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With major research interests spanning multiple health conditions, from autoimmune diseases to breast cancer, the Program draws together the disciplines of pathology, genetics, epidemiology, computer science and mathematics. By embracing the interdisciplinary nature of the challenge that is personalised medicine, this diverse team of researchers are paving the way for an increasingly patient-tailored approach to healthcare.
In this modern era of “big data”, enormous amounts of data can be generated over a relatively short space of time. In the context of healthcare, these massive advances in technology can facilitate improvements in the development of personalised treatments and outcomes. However, it is only with appropriate analytical methods that the relevant information can be identified and put to good use.
Researchers within this Program work together, in order to extract information from complex datasets and improve analytical techniques. This information can then be used predict disease risk and improve therapies at the patient specific level, and also investigate mechanisms of disease development at the biological level.
The development of mathematical models based on information theory, optimization and statistics has the potential to inform a huge variety of studies, as such models can assist with the identification of markers for health and disease.
Studies such as these, and others, currently being conducted by the Information Based Medicine Program, include:
The Information Based Medicine Program has many members who are affiliated with the University’s Priority Research Centre in Bioinformatics, Biomarker Discovery and Information-Based Medicine, and also incorporates: