Medicine of the future

Explore the evolution of biomaterials, computational medicine and medical imaging


Course outline

The field of medical science is constantly evolving; advances in various technologies are changing the face (or maybe that should be the brain) of modern medicine. The creation and advancement of medical imaging technologies enable us to see inside our bodies. The field of biomaterials and bioengineering have advanced so much that we can implant or even grow new body parts to replace those that have worn out. These technologies have been vital in the improvement of disease diagnosis, treatments and consequently increased life expectancy. Computers are streamlining all areas of our lives and the field of medicine is no exception.

In particular, computational models are providing a pathway towards personalised medicine – whereby treatments are not prescribed for a disease per se but for a specific person. These computer models can predict and simulate the functioning within our body and allow us to tie together vast amounts of biological and medical data emerging around the globe.

In this session, Senior Lecturer Dr Kelly Burrowes from Faculty of Engineering will discuss a few key areas related to the topics above – including the evolution of biomaterials, computational medicine and medical imaging.



  • Thursday 23 August, 10am – 12pm
  • $35.00 incl. GST
  • The University of Auckland, City Campus
  • Presented by Dr Kelly Burrowes

Seminar presenter

Dr Kelly Burrowes

Dr Kelly Burrowes

Senior Lecturer

Dr Burrowes completed an undergraduate degree in Chemical and Materials Engineering and pursued a PhD in Bioengineering, both at the University of Auckland. She spent nine years as a researcher at the University of Oxford and has since returned to Auckland as a Senior Lecturer in the Department of Chemical and Materials Engineering. Dr Burrowes has a passion for all things lung and is working towards creating clinically useful tools for assessing lung function in different respiratory diseases. Her research focusses on developing computational models and medical imaging techniques to measure lung function and improve clinical care.

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