Artificial Intelligence and Machine Learning systems have the potential to create devices which can act autonomously without human intervention. This event explores Imperial’s research and work that aims to reach this goal. We will explore Imperial innovations in personalised and precision medicine, in human / machine robotics and in synthetic biology.
Our event welcomes colleagues from business and industry as well as Imperial’s clinicians and researchers.
Keep an eye on this listing for future updates as we confirm more speakers and topics of discussion. We will be accepting submissions for PhD posters for the exhibition session, so please get in touch if you feel your project would be a good fit!
Programme
Registration, lunch and Exhibition: 13:00 – 14:00 RSM 3.01
Introduction & Keynote 14:00 – 14:30 RSM 2.28
14:00 – 14:15 Dr Hutan Ashrafian, From pixels to paradigms: How next-gen AI is reshaping science.
14:15 – 14:30 Professor Aldo Faisal, AI for treatment: Towards real world AI clinicians.
Session 1 – Precision Medicine 14:30 – 15:30 RSM 2.28
14:30 – 14:45 Professor Anthony Gordon, The AI clinician for sepsis.
14:45 – 15:00 Professor Zoltan Takats, Talk title TBC
15:00 – 15:15 Dr Rui Pinto, Increasing statistical power and annotation capability in untargeted LC-MS metabolomics using machine learning.
15:15 – 15:30 Professor Payam Barnaghi and Louise Rigny, EHR-Driven Machine Learning for Precision Medicine in Paediatric Care.
Break & Exhibition 15:30 – 16:00 RSM 3.01
Session 2 – Enabling Technologies 16:00 – 17:00 RSM 2.28
16:00 – 16:15 Professor Dario Farina, The impact of AI in semi-autonomous wearable robotics.
16:15 – 16:30 William Bolton, AI Decision Support for Antimicrobial Stewardship: Navigating Clinical Translation.
16:30 – 16:45 Dr Joram Matthias Posma, A medical image is worth less than a thousand words: Computer-assisted diagnosis with automated report generation.
16:45 – 17:00 Dr Dandan Zhang, AI-based robotic dexterous micromanipulation for biomedical applications.
Reception & Exhibition 17:00 – 18:30 RSM 3.01