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Digital Health Projects

The Curtin Institute for Data Science is supporting partners from academia, industry, and government across various sectors such as, health sciences, astronomy, agriculture and aquaculture, manufacturing, transport with their data science, software development, and computational needs.

At present, the Institute would typically contribute to 30-40 research projects per annum, working with over 50 external organisations.

ARC Centre of Excellence for the Digital Child, Curtin’s School of Allied Health, Curtin’s School of Electrical Engineering, Computing and Mathematical Sciences

Digital Child CRC

The increasing use of digital technology by young children raised concerns about its impact on their physical, social and psychological well-being, particularly in relation to posture and movement. The Digital Child Project addresses these challenges by using machine learning and sensor technologies to create a tool that captures detailed behavioural data, enabling research into digital technology’s effect on child development.

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Curtin Faculty of Health Sciences; The Digital Health CRC; WA Dept of Health; WA Country Health Services; La Trobe University; WA Primary Health Alliance

Improving outcomes for chronic kidney disease (CKD)

Chronic kidney disease (CKD), a condition characterised by the gradual loss of kidney function, is a major global health problem. CKD affects approximately 1 in 10 adults. This project is using a ground-breaking Privacy Preserving Record Linkage (PPRL) technique developed by Curtin University researchers to create a linked data resource of pathology and secondary healthcare data.

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Curtin enAble Institute

MONTI – Conversational Therapeutic Agent (Mental Wellbeing)

In Western Australia and beyond, young people frequently encounter substantial barriers when seeking mental health assistance. Long waiting lists for professional services, societal stigma surrounding mental health issues, fears of personal disclosure and competing priorities such as school, work or daily responsibilities often delay or prevent timely intervention. MONTI was developed to address these challenges. It is a conversational therapeutic agent that uses rule-based artificial intelligence and the Method of Levels (MOL) therapy framework to ask curious, therapy-informed questions, helping users explore their problems from new perspectives, reduce stress and work toward problem resolution.

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