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AI-Powered Drug and Biomarker Discovery Using Multi-Modal Image Data
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Role of the tumour microenvironment – Understanding how spatial organisation of different cell types and their interactions drive cancer progression and resistance.
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Explainable deep learning with graph neural networks – Developing graph-based models to reveal tumour heterogeneity and microenvironmental features and identify target cellular populations
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Application in drug and biomarker discovery – Applying these methods to multiplexed imaging and exploring their potential for identifying therapeutic targets and informing drug development.
