Health Data Integration and Exploitation in imaging
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Empowering Clinical Decision-Making through Multiscale AI
How can we move from seeing a lesion on a scan to truly understanding its molecular driver?
The research of Dr. Sandrine Muller sits at the intersection of AI and medicine, focusing on the integration of complex, multi-scale biological data.
By developing tools that link genomic-level data to macroscopic imaging, Dr. Miller’s work aims to transform medical imaging from a descriptive tool into a predictive one. Her research emphasizes the importance of “explainable AI”—ensuring that the next generation of diagnostic tools are not only highly accurate but also transparent, reliable, and seamlessly integrated into the clinical workflow.