RESEARCHER PROFILE
Huiwen Pang, PhD candidate (Filmed Nov 2023)
Australian Institute for Bioengineering and Nanotechnology
University of Queensland
Australia
Huiwen Pang is a 3rd year PhD candidate in the Australian Institute for Bioengineering and Nanotechnology, University of Queensland, focusing on biomedical health research. Prior to commencing his PhD, Huiwen studied animal genetics in his Masters degree at Huazhong Agriculture University in China.
People with diabetes, especially Type 1 diabetes, largely rely on the insulin injections or insulin pumps to control their high blood glucose levels, which is painful and has a high risk of infections.
Huiwen Pang is conducting research on nano-based drug formulations for Type 1 diabetes treatment, with a focus on using nanomaterials to load insulin for oral administration and employing anti-apoptotic and anti-inflammatory approaches to mitigate damage to beta cells.
The treatment and prevention of Type 1 diabetes remain largely unknown due to the autoimmune system’s attack on the pancreas and beta cells. Huiwen’s research focuses on nano based drug formulations for Type 1 diabetes treatment due to unknown triggering mechanism of autoimmune system attacking pancreas.
Huiwen Pang’s goal to make his own mark in the field of biomedical health is driven by inspiration from distinguished scholars and their research outcomes. Huiwen is also driven by having meaningful impact on people’s health, inspired by the challenges faced by patients with diabetes, including his own grandfather.
Huiwen enjoys hiking each weekend in Brisbane and the surrounding areas, taking in the mountains and the lakes which give he finds relaxing.
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CASE STUDY: Transforming surgical waitlist into a ‘preparation list’
The DIAMONDS initiative aims to transform the surgical waitlist into a “preparation list,” enabling healthcare professionals to optimise patient care in the months leading up to elective surgery starting at pre-admission phase.
Patients are will be able to complete pre-admission forms online, receive timely updates, and access educational resources to ensure thorough preparation. This will allow staff to spend more time with patients.
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Digital Biomarkers and AI for Optimal Diagnosis, Treatment, and Decision-Making
Associate Professor Johan Verjans is a clinician-scientist with a strong focus on cross-disciplinary translational research. In his role as Deputy Director at the Australian Institute for Machine Learning (AIML)—one of the world’s premier machine learning institutes, with over 200 researchers—and as Group Leader of Artificial Intelligence at the South Australian Health and Medical Research Institute (SAHMRI), he integrates his expertise in molecular medicine, clinical research, and advanced imaging with machine learning applications. This unique combination enables him to drive the translation of cutting-edge AI research into practical medical applications. He works with global teams from multinationals on AI problems.
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Dr Ryan O’Hare Doig
NEIL SACHSE CENTRE FOR SPINAL CORD RESEARCH (SAHMRI)
SOUTH AUSTRALIA
AUSTRALIA
