Biosensor Based Clinical-decision Support For Patients With Heart Failure
Funder
National Health and Medical Research Council
Funding Amount
$691,933.00
Summary
Heart Failure (HF) is a progressive disease and a major global public health concern. HF accounts for a substantial number of hospitalisations, major healthcare resource utilisation and costs. We aim to engineer biosensor platform to stratify the risk in HF patients will revolutionise current management of HF by providing the cardiologist information to risk stratify patients based on protein signature. This will lead to a substantial paradigm shift in clinical practice.
DEEP LEARNING AND PHYSIOLOGY BASED APPROACH TO DERIVE AND LINK OBSTRUCTIVE SLEEP APNOEA PHENOTYPES AND SYMPTOMATOLOGY
Funder
National Health and Medical Research Council
Funding Amount
$402,978.00
Summary
Obstructive sleep apnoea (OSA) is a highly prevalent nocturnal breathing disorder strongly related to daytime sleepiness, accident risk and reduced quality of life. However, the current severity index, the apnoea-hypopnoea index, poorly predicts daytime sleepiness and vigilance. In this project we elegantly combine physiological insight and artificial intelligence to develop and evaluate novel clinically applicable computational tools for detailed quantification of OSA severity and its symptoms.