Quantitative and AI technologies for knowledge discovery from bioimage data
- Abstract number
- 70
- Presentation Form
- Invited
- Corresponding Email
- [email protected]
- Session
- Session 3 - The AI Revolution: from Image Analysis, to Intelligent Acquisition, to Chatbots Designing your Experiments and Writing your Papers
- Authors
- Heba Sailem (1)
- Affiliations
-
1. King's College London
- Abstract text
Imaging technologies provide a powerful approach to simultaneously study the signalling and organisational state of cells. I will discuss the development of machine learning and computer vision methodologies for automated phenotyping and visualisation of bioimage data. This includes predictions of patient outcomes from histopathological and highly multiplexed imaging data. I will demonstrate how, by designing explainable AI systems, we can move beyond predictive AI to explain underlying biological phenomena and driving cellular events.