Information Based Medicine

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:

  • Improvements in image analysis software for use in pathological practise
  • Identification of genetic risk factors contributing to individual susceptibility to brain, breast, colon and prostate cancer
  • Identification of biological markers that can predict clinical symptoms of Alzheimer’s disease
  • Investigations into the biology of breast cancer development, subtypes and drug susceptibility
  • Identification of subtypes of brain cancer and potential molecular targets for network pharmacology interventions
  • Research into the genetic, epigenetic and environmental contributions to the development of MS
  • Identification of genetic susceptibility to infection within indigenous populations and also elite athletes
  • Investigations into the role of DNA repair in chemoresistance seen within ovarian cancer and melanoma patients
  • 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.

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:

Program LeadersProfessor Rodney Scott and Professor Pablo Moscato, The University of Newcastle

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