Uncover brain biomechanics via modelling, imaging, and experiment

Traumatic brain injury represents a global “silent pandemic,” affecting an estimated 69 million people each year. Despite its profound impact, the brain remains one of the least understood organ systems, as it perfectly hiddens within the skull. Current prediction, prevention and diagnosis strategies for brain injuries are still largely in their infancy due to a lack of detailed understanding and resolution of how physical forces give rise to localized tissue straining, and ultimately to the injury onset.

In this lecture, Zhou Zhou will present recent work from his research team and collaborators aimed at uncovering brain biomechanics through the integration of computational modelling, medical imaging, and experimental approaches. Zhou will demonstrate how the research (i) improves mechanistic understanding of brain trauma via neuroimaging-informed modelling (physics), (ii) accelerates injury assessment via data-driven and machine learning tools (prediction), and (iii) enhances headgear safety evaluation via experimental testing (prevention).