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SUMMARY:Every Patient Deserves Their Own Equation: Towards Digital Twins f
 or Neuro-Oncology - Kristin Swanson (Cedars-Sinai Medical Center)
DTSTART:20250919T144000Z
DTEND:20250919T154000Z
UID:TALK235219@talks.cam.ac.uk
DESCRIPTION:Glioblastoma is a uniquely challenging and aggressive cancer t
 hat is practically considered uniformly fatal. This aggressiveness is driv
 en by heterogeneity between and within patients and the diffuse invasion o
 f tumor cells deep into the normal appearing brain tissue surrounding the 
 frank tumor abnormality.&nbsp\; We use our unique collection of 1000+ imag
 e-localized biopsies across nearly 200 patients to detect sex-distinct pat
 terns of mapping between regional imaging features and underlying regional
  tumor biology. Specifically\, we build mathematical models that fuse loco
 regional changes on MRI to underlying changes in tumor biology.&nbsp\; We 
 apply the resultant spatio-temporal models to serial imaging of patients r
 eceiving a variety of standard of care and novel therapeutics to track tum
 or dynamics under said therapies.&nbsp\; This allows us unprecedent insigh
 t into the dynamics of each patients tumor under therapy.&nbsp\; This incl
 udes detecting clonal loss through targeted therapies as well as shifts in
  the tumor ecosystem under immunotherapies.&nbsp\; In this presentation\, 
 I will demonstrate how these methods can be brought together to help us de
 tect\, decipher and predict tumor dynamics and evolution in patients.&nbsp
 \; &nbsp\;Taken together\, these complimentary approaches provide a platfo
 rm to incorporate inter- and intra- tumoral heterogeneity into accurate di
 gital twin strategies for glioblastoma patients.
LOCATION:Seminar Room 1\, Newton Institute
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