The Precision Driven Health partnership had an exciting summer of research in 2016-2017 with 11 students completing precision medicine projects.
The students, from the University of Auckland and Auckland University of Technology, had backgrounds mainly in medicine or information technology/computer science. They investigated projects which spanned the health sector, including:
- Mobile diagnostic chatbots with natural language processing for use by GP offices,
- Prediction of outcomes from cardiac resynchronisation therapy using machine learning techniques,
- Development of an mHealth app for patient post discharge information,
- Analytical interrogation of the MedChart electronic prescribing and information system,
- Analysis of chronic pain patient data for prediction of treatment outcomes,
- Creation of an electronic decision support tool to guide treatment for patients with atrial fibrillation,
- Creation of an interface to help clinicians find higher-quality knowledge – such as from research papers – faster and more accurately,
- Prediction of acute coronary patient responsiveness to anti-platelet medication using personalised genotype information,
- Analysis of user experience and engagement with health data using app analytics approaches,
- Modelling personalised child growth and development charts using data from New Zealand and Australian sources,
- Exploring detection of long term conditions using data from advanced body sensors.
Studentship recipients included Nick James, Kevin Howe, Laura McCrae, Dung Ngo, Kate Kilpatrick, Kieran McCullough, and Lin Ni (all supervised through the University of Auckland), and Mohsin Baig, Hiten Karamchandani, Nikki Kluger, and Jamal Zolhavarieh (all supervised through AUT).