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SUMMARY:AI4Health Centre @ The Great Exhibition Road Festival 2026
DESCRIPTION:Our AI for Healthcare Centre (#AI4Health ) brings together rese
 archers in AI and medicine to unlock the potential of technology in tackli
 ng real healthcare challenges. From improving diagnosis to transforming pa
 tient care\, our work is helping shape a future where AI supports better h
 ealth\, wellbeing\, and everyday clinical practice.\nWe are excited to sha
 re how this research can lead to real-world solutions — from patient-rea
 dy AI tools to innovative\, data-driven breakthroughs in biomedical scienc
 e — and why these advances matter to everyone.\n\nAI4Health Researcher P
 aul Pohl \nwill show you how his artificial ECG simulations work.  His r
 esearch aims to build an advanced AI model that can generate realistic but
  privacy‑safe synthetic clinical data. The goal is to recreate the richn
 ess and complexity of real patient records over time\, without exposing se
 nsitive personal information. These synthetic datasets could support a ran
 ge of healthcare applications\, such as improving tools that detect heart 
 rhythm problems\, testing monitoring systems\, simulating drug-related car
 diac effects\, and providing more data for rare or underrepresented patien
 t groups. The research will also carefully assess how realistic and useful
  the generated data is\, while ensuring that patient privacy remains prote
 cted and measurable.\n\nAI4Health Researcher Arthur Lefebvre\nwill show yo
 u different heart simulations.  His research aims to create reliable\, pe
 rsonalised computer models for patients with heart failure who are receivi
 ng cardiac resynchronization therapy\, a treatment that helps the heart be
 at more effectively. Using artificial intelligence and machine learning\, 
 the research will speed up how these models are adapted to individual pati
 ents and provide clear estimates of how confident the predictions are. The
  models will be tested and validated using real patient data to ensure the
 y are accurate and trustworthy. The project will also build a “virtual p
 atient” population\, allowing researchers to run large-scale computer-ba
 sed experiments. This includes exploring which factors most influence trea
 tment outcomes and simulating clinical trials to study how patients respon
 d to therapy without putting anyone at risk.\n\nAI4Health Researcher Ollie
  Pitts\nwill show you how his ‘qCT platform’ (quantitative computer to
 mography)\, and how it can predict lung health with AI. 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. Recen
 t advances in medical imaging\, such as high‑resolution CT scans\, along
  with new AI techniques\, offer better ways to detect subtle differences i
 n lung structure and function\, bringing different approaches together by 
 combining imaging data\, clinical tests\, patient information\, and biolog
 ical samples.\n \nVisiting us at the stand\, is also a chance to open up 
 the conversation around AI in healthcare\,to demystify how it works\, expl
 ore both its benefits and challenges\, and inspire people to imagine a fut
 ure where AI enhances every stage of the healthcare journey.\n
URL:https://www.imperial.ac.uk/events/210143/ai4health-centre-the-great-exh
 ibition-road-festival-2026/
DTSTART;TZID=Europe/London:20260606T120000
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LOCATION:Queens Tower Rooms: Open plan space Ground floor of Sherfield Buil
 ding\, Sherfield Building\, South Kensington Campus\, Imperial College Lon
 don\, London\, SW7 2AZ\, United Kingdom
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