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Revolution Of Sleep Diagnostics And Personalized Health Care Based On Digital Diagnostics And Therapeutics With Health Data Integration
Funder
National Health and Medical Research Council
Funding Amount
$500,000.00
Summary
Almost 1 billion people suffer from sleep apnoea. Unfortunately, the current diagnostic metric relates poorly to the symptoms and comorbidities of sleep apnoea merely measuring the frequency of breathing cessations. We aim to develop machine learning techniques to better estimate sleep apnoea severity. These techniques are implemented to high-end wearables developed in this project. Finally, we aim to design a digital diagnostic platform and create new standardised guidelines for sleep medicine.
COmBining Memantine And Cholinesterase Inhibitors In Lewy Body Dementia Treatment Trial (COBALT)
Funder
National Health and Medical Research Council
Funding Amount
$1,218,120.00
Summary
Many people who have been diagnosed with dementia with Lewy bodies or Parkinson’s disease dementia will be prescribed drugs known as acetylcholinesterase inhibitors (e.g. donepezil, rivastigmine, galantamine) to help with their symptoms. This research trial, known as COBALT, is designed to find out whether there is any benefit from taking the drug memantine as well. Australian and UK researchers are collaborating on this trial which will recruit eligible participants from both countries.
GloBal RetinAl Imaging CoNSorTium FOR AzheiMer's Disease (BRAINSTORM)
Funder
National Health and Medical Research Council
Funding Amount
$393,099.00
Summary
The retina of the eye displays features of Alzheimer's disease (AD). We have developed a new way to take photos of the eye with a rainbow-coloured flash to detect signs of AD. We now want to test how this and other eye imaging methods compare with brain scans and spinal fluid tests to identify people who are at risk of AD. We will use clinical studies, artificial intelligence, mouse models of AD and donated human tissues to achieve our aims. Our goal is to improve AD detection and care.
E-DADS: Early Detection Of Alzheimer’s Disease Subtypes
Funder
National Health and Medical Research Council
Funding Amount
$488,725.00
Summary
Alzheimer's disease manifests differently in different people. Some people may get the disease at younger ages or they may progress in the disease much faster than others. This grant aims to use large amounts of data from around the world to understand why these differences exist. This knowledge will be converted into a tool where data from a specific individual can be used to forecast if and when they will get the disease and how fast that disease will progress and how it could be prevented.