Our AI for Healthcare Centre (#AI4Health ) brings together researchers in AI and medicine to unlock the potential of technology in tackling real healthcare challenges. From improving diagnosis to transforming patient care, our work is helping shape a future where AI supports better health, wellbeing, and everyday clinical practice.
We are excited to share how this research can lead to real-world solutions 鈥 from patient-ready AI tools to innovative, data-driven breakthroughs in biomedical science 鈥 and why these advances matter to everyone.
AI4Health Researcher Paul Pohl听
will show you how his artificial ECG simulations work.听 His research aims to build an advanced AI model that can generate realistic but privacy鈥憇afe synthetic clinical data. The goal is to recreate the richness and complexity of real patient records over time, without exposing sensitive personal information. These synthetic datasets could support a range of healthcare applications, such as improving tools that detect heart rhythm problems, testing monitoring systems, simulating drug-related cardiac effects, and providing more data for rare or underrepresented patient groups. The research will also carefully assess how realistic and useful the generated data is, while ensuring that patient privacy remains protected and measurable.
AI4Health Researcher Arthur Lefebvre
will show you different heart simulations.听 His research aims to create reliable, personalised computer models for patients with heart failure who are receiving cardiac resynchronization therapy, a treatment that helps the heart beat more effectively. Using artificial intelligence and machine learning, the research will speed up how these models are adapted to individual patients and provide clear estimates of how confident the predictions are. The models will be tested and validated using real patient data to ensure they are accurate and trustworthy. The project will also build a 鈥渧irtual patient鈥 population, allowing researchers to run large-scale computer-based experiments. This includes exploring which factors most influence treatment outcomes and simulating clinical trials to study how patients respond to therapy without putting anyone at risk.
AI4Health Researcher Ollie Pitts
will show you how his 鈥榪CT platform鈥 (quantitative computer tomography).听 His research aims to improve how chronic respiratory diseases like asthma are understood and diagnosed. These conditions are complex and vary greatly from one person to another, making them difficult to accurately identify and treat. Recent advances in medical imaging, such as high鈥憆esolution CT scans, along with new AI techniques, offer better ways to detect subtle differences in lung structure and function, bringing different approaches together by combining imaging data, clinical tests, patient information, and biological samples.
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Visiting us at the stand, is also a chance to open up the conversation around AI in healthcare,to demystify how it works, explore both its benefits and challenges, and inspire people to imagine a future where AI enhances every stage of the healthcare journey.