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NeSI provides a range of services, people, expertise, and information to help computational research projects become reality

Medical Science
On 1 July 2025, the roles, services and technologies of New Zealand eScience Infrastructure (NeSI) were integrated into the crown-owned company, Research and Education Advanced Network New Zealand (REANNZ). Stay connected with us by visiting the REANNZ website.
 

Improving heart disease prediction and prognosis

“NeSI enabled us to run biologically realistic, numerical experiments, which are impossible to conduct in vivo.”
Subject: 
Medical Science

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.”
Subject: 
Medical Science
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.”
Subject: 
Medical Science
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
Subject: 
Medical Science

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.”
Subject: 
Medical Science

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.”
Subject: 
Medical Science
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”
Subject: 
Medical Science

Genetics and metabolic syndrome

“By using NeSI, the length of time to complete this analysis was reduced by weeks.”
Subject: 
Medical Science

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.
Subject: 
Medical Science
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.
Subject: 
Medical Science