Using machine learning to improve the characterisation and quantification of fibrotic lung.
- Research Opportunity
- PhD students, Honours students, Master of Biomedical Science
- Number of Honour Places Available
- Number of Master Places Available
|Dr Robert O'Donoghuefirstname.lastname@example.org||Personal web page|
|Prof Gary Andersonemail@example.com|
|Dr Andrew Jarnicki|
Summary Our research is focused on understanding the molecular basis of chronic degenerative lung diseases, in particular severe refractory asthma, Chronic Obstructive Lung Disease (COPD), Asthma-COPD Overlap, the COPD-lung cancer interface and fibrotic lung diseases. We are interested in understanding the reasons why lung disease becomes chronic and resists the normal processes that help resolve tissue damage, as well as why the damaged lung is so susceptible to subsequent infections. Our research also focuses on developing and testing experimental medicines in preclinical models. We work with leading clinicians/researchers at the RMH and internationally to translate our basic findings into useful medicines.
PhD students, Honours students, Master of Biomedical Science
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.
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