Building a Virtual Brain: Digital Twin for Precision Glioma Surgery

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• Queenie Wong, Department of Clinical Neuroscience
• Monday 28 April 2025, 12:30-13:00
• SS03 Seminar Room, Willam Gates building (Department of Computer Science and Technology).

If you have a question about this talk, please contact Sam Nallaperuma-Herzberg.

Glioma surgery requires a delicate balance between maximising extent of tumour resection and minimising post-operative neurological deficits to optimise both survival and functional outcomes. Despite advanced peri-operative neuroimaging and intra-operative brain mapping, outcome prediction is not always accurate.

A digital twin is a virtual replica of a physical entity. In healthcare settings, digital twins simulate disease progression and treatment outcomes by integrating multi-modal data with continuous updates. This approach aims to improve the accuracy of patient-specific prognosis and allow clinicians to test their treatment plans on the digital twin. While it is gaining traction in fields like cardiology, its application in neurosurgical oncology is still largely theoretical.

This seminar will explore the potential of digital twin technology in glioma treatment. Current literature on AI-driven brain modelling, patient outcome prediction, and surgical planning will be reviewed, highlighting the need for a more individualized, integrated, and interpretable digital twin system to support personalised neurosurgical decision making for patients with gliomas. Key challenges and opportunities of developing such a system will also be discussed.

This talk is part of the Accelerate Lunchtime Seminar Series series.

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