Machine learning prediction of brain and body ageing
- Research Opportunity
- PhD students, Masters by Research, Post Doctor Researchers
- Department / Centre
- Royal Melbourne Hospital
|Associate Professor Andrew Zaleskyfirstname.lastname@example.org||+61390357747||Personal web page|
|Dr Ye Tianemail@example.com||Personal web page|
|Dr Vanessa Cropleyfirstname.lastname@example.org|
Summary Your brain and other organs may be older (or younger) than your chronological age! Why?
divAging is a progressive, generalized deterioration and loss-of-function across multiple organ systems. When you age by a year, your body and certain organs may show signs of ageing that appear greater (or less than) what would be considered normal for a year, as determined relative to population norms. The apparent age of your brain is referred to as your brain age and can vary markedly from your chronological age.divdivbrdivdivCritically, organ systems age much faster in some individuals compared to others and advanced biological ageing is associated with increased risk of many age-related body and brain disorders such as cancer, coronary artery diseases and dementia and therefore, decreased life expectancy.divdivbrdivdivThis project aims to develop cutting-edge machine learning models to predict the age of an individual's brain and other organ systems. Individuals participating in the UK Biobank (n>30,000) will be used to establish population norms and train the model.divdivbrdivdivThe project also aims to investigate the extent to which environmental factors can modify the pre-determined genetic impact on ageing and whether interactions between genetic and environmental effects on ageing act differently across different organ systems.divdivbrdivdivCheck out our lab website for further details: www.sysneuro.orgdiv
Faculty Research Themes
School Research Themes
PhD students, Masters by Research, Post Doctor Researchers
Students who are interested in joining this project will need to consider their elegibility as well as other requirements before contacting the supervisor of this research
For further information about this research, please contact a supervisor.
Department / Centre
Research NodeRoyal Melbourne Hospital
MDHS Research library
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