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AI-Driven Mathematical Modeling for Personalized Predictions in Alzheimer's Disease Alzheimer’s disease (AD) is a highly heterogeneous neurodegenerative disorder, with patients exhibiting diverse biomarker trajectories, progression rates, and treatment responses. Capturing this variability requires models that can integrate mechanistic understanding with large-scale clinical data. In this talk, we present recent advances in AI-driven mathematical modeling for […] |
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Phenotypic Plasticity and Cancer Invasion: From Cell to Tissue-Level Dynamics Biological systems exhibit multiple levels of regulation, ranging from molecules and cells to multicellular structures that form tissues and organisms. These levels arise through dynamic interactions within and between components, giving rise to complex networks that largely determine biological function. Yet we still have a […] |
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AI Agents in Healthcare: From the Current Landscape to Adaptive Deployment AI in healthcare is moving beyond prediction and question answering toward agentic systems that can reason, use tools, maintain memory, and participate in complex workflows. In this talk, I will first present our recent survey of AI agents in healthcare, highlighting emerging applications across […] |
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