Every Patient Deserves Their Own Equation: Towards Digital Twins for Neuro-Oncology

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• Kristin Swanson (Cedars-Sinai Medical Center)
• Friday 19 September 2025, 15:40-16:40
• Seminar Room 1, Newton Institute.

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OOEW07 - Mathematical Foundations of Oncological Digital Twins

Glioblastoma is a uniquely challenging and aggressive cancer that is practically considered uniformly fatal. This aggressiveness is driven by heterogeneity between and within patients and the diffuse invasion of tumor cells deep into the normal appearing brain tissue surrounding the frank tumor abnormality.  We use our unique collection of 1000+ image-localized biopsies across nearly 200 patients to detect sex-distinct patterns of mapping between regional imaging features and underlying regional tumor biology. Specifically, we build mathematical models that fuse locoregional changes on MRI to underlying changes in tumor biology.  We apply the resultant spatio-temporal models to serial imaging of patients receiving a variety of standard of care and novel therapeutics to track tumor dynamics under said therapies.  This allows us unprecedent insight into the dynamics of each patients tumor under therapy.  This includes detecting clonal loss through targeted therapies as well as shifts in the tumor ecosystem under immunotherapies.  In this presentation, I will demonstrate how these methods can be brought together to help us detect, decipher and predict tumor dynamics and evolution in patients.   Taken together, these complimentary approaches provide a platform to incorporate inter- and intra- tumoral heterogeneity into accurate digital twin strategies for glioblastoma patients.

This talk is part of the Isaac Newton Institute Seminar Series series.

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