AI for healthcare

Causal Reasoning in Medical Digital Twins: Methods and Architectures

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B3 R5209

This dissertation develops a principled computational framework for causal reasoning in Medical digital twins (MDT) systems, moving beyond correlation-driven approaches toward explainable and biologically grounded decision support.

AI speeds up human embryo model research

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Deep-learning tool outperforms human experts at classifying lab-grown embryo-like structures, enabling advances in developmental biology and drug discovery.
AI tool maps hidden links between diseases

AI tool maps hidden links between diseases

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Understanding how diseases trigger one another could lead to better treatments, prevention strategies and improved genetic risk prediction.

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.