We are dedicated to improving patient outcomes through innovation at the point of care. Optimised monitoring and objective, informed decision-making can revolutionise patient care and save lives.
Using our translational expertise, we marry medical engineering and statistical modelling with the aim of empowering clinicians to make better informed decisions at the bedside.
Our extensive team includes clinicians, neonatologists, physicists, neuroscientists, data scientists, and animal technicians.
The Precision Health in Surgical and Intensive Care (PHySIC) group, is combining active clinical research, novel clinical databases, and machine learning, to determine patient status and needs in critical care.
PHySIC is an open source, anonymous archive database holding continuous wave-form data alongside the usual clinical information sourced from ICU’s and intraoperative spaces across New Zealand’s District Health Boards.
Through relationships with Wellington Regional Hospital, Capital Coast DHB, and clinical collaborators, our team are actively working towards the creation of a novel, New Zealand-specific medical database based on MIT’s MIMIC (Multi-parameter Intelligent Monitoring in Intensive Care).
Data scientists and machine learning experts at the University of Otago, Wellington, and Victoria University Wellington are using the PHySIC database to create predictive models for the likes of sepsis and cardiac surgery risk, the potential for innovating treatment with predictive models extends to every corner of New Zealand critical care.
Translational and clinical researchers at the University of Otago Wellington campus have partnered with physicists and engineers at Victoria University Wellington with the aim to innovate bedside brain-health detection.
Through this collaboration, they hope to validate brain diagnoses and monitoring in an accessible paradigm. Making these capabilities more available will empower more clinicians in their decision making and lead to better care of critical neurological disorders.
The Centre for Translational Physiology at the University of Otago can offer unique research facilities such as:
- GENESIS environmental chamber able to simulate a variety of extreme environmental conditions by altering temperature, humidity and altitude.
- Whole body room calorimeter
- DXA scanner
- Ultrasound (transcranial, vascular, cardiac)
- Near-infrared spectroscopy
- Cardiopulmonary bypass
- Wireless physiological monitoring
The team, led from University of Otago Wellington campus, includes physiologists, surgeons, neonatologists, and engineers.
Point-of-care research leader
Associate Professor Shieak Tzeng, systems physiology and biomedical signal processing
- Mr Waqar Aziz, PhD student, PHySIC
- Dr Max Berry, PHySIC
- Dr Maria Saito-Benz, PhD student, PHySIC
- Associate Professor Paul Teal, PHySIC
- Dr Sergei Obruchkov, Victoria University of Wellington
- Mr Dion Thomas, PhD student, Victoria University of Wellington
Fan, J.-L., Brassard, P., Rickards, C. A., Nogueira, R. C., Nasr, N., McBryde, F. D., … Tzeng, Y.-C. (2021). Integrative cerebral blood flow regulation in ischemic stroke. Journal of Cerebral Blood Flow & Metabolism. Advance online publication. doi: 10.1177/0271678x211032029
Barclay, H., Mukerji, S., Kayser, B., O'Donnell, T., Tzeng, Y.-C., Hill, S., … Fan, J.-L. (2021). Respiratory alkalinization and posterior cerebral artery dilatation predict acute mountain sickness severity during 10 h normobaric hypoxia. Experimental Physiology, 106, 175-190. doi: 10.1113/EP088938
Fan, J.-L., O'Donnell, T., Lanford, J., Croft, K., Watson, E., Smyth, D., … Tzeng, Y.-C. (2020). Dietary nitrate reduces blood pressure and cerebral artery velocity fluctuations and improve cerebral autoregulation in transient ischemic attack patients. Journal of Applied Physiology, 129, 547-557. doi: 10.1152/japplphysiol.00160.2020
Ali, H., Brooks, C., Crane, J., Beasley, R., Le Gros, G., Holgate, S., … Pattemore, P., Tzeng, S., … Douwes, J. (2020). Autonomic nervous system activity in adolescent asthma. Respirology, 25(Suppl. 1), (pp. 38). doi: 10.1111/resp.13777
Allan, P. D., Saleem, S., O'Donnell, T., Fan, J.-L., Larsen, P. D., Berry, M. J., & Tzeng, Y.-C. (2019, September). New approaches to assessing and optimising cerebral perfusion. Verbal presentation at the Medical Sciences Congress (MedSci), Queenstown, New Zealand.