A microfluidic approach to study the mechanobiology of ageing blood vessels. This project aims to study the effect of the stiffening of ageing arteries in endothelial cells. It explores the changes that occur in endothelial cells using a unique microfluidic technology with tuneable wall stiffness to mimic the biophysical and biochemical properties of ageing arteries. The expected outcome is the identification of the cellular mechanisms that control endothelial responses to arterial stiffening. T ....A microfluidic approach to study the mechanobiology of ageing blood vessels. This project aims to study the effect of the stiffening of ageing arteries in endothelial cells. It explores the changes that occur in endothelial cells using a unique microfluidic technology with tuneable wall stiffness to mimic the biophysical and biochemical properties of ageing arteries. The expected outcome is the identification of the cellular mechanisms that control endothelial responses to arterial stiffening. This should provide the fundamental knowledge required to assist in the development of new therapies to tackle age-related conditions such as cardiovascular disease and dementia.Read moreRead less
Sinusoidal voltage protocols for characterisation of ion channel kinetics. This project aims to implement an innovative approach to modelling ion channel behaviour that employs short, information-rich datasets and parameter inference. Using the hERG potassium channel as a test case, the project will show that this approach is more efficient than current methods and outperforms all published models in independent validations. The project aims to extend on initial implementation to probe the therm ....Sinusoidal voltage protocols for characterisation of ion channel kinetics. This project aims to implement an innovative approach to modelling ion channel behaviour that employs short, information-rich datasets and parameter inference. Using the hERG potassium channel as a test case, the project will show that this approach is more efficient than current methods and outperforms all published models in independent validations. The project aims to extend on initial implementation to probe the thermodynamics and pharmacology of ion channel gating. The anticipated outcomes are to grow fundamental knowledge of ion channel biophysics and ability to probe ion channel function in silico. The project will build on an emerging collaboration between international leaders in physiology, pharmacology, mathematics and computer modelling. The methodology and fundamental knowledge generated will significantly advance our understanding of the physiology and biophysics of ion channels, while the application of the method will have direct impact in the pharmaceutical industry and regulatory science.Read moreRead less
Multiscale and multimodal modelling of brain dynamics. This project aims to understand dynamics of how several brain regions work together to process information. This project will generate new knowledge in brain sciences by using state of the art computational modelling and neuroimaging methods like functional and diffusion magnetic resonance imaging and electromagnetic measurements. This project will develop technologies to compute multiscale, multimodal and directed connectivity in the brain. ....Multiscale and multimodal modelling of brain dynamics. This project aims to understand dynamics of how several brain regions work together to process information. This project will generate new knowledge in brain sciences by using state of the art computational modelling and neuroimaging methods like functional and diffusion magnetic resonance imaging and electromagnetic measurements. This project will develop technologies to compute multiscale, multimodal and directed connectivity in the brain. Expected outcomes of this project will enhance our understanding of the brain’s functional organization and dynamics. The benefits of this project will include breakthroughs in development of new neuro-technologies like brain-machine interfaces and neuroscience inspired artificial intelligence. Read moreRead less