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SUMMARY:Building a Virtual Brain: Digital Twin for Precision Glioma Surger
 y - Queenie Wong\,  Department of Clinical Neuroscience 
DTSTART:20250428T113000Z
DTEND:20250428T120000Z
UID:TALK229732@talks.cam.ac.uk
CONTACT:Sam Nallaperuma-Herzberg
DESCRIPTION:Glioma surgery requires a delicate balance between maximising 
 extent of tumour resection and minimising post-operative neurological defi
 cits to optimise both survival and functional outcomes. Despite advanced p
 eri-operative neuroimaging and intra-operative brain mapping\, outcome pre
 diction is not always accurate.\n\n \n\nA digital twin is a virtual replic
 a of a physical entity. In healthcare settings\, digital twins simulate di
 sease progression and treatment outcomes by integrating multi-modal data w
 ith continuous updates. This approach aims to improve the accuracy of pati
 ent-specific prognosis and allow clinicians to test their treatment plans 
 on the digital twin. While it is gaining traction in fields like cardiolog
 y\, its application in neurosurgical oncology is still largely theoretical
 .\n\n \n\nThis seminar will explore the potential of digital twin technolo
 gy in glioma treatment. Current literature on AI-driven brain modelling\, 
 patient outcome prediction\, and surgical planning will be reviewed\, high
 lighting the need for a more individualized\, integrated\, and interpretab
 le digital twin system to support personalised neurosurgical decision maki
 ng for patients with gliomas. Key challenges and opportunities of developi
 ng such a system will also be discussed.
LOCATION:SS03 Seminar Room\, Willam Gates building (Department of Computer
  Science and Technology)
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