AI for healthcare

Causal Reasoning in Medical Digital Twins: Methods and Architectures

Sakhaa Alsaedi, Ph.D. Student, Computer Science

Apr 29, 03:00 - 05:00

B3 R5209

explainable AI reasoning causal representation learning medical digital twins personalized medicine AI AI for healthcare

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.

Karen Sanchez

Postdoctoral Research Fellow

Computer Vision machine learning AI for healthcare deep learning Medical imaging

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.