HEALTH & BIOTECH
PROFESSOR GUSTAVO CARNEIRO Lead researcher
technology supporting endometriosis sufferers It’s been called ‘the secret plague’. Endometriosis, the spread of uterus-like tissue elsewhere in the body, is estimated to affect around 200 million women worldwide. Yet, due to difficulty of diagnosis, many suffer chronic, oftensevere pain—particularly during menstruation—unseen. Complicating matters, even those diagnosed can feel reluctant to discuss their condition due to a lingering social stigma. Two new medicaltechnology projects underway at the University of Adelaide, however, offer cause for hope.
In the first, the University’s health and computer science researchers are collaborating to create an alternative, non-invasive form of diagnosis, using machine learning. The technology will avoid the need for surgery, which—although a
14 | in sight
ASSOCIATE PROFESSOR LOUISE HULL Project leader
highly effective diagnosis method—does carry risks and can require a week or more for recovery. “We’ve developed algorithms to detect endometriotic lesions, based on ultrasound imaging scans,” says machine learning lead Professor Gustavo Carneiro. “The preliminary results have been promising and further research will allow for continued AI development to improve accuracy. Once fully developed, the algorithm will give women the answers they need sooner, without surgery, and will enable earlier access to treatment and support.” The second project is the development of an empowering new online platform through which endometriosis sufferers can manage their health. Supported by the Australian Government and Jean Hailes for Women’s Health organisation, and designed in consultation with Australia’s endometriosis community, the platform will enable women to make timely treatment decisions.
“It will be a one-stop shop,” says project leader Associate Professor Louise Hull. “The portal will feature a wide range of research-based tools, resources and information to assist with managing endometriosis, and support patientclinician engagement.”
Importantly, it will incorporate advanced analytics, enabling the platform to ‘learn’ from users and deliver a personalised experience. “Women will be served the content and resources they identify as important to them, when they need it, and we’ll be able to continually optimise the platform. “We’re bridging the gap between research, clinicians, public policy and the endometriosis community.”
Photo: Unsplash, Alex Kalligas
