Stream 2: AI in society, leadership and the patient perspective
Learn about where AI developments sit within legal, sustainability and ethical frameworks, learning from leaders in the field and what patients think about our work.
Leads - Dr Raj Jena and Professor Susan Shelmerdine
Session 5: Multi-omics and the future
Precision medicine is moving to an integrative approach where imaging and other data readouts are combined for personalised treatment planning using the power of AI. As datasets grow and complexity, how do we ensure that AI augmented personalised decision making is useful, explainable and free from bias?
Learning outcomes:
- Learn the principles behind the use of AI for data integration in imaging and genomics studies and consider frameworks that are available to identify hazards and bias in multi-omic data
- Examine the potential utility and risk of foundation models
Chair: To be announced
Time |
Talk Title |
Speaker |
11:45 |
Welcome |
To be announced |
11:15 |
Data storage/curation on population level for multimodal personalised medicine AI |
To be announced |
12:10 |
Multimodal AI in Digital Twins |
To be announced |
12:30 |
Generative AI for multi-modal models |
Mr. Javier Alvarez-Valle, Microsoft |
12:50 |
Panel discussion |
|
11:50 |
Close |
Programme subject to change