The Australian Government’s Medical Research Future Fund (MRFF) has awarded AU$7.1 million (about $4.95 million) to support two projects focused on harnessing the power of artificial intelligence (AI) and machine learning to develop new ways of diagnosing and treating multiple sclerosis (MS) and mental health disorders in young people.
“Our researchers are at the forefront of addressing crucial gaps in medical research that lead to better health outcomes,” Duncan Ivison, PhD, a professor and deputy vice chancellor of research at the University of Sydney, said in a press release.
“These projects exemplify our commitment to multidisciplinary research and especially harnessing cutting edge research in artificial intelligence with outstanding neuroscience that when combined together will make an enormous contribution to the future of healthcare,” Ivison added.
One project will focus on how AI can be used in combination with conventional imaging technologies to create more effective methods to diagnose, monitor, and treat MS patients.
This project, called Translating AI Networks to Support Clinical Excellence in Neuro Diseases (TRANSCEND), is part of a collaboration between the University of Sydney, industry specialists in medical imaging, and health provider networks.
TRANSCEND is being led by Michael Barnett, PhD, head of the Computational Neuroscience Team at the Brain and Mind Centre, together with the Sydney Neuroimaging Analysis Centre, and has received a total of AU$4.02 million in funding.
Its goal is to create an AI learning system trained on patient samples, and able to recognize biomarkers of MS progression in common imaging scans.
We are sorry that this post was not useful for you!
Let us improve this post!
Tell us how we can improve this post?