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.
A Practice Change For Patients With Severe Chronic, Clinically Unexplained Gastrointestinal Symptoms: A Randomised, Controlled Intervention To Assess Efficacy And Cost-effectiveness
Funder
National Health and Medical Research Council
Funding Amount
$1,276,080.00
Summary
Unexplained chronic gastrointestinal symptoms are extremely common and costly to the health system. Currently patients are managed in the hospital setting with the 'typical' face-to-face office-based model which sees the clinician spending valuable time gathering information and often treatments (e.g. allied health) delivered in a non-standard way. This project will evaluate the effectiveness of a new standard best-practice clinical model with a structured technology enabled management approach.