Precision prediction of maternal and child outcomes from routine fetal ultrasounds
- Research Opportunity
- PhD students
- Department / Centre
- Paediatrics
- Location
- Royal Children’s Hospital/Murdoch Childrens Research Institute
| Primary Supervisor | Number | Webpage | |
|---|---|---|---|
| Prof Melissa Wake | melissa.wake@mcri.edu.au | Personal web page |
| Co-supervisor | Number | Webpage | |
|---|---|---|---|
| A/Prof Joanne Said | jsaid@unimelb.edu.au |
Summary Precision prediction of maternal and child outcomes from routine fetal ultrasounds
Project Details
Prediction of the great obstetric and newborn syndromes remains frustratingly impossible, resulting in avoidable burden to maternal and child health and health care services. Artificial intelligence could transform the predictive value of routine fetal ultrasounds - if a mega-repository existed combining ultrasounds with well-phenotyped outcomes. This PhD will help develop and capitalise on an internationally-unique statewide consented repository of fetal ultrasounds for Victorian babies born 2021-22 and their mothers, working within the 'Generation Victoria' cohort, its linked datasets and digital 'ePhenome'. The landmark GenV offers immense opportunities to establish a career and leadership in the digital transformation of pregnancy and/or childhood health.
Faculty Research Themes
School Research Themes
Research Opportunities
PhD students
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
Key Contact
For further information about this research, please contact a supervisor.
Department / Centre
Research Node
Royal Children’s Hospital/Murdoch Childrens Research InstituteMDHS Research library
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