreatic cancer from urine.Talanta221, 121604. https://doi.org/10.1016/j.talanta.2020.121604Link opens in a new window
Eichenlaub, M.M., Hattersley, J.G., Gannon, M.C., Nuttall, F.Q.,Khovanova, N.A., 2021. Bayesian parameter estimation in the oral minimal model of glucose dynamics from non-fasting conditions using a new function of glucose appearance. Computer Methods and Programs in Biomedicine 200, 105911. https://doi.org/10.1016/j.cmpb.2020.105911Link opens in a new window
Everett, J., Brooks, J.,Lermyte, F.,Tjhin, V.T., Hands-Portman, I., Hill, E., Collingwood, J.F., Telling, N.D., 2023. Illuminating the brain: Revealing brain biochemistry with synchrotron X-rayspectromicroscopy. Journal of Electron Spectroscopy and Related Phenomena 266, 147355. https://doi.org/10.1016/j.elspec.2023.147355Link opens in a new window
Everett, J.,Lermyte, F., Brooks, J.,Tjendana-Tjhin, V., Plascencia-Villa, G., Hands-Portman, I., Donnelly, J.M., Billimoria, K., Perry, G., Zhu, X., Sadler, P.J., O’Connor, P.B., Collingwood, J.F., Telling, N.D., 2021. Biogenic metallic elements in the human brain? Sci. Adv. 7, eabf6707. https://doi.org/10.1126/sciadv.abf6707Link opens in a new window
Facciorusso, A., Kovacevic, B., Yang, D., Vilas-Boas, F., Martínez-Moreno, B., Stigliano, S.,Rizzatti, G., Sacco, M., Arevalo-Mora, M., Villarreal-Sanchez, L., Conti Bellocchi, M.C., Bernardoni, L.,Gabbrielli, A., Barresi, L.,Gkolfakis, P., Robles-Medranda, C., De Angelis, C.,Larghi, A., Di Matteo, F.M., Aparicio, J.R., Macedo, G., Draganov, P.V.,Vilmann, P., Pecchia, L., Repici, A.,Crinò, S.F., 2022. Predictors of adverse events after endoscopic ultrasound-guided through-the-needle biopsy of pancreatic cysts: a recursive partitioning analysis. Endoscopy 54, 1158–1168. https://doi.org/10.1055/a-1831-5385Link opens in a new window
Kim, J., Darlington, A.P.S., Muñoz-Montero, S., Montenegro, R., Dalby, P., Herrera-Martín, N., Banks, A., Prakash, S., Polizzi, K., Bates, D.G., Jiménez, J.I., 2025. Gene Expression Depends on the Interplay Among Growth, Resource Biogenesis, and Nutrient Quality. ACS Synth. Biol. 14, 2012–2029. https://doi.org/10.1021/acssynbio.4c00828Link opens in a new window
Krishnan, N., Abimbola, A., Machan, N., Daga, S., Gopalakrishnan, K., Lam, F., Tan, L., Kashi, H., Imray, C., Zehnder, D., Collins, C., Curtis, R., Higgins, R.,Khovanova, N., Briggs, D., 2021. HLA Antibody Incompatible Renal Transplantation: Long-term Outcomes Similar to Deceased Donor Transplantation. Transplantation Direct 7, e732. https://doi.org/10.1097/TXD.0000000000001183Link opens in a new window
Kwok, T.C., Henry, C.,Saffaran, S.,Meeus, M., Bates, D., VanLaere, D., Boylan, G., Boardman, J.P., Sharkey, D., 2022. Application and potential of artificial intelligence in neonatal medicine. Seminars inFetaland Neonatal Medicine 27, 101346. https://doi.org/10.1016/j.siny.2022.101346Link opens in a new window
Luo, J., Collingwood, J.F., 2022. Effective R2 relaxation rate, derived from dual-contrast fast-spin-echo MRI, enables detection of hemisphere differences in iron level and dopamine function in Parkinson’s disease and healthy individuals. Journal of Neuroscience Methods 382, 109708. https://doi.org/10.1016/j.jneumeth.2022.109708Link opens in a new window
Musuamba, F.T., Cheung, S.Y.A., Colin, P., Davies, E.H., Barret, J.S., Pappalardo, F., Chappell, M.,Dogne, J., Ceci, A., Della Pasqua, O., Rusten, I.S., 2023. Moving Toward a Question‐Centric Approach for Regulatory Decision Making in the Context of Drug Assessment. Clin Pharma and Therapeutics 114, 41–50. https://doi.org/10.1002/cpt.2856Link opens in a new window
Peng, H., Darlington, A.P.S., South, E.J., Chen, H.-H., Jiang, W., Ledesma-Amaro, R., 2024. A molecular toolkit of cross-feeding strains for engineering synthetic yeast communities. NatMicrobiol9, 848–863. https://doi.org/10.1038/s41564-023-01596-4Link opens in a new window
Piaggio, D., Castaldo, R., Cinelli, M., Cinelli, S., Maccaro, A., Pecchia, L., 2021. A framework for designing medical devices resilient to low-resource settings. Global Health 17, 64. https://doi.org/10.1186/s12992-021-00718-zLink opens in a new window
Stokes, K., Castaldo, R., Franzese, M., Salvatore, M., Fico, G.,Pokvic, L.G.,Badnjevic, A., Pecchia, L., 2021. A machine learning model for supporting symptom-based referral and diagnosis of bronchitis and pneumonia in limited resource settings. Biocybernetics and Biomedical Engineering 41, 1288–1302. https://doi.org/10.1016/j.bbe.2021.09.002Link opens in a new window
Thornton, C.J., Chappell, M.J., Evans, N.D., Hardwicke, J., 2024. Portablemarkerlesshand motion capture system fordeterminingthe grasps performed in activities of daily living. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 11, 2296625. https://doi.org/10.1080/21681163.2023.2296625Link opens in a new window
Tindall, M., Chappell, M.J., Yates, J.W.T., 2022. The ingredients for an antimicrobial mathematical modelling broth. International Journal of Antimicrobial Agents 60, 106641. https://doi.org/10.1016/j.ijantimicag.2022.106641Link opens in a new window
Traynor, C., Sahota, T., Tomkinson, H., Gonzalez-Garcia, I., Evans, N., Chappell, M., 2021. Imputing Biomarker Status from RWE Datasets—A Comparative Study. JPM 11, 1356. https://doi.org/10.3390/jpm11121356Link opens in a new window
Wairagkar, M., Lima, M.R., Bazo, D., Craig, R.,Weissbart, H., Etoundi, A.C., Reichenbach, T., Iyengar, P., Vaswani, S., James, C.,Barnaghi, P., Melhuish, C., Vaidyanathan, R., 2022. Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots. IEEE Internet Things J. 9, 3174–3188. https://doi.org/10.1109/JIOT.2021.3097592Link opens in a new window
Weaver, L., Das, A.,Saffaran, S., Yehya, N., Scott, T.E.,Chikhani, M., Laffey, J.G., Hardman, J.G.,Camporota, L., Bates, D.G., 2021.High riskof patient self-inflicted lung injury in COVID-19 withfrequentlyencounteredspontaneous breathing patterns: a computational modelling study. Ann. Intensive Care 11, 109. https://doi.org/10.1186/s13613-021-00904-7Link opens in a new window
Werring, D.J.,Dehbi, H.-M., Ahmed, N., Arram, L., Best, J.G., Balogun, M., Bennett, K., Bordea, E., Caverly, E., Chau, M., Cohen, H., Cullen, M., Doré, C.J.,Engelter, S.T., Fenner, R., Ford, G.A., Gill, A., Hunter, R., James, M., Jayanthi, A., Lip, G.Y.H., Massingham, S., Murray, M.L., Mazurczak, I., Nash, P.S.,Ndoutoumou, A.,Norrving, B., Sims, H., Sprigg, N.,Vanniyasingam, T., Freemantle, N., Jelley, B., Hughes, T., Evans, M., Esteban, D.G., Knibbs, L., Broad, L., Price, R., Griebel, L.H., Hewson, S.,Thavanesan, K., Mallon, L., Smith, Anna, White, M., Zhang, L., Clarke, B.,Abousleiman, Y., Binnie, L., Sim, C.H., Castanheira, M., Humphries, F.,Obarey, S., Feerick, S., Lee, Y.C., Lewis, A., Muhammad, R., Francia, N.,Atang, N., Banaras, A., Marinescu, M., Ferdinand, P., Varquez, R., Ponce, I., Saxena, S., O’Brien, E., Reyes, J.D., Mitchell-Douglas, J., Francis, J., Banerjee, S., Dave, V.,Mashate, S., Patel, T., Sekaran, L., Murad, W.,Asaipillai, A., Sakthivel, S., Tate, M., Angus, J., Reid, L.,Fornolles, C.,Sundayi, S.,Poolon, L., Justin, F., Hunte, S., Bhandari, M., Kho, J.,Cvoro, V.,Parakramawansha, R., Couser, M., Hughes, H., Naqvi, A., Harkness, K., Richards, E., Howe, J., Kamara, C., Gardner, J., Bains, H., Teal, R., Joseph, J., Benjamin, J., Al-Hussayni, S., Thomas, G., Robinson, F., Dixon, L., Krishnan, M., Slade, P., Anjum, T., Storton, S., Adie, K., Northcott, K., Morgan, K., Williams, E.,Chanashekar, H., Maguire, H., Gabriel, C., Maren, D., David, H., Clarke, S.,Nagaratnam, K.,Nelatur, V., Mannava, N., Blasco, L., Devine, J., Bathula, R., Gopi, P., Mehta, N., Sreedevi Raj, S., Teo, J., Sztriha, L., Mah, Y.,Ankolekar, S., Sari, B.,Tibajai, M., Morgan, A.,Recaman, M., Bayhonan, S., Belo, C., Finch, S., Keenan, S., Bowring, A., Shetty, A., Chan, S., Gray, L., Harrison, T., Spooner, O., Kinsella-Perks, E.,Erumere, E., Sanders, B., Sims, D.,Willmot, M., Littleton, E., Spruce, E., Moody, L., Sheriden, C., Luxmore-Brown, S., Neal, A., Beddows, S., Tuna, M.A., Misra, A., Penn, R.,Mariampillai, S., Anwar, I., Annamalai, A., Whitehouse, S., Shepherd, L., Siddle, E., Chatterjee, K., Leason, S., Davies, A., Marigold, R.J., Frank, S., Baird, A., Hannam-Penfold, T., Inacio, L., Smith, Simon,Eveson, D., Musarrat, K., Khan, S., Harris, T., Chowdhury, M., Alam, S., Jamieson, E.,Anyankpele, E., AlShalchi, F., Rivers, V., Bell, S., Francis, R., Beeby, D., Finch, J., Macleod, M.J., Guzman-Gutierrez, G., Carter, K., Irvine, J.,Gbadamoshi, L., Costa, T.,Heirons, S., Stoney, H., Shaw, L.,Choulerton, J.,Catibog, D., Sattar, N., Myint, M., Smith, Andy, Serac, K., Emsley, H., Sultan, S., Gregary, B., Brown, A., Mahmood, A., Chattha, N., Old, W., Pegg, C., Davey, M., Page, M., Sandhu, B., Phiri, E., Rashed, K., Wilson, E., Hindley, E., Board, S., Antony, S.,Tanate, A., Davis, M., Holland, B., Slater, V., Fawcett, M., England, T., Scott, J., Beavan, J., Hedstrom, A.,Karunatilake, D.,Gillmain, K., Singh, N., Hallows, T., Barber, M., Yates, L., Micallef, C., Esson, D., Meng Yu, W., Ming New, B.J., Matos, A., Burt, C., Cabrelli, L., Wilkie, G.,Meegada, M., Kirthivasan, R., Fox, C., Mead, V., Lyle, A., Saksena, R., Bakshi, A., O’Kelly, A., Rehan, J.,Ebueka, O., Cooper, M., Wynter, I., Smith, Susan, Kumar, S., O’Brien, L., Parker, C., Parker, E., Khan, N., Patterson, C., Maguire, S., Quinn, O., Bellfield, R., Behnam, Y., Costa, J., Padilla-Harris, C.,Moram, L., Raza, S.A., Tench, H., Sims, T., McGuinness, H.,Loosley, R., Wolf-Roberts, R., Buddha, S., Salt, I., Lewis, K.,Mavinamne, S., Ditchfield, C., Dealing, S., Shah, A.,Crossingham, G.,Mwadeyi, M., Kenton, A., Omoregie, F., Abubakar, S., Warwick, A., Hector, G., Hassan, A.,Veraque, E., Farman, M., Makawa, L., Byrne, A., Kirkham, J., Blayney, G., Selwyn, J., Kakar, P., AlKhaddour, M., Dhami, R., Baker, E.,Esisi, B., Clarkson, E., Fellowes, D.,Kresmir, J.,Guyler, P., Ngo, D.,Wijenayake, I.,Tysoe, S., Galliford, J., Harman, P., Garside, M.,Badanahatti, M., Smith, Anna, Riddell, V.,Gramizadeh, G., Dutta, D.,Bajoriene, M., Erdogan, H., Ward, D.,Doubal, F., Samarasekera, N.,Risbridger, S., MacRaild, A., Azim, A., Wood, L.,Tampset, R., Shekhar, R., Rai, U., Fuller, T., Joshy, A., Nadar, E., Kini, M., Ahmad, S., Robinson, M., King, L., Srinivasan, V., Karwacka-Cichomska, M., Moore, V., Smith, K.,Kariyadil, B., Kong, K., Hubbard, K., Arif, S., Hasan, M., Temple, N.,Arcoria, D., Horne, Z., Soe, T., Wyllie, H., Hacon, C., Sutherland, H., Menezes, B., Johnson, V., Smyth, N., Mehdi, Z., Tone, E., Bradley, A., Levell, E., Ekkert, A., Mazzucco, S., McCafferty, L.,Vonoven, L., Dewan, S., Sridhar, P., Thomas, J., Coetzee, S., Icke, B., Williams, J., Saravanan, N., Bradley, P., Gibson, R.M., Antony, J., Ashraf, I., Mabuti, J.,Kamundi, C.,Patiola, P., Oakley, N., Proeschel, H., Kelly, D., Longley, W., Cave, A.,Ambrico, C., Black, T., Porretta, E., Anthony, A., Ragab, S., Dube, J., Kausar, S., Gujjar, A., Abdullah, M., Kaur, D.,Gadapa, N., Choudhary, S., Nisar, N., Fawehinmi, G., Dunne, K., King, S., Kishore, A., Lee, S., Marsden, T., Slaughter, M., Cawley, K., Perez, J., Anderton, P., Soussi, S.,Walstow, D., Pugh, R., Manoj, A., Fletcher, G., Lopez, P., McCormick, M., Magee, M., Tallon, G., McFarland, D., Cosgrove, D.,Shinh, N., Metcalf, K., Kostyuk, A., McDonald, S., Sayers, S., Sayed, W., Abraham, S., Szabo, G., Crosbie, G.,McIlmoyle, J., Fearon, P., Courtney, K., Tauro, S., Singh, A., Nair, A.,Duberley, S., Philip, S., Curley, C., Goddard, W., Bridge, L., Willcoxson, P.,Wanklyn, P., Owen, J., France, J., Reed, B., Foulds, A., Richard, B., Parfitt, L.,Affley, B., Russo, C., Dsouza, M., Cruddas, E., Hargroves, D., Rand, J., Shekar, S., Bhat, Y., Marshall, G., Nash, M., Ahmad, N.,Okoko, B.O., Evans, R., Taylor, T., Dawson, J., Colquhoun, E., James, C., Aguirre, C., MacPhee, C., Phipps, J.,Ispoglou, S., Hayes, A., Evans, R., 2024. Optimal timing of anticoagulation after acute ischaemic stroke with atrial fibrillation (OPTIMAS): a multicentre, blinded-endpoint, phase 4, randomised controlled trial. The Lancet 404, 1731–1741. https://doi.org/10.1016/S0140-6736(24)02197-4Link opens in a new window
Research Project Spotlights:
Coming soon...
Coming soon...
Coming soon...
| Title | Funder | Award start | Award end |
|---|---|---|---|
| NanoX (ERC Synergy transfer in) | European Research Council (ERC) | 01 Jun 2025 | 31 May 2030 |
| Bioeconomy global centres (Manchester-led) | BBSRC | 01 May 2025 | 30 Apr 2030 |
| Race Against Dementia Fellowship- Metal nanoparticles in olfactory bulb: investigating origins, impact, and implications for tackling dementia | Alzheimers Research UK | 01 Oct 2023 | 30 Sept 2028 |
| A RADICAL SOURCE REVEALED IN SOIL: Biogenic Nitrous Acid Production and Effects on Carbon and Nitrogen Cycling - NERC Pushing the Frontiers | NERC | 01 Jul 2025 | 30 Jun 2028 |
| UKRI Ecosystem for rapid adoption of new data types and innovative methods used in medicinal product development and evaluation ( | UK Research and Innovation | 01 Jan 2024 | 31 Dec 2027 |
| Probing the origin and evolution of metallic and low-oxidation state iron and copper nanoparticles in the brain | EPSRC | 01 Oct 2024 | 31 Jul 2027 |
| Combinatorial Biosynthetic Pathway Engineering | EPSRC | 01 Apr 2024 | 30 Jun 2027 |
| Nutrient Soil Stoichiometry Transformation for Optimized Resource Management | Department for Environment, Food and Rural Affairs | 01 Apr 2024 | 31 Mar 2027 |
| What do I smell here: volatile organic compounds to detect and monitor (pre)malignant colorectal lesions in high-risk individuals. | Foundation VUmc | 01 May 2023 | 31 Dec 2026 |
| What do I smell here: volatile organic compounds to detect and monitor (pre)alignment colorectal lesions in high-risk individuals | Foundation VUmc | 01 Nov 2021 | 31 Dec 2026 |
| UKRI Engineering Biology Mission Awards: Optimal cell factories for membrane protein production | BBSRC | 14 Feb 2024 | 30 Sept 2026 |
| Overcoming cellular constraints for real-world engineering of biological systems. | Royal Academy of Engineering | 06 Sept 2021 | 05 Sept 2026 |
| Nasal High Flow for Respiratory Support In Silico Research | Fisher & Paykel Healthcare Limited | 09 Jan 2023 | 08 Jul 2026 |
| Parameter identification with optimal experimental design for engineering biology: EPSRC Early Career Researcher International Collaboration Grants | EPSRC | 01 Feb 2024 | 30 Jun 2026 |
| Is the tree phyllosphere microbiome an overlooked and important sink for carbon monoxide? | NERC | 01 May 2023 | 30 Apr 2026 |
| TuberSense - Early detection of potato diseases through volatile sensing to reduce food waste in the supply chain | UK Research and Innovation | 01 Jul 2021 | 30 Apr 2026 |
| Model-informed Development and Dose Rationale for Combination Therapy in Oncology | GlaxoSmithKline PLC | 01 Oct 2022 | 31 Mar 2026 |
| FBR-Free: Evolving innovative solutions to early detect fusarium basal rot in British onion production | Innovate UK | 01 Jan 2024 | 31 Dec 2025 |
| Correlative spectromicroscopy to advance metallomics: application to Progressive Supranuclear Palsy | Diamond Light Source Ltd | 01 Oct 2021 | 30 Sept 2025 |
| Breath Analysis for the Diagnosis and Monotiring of Respiratory Tract Infections | IMSPEX Diagnostics Ltd | 01 Oct 2021 | 30 Sept 2025 |
| Evaluation of Volatile Organic Compound Signatures as a Predictive and Theraputic Response Biomarker for Mepolizumab Therapy in Severe Eosinophilic Asthma | University Hospital Southampton NHS Foundation Trust | 01 Jul 2021 | 30 Sept 2025 |
| BIOREME - Assessing the impact of patient-ventilator asynchrony for patients receiving invasive mechanical ventilation whilst mildly sedated | EPSRC | 01 Jun 2025 | 31 Jul 2025 |
To be updated for the academic year 25/26
Upcoming Events
April 15th - Dr. Moein Samadi
📍A4.01, School of Engineering // Teams (hybrid)
🕰️ 13:00 - 14:00, April 15th 2026
Dr. Moein Samadi (Institute of Computational Biomedicine at RWTH Aachen University) will deliver a talk titled Integrating knowledge into learning from data: what, why, and how.
The talk will explore how hybrid models (combining mechanistic knowledge with data-driven AI) can produce more robust and interpretable data for reliable biomedical knowledge management.
Download the poster for this talk here.
Those interested in attending can email Amy.I.Phelps@warwick.ac.uk.
Past Events
Information about past events and speakers will be updated here.
Jan 20, 2026 - Giacomo Pratesi (Paperbox Health).Link opens in a new window
Nov 10, 2025 - Professor Tae Seok Moon (J. Craig Venter Institute).
Sep 8, 2025 - Professor Leandro Pecchia (University of Warwick).Link opens in a new window
The Biomedical Engineering Institute (BMEI) is a Centre that brings together broad research capabilities in the School of Engineering and beyond, in the field of biomedical engineering. Staff at BMEI work on a breadth of cross-cutting problems underpinning real-world applications in the field of biomedicine, across a spectrum of perspectives from fundamental science to technological device development.
Activity and Expertise
Our knowledge and expertise cover the breadth of biomedical engineering, including:
- Biomedical Devices, Sensors and Sensing Technologies
- Biomedical Systems Modelling and Synthetic Biology
- Biomedical Signal Processing
- Biomedical Imaging & Nanotechnology
- Cellular and Medical Biomechanics
BME Teaching
We offer an undergraduate elective teaching program for those interested in biomedical engineering as part of our undergraduate intake - see here Link opens in a new windowfor more details on our Biomedical Systems Engineering course. We also have a dedicated MSc programme in biomedical engineering. You can get more information about this programme by looking here. Take a look at a video explaining our MSc in BME here.
Undergraduate Courses
Biomedical Systems Engineering
Learn how to solve biomedical problems using Engineering methods and tools.
Available Course Options
- BEng Biomedical Systems Engineering (H161)
- MEng Biomedical Systems Engineering (H163)
If you aspire to achieve Chartered Engineer (CEng) status, a degree from Warwick is a great starting point. The majority of our degrees are accredited by licensed professional engineering institutions, such as the IET, IMechE and JBM and provide the academic component (in part or fully) needed for Chartered Engineer status.
Postgraduate Taught Courses
Postgraduate Research Courses
Warwick’s School of Engineering has a vibrant postgraduate research community, with over 150 students pursuing postgraduate research degrees and more than 40 postdoctoral researchers.
Our position as a general engineering department strengthens our capabilities, enabling multi-disciplinary collaborative research. Our researchers engage with colleagues from across Warwick and beyond to develop innovative solutions to real-world challenges. Our partners include universities, SMEs, large businesses, NHS Trusts and charitable organisations.
To become a member or sign up to receive updates from the Biomedical & Biotechnology Cluster, please email eng.research@warwick.ac.uk