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SUMMARY:Precision Oncology through Digital Twins: Mechanisms\, Models\, an
 d Clinical Applications - Jasmin Fisher (University College London)
DTSTART:20250918T123000Z
DTEND:20250918T131500Z
UID:TALK235192@talks.cam.ac.uk
DESCRIPTION:\nCancer is a complex systemic disease driven by genetic and e
 pigenetic aberrations that impact a multitude of signalling pathways opera
 ting in different cell types. The dynamic and evolving nature of the disea
 se leads to tumour heterogeneity and treatment resistance\, posing signifi
 cant challenges for designing effective therapeutic strategies. Digital tw
 ins of cancer tumours are emerging as a transformative tool in oncology to
  enable a more personalised\, adaptive approach to treatment. In this talk
 \, I will present a growing library of mechanistic\, data-driven computati
 onal models that capture key signalling pathways within tumour cells and t
 heir microenvironment across several cancer types\, including triple-negat
 ive breast cancer\, non-small cell lung cancer\, melanoma and glioblastoma
 . These interpretable models allow us to uncover and anticipate emergent r
 esistance mechanisms\, and to design patient-specific treatment strategies
  that counteract the forces of clonal selection driving treatment relapse.
  By integrating mechanistic insights with clinical data\, we aim to optimi
 se therapeutic interventions for patients with hard-to-treat cancers and a
 dvance the clinical utility of digital twins in precision oncology.\n
LOCATION:Seminar Room 1\, Newton Institute
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