Research that shapes the future
The University of Adelaide is continuing to focus its research investment on areas which are relevant to our communities and society, and where it has the opportunity to make a real difference.
Philanthropic gifts towards each of these areas are needed to support our researchers in finding new solutions to address these important challenges.
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Your support of research is invaluable and will revolutionise the research we are able to undertake, enrich our culture of research excellence and lead the way to greater global sustainability and human wellbeing.
Three key priorities our researchers are currently focused on include creating sustainable green energy for South Australia and the world through producing hydrogen from seawater; developing technology that will personalise treatments and help prevent recurrent heart attacks; and harnessing machine learning and artificial intelligence for the one in nine Australian women diagnosed with endometriosis each year.
The University is currently focused on creating sustainable green energy for South Australia and beyond through the production of hydrogen from seawater.
This innovative research will provide a new route to low-cost and clean energy that is efficient, safe, highly-stable and can be utilised by any nation that has access to seawater, and already uses it in an ecologically-sound manner. It also creates another possible clean energy pathway for sustainable production of hydrogen.
One Australian has a heart attack or stroke every four minutes. University of Adelaide researchers have developed the world’s smallest and highest resolution lens to identify the type of plaque (stable or high-risk) present in the heart. Through future research, patients will benefit from personalised treatment to prevent recurrent heart attacks, and be given a better understanding of how a plaque becomes high-risk.
By the age of 44, one in nine Australian women are diagnosed with endometriosis, which caused 34,000 hospitalisations in 2016/17.
A condition which usually requires surgery, research being undertaken by the University uses machine learning (an application of artificial intelligence) for the automatic digital combination of the diagnostic capabilities of pelvic scans and magnetic resonance imaging to identify endometriosis lesions.
You can make a gift online to support our critical research shaping the future or by getting in touch with our Advancement team on +61 8 8313 5800 or firstname.lastname@example.org