Computational prediction of treatment outcome by machine learning


In this project we will implement and develop novel machine learning techniques to predict a best treatment plan for a patient.


Dr Matloob Khushi

Research Location

Westmead - Childrens Medical Research Institute

Program Type



Machine learning has been successfully applied to solve many biological problems and undertake drug discovery. In this project we aim to apply the techniques to better predict the treatment plan for patients. The patient data will be collected from disease specific biobanks. There are many data collection biobanks in Australia that collect patients’ clinical history, treatment, and other important data such as age at diagnosis, disease type, hormonal status, life style factors, and pathology test results. These banks also follow up patients for a certain number of years to record the health status and progression of their disease. Existing machine learning classifier algorithms will be evaluated and novel methods will be investigated to predict best possible treatment.

Additional Information

Children's Medical Research Institute (CMRI) is an award-winning state-of-the-art medical research facility, with over 100 full-time scientists dedicated to researching the genes and proteins important for health and human development. The CMRI is supported in part by its key fundraiser Jeans for Genes®. Our scientists are internationally recognised research leaders and foster excellence in postgraduate training. CMRI graduates are highly sought after nationally and internationally.

CMRI is located at Westmead, a major hub for research and medicine in NSW, and is affiliated with the University of Sydney. Easy to access by public transport.

We are looking for top quality students who can prove a dedicated interest and enthusiasm for scientific research.

Candidates may apply for a CMRI PhD Research Award, which exceeds the Australian Postgraduate Awards and NHMRC scholarships in value. Visit the CMRI website for more details.

Honours entry: GPA on track for Honours Class I / IIA
PhD entry: Honours Class I
Suitable for students with an ICT or Engineering background

Want to find out more?

Contact us to find out what’s involved in applying for a PhD. Domestic students and International students

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Machine learning, deep learning, classifier algorithms, treatment prediction

Opportunity ID

The opportunity ID for this research opportunity is: 2093

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