Improving heart disease prediction and prognosis

“NeSI enabled us to run biologically realistic, numerical experiments, which are impossible to conduct in vivo.”
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University of Otago researchers join the international high-speed data superhighway

“NeSI provides its partners with access to best High Performance Computing practices from around the world; and with the concepts, ideas and practical help to make these sorts of research IT services a reality.”
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Virtual post-capillary venule, informed by biological data, used in our computational simulations

Understanding mechanical signalling in the microcirculation

“Our computational challenges were significant and required the high performance computing facilities available through NeSI.”
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Colour coded digitised image slice

Multi-scale modelling of saliva secretion

“Thanks to NeSI, we were able to render higher quality images and run many more simulation variants than would have been possible on a desktop computer.” Prof. James Sneyd
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Improving the treatment of heart disease

“Improving stent design by measuring the impact on blood flow may significantly reduce stent failures and ultimately save lives.”
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Genetics and metabolic syndrome

“By using NeSI, the length of time to complete this analysis was reduced by weeks.”
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Pushing cancer cells’ self-destruct button

“Synthetic lethality is an interaction between two genes where only inactivation of both genes kills a cell or organism.”
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Wahakura traditional Maori woven basket

Securely transferring health study data across the country

“The project team were originally going to courier hard drives across the country”
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Helping refine Parkinson’s disease analysis

A science researcher developing predictive models for pre-clinical detection of cognitive decline in Parkinson’s disease says NeSI is enabling him to conduct his research more effectively.
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Modelling of a drug bound to the migraine target Calcitonin gene-related peptide

Molecular modelling in cancer research

Advances in computing are vital to cancer research. They open up opportunities to discover new drugs from the molecular basis of disease.
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