Can Decision Analytic Modelling Promote Clinical Translation Of Personalised Medicine Markers For Oncology Drugs?
Funder
National Health and Medical Research Council
Funding Amount
$69,893.00
Summary
Personalised medicine is an approach that has great potential to improve healthcare. There has been limited success to date, however, in utilising proposed tests in the clinical. It is proposed that use of mathematical models early in the development of personalised medicine tests will allow early understanding of the value that the test will have for patients and society. Such insight will help build a strong case to undertake the research required before personalised medicine can be more widel ....Personalised medicine is an approach that has great potential to improve healthcare. There has been limited success to date, however, in utilising proposed tests in the clinical. It is proposed that use of mathematical models early in the development of personalised medicine tests will allow early understanding of the value that the test will have for patients and society. Such insight will help build a strong case to undertake the research required before personalised medicine can be more widely used to improve treatment for cancer.Read moreRead less
Individualising Care For Patients With Chronic Hepatitis C: Predicting Side Effects And Treatment Response Using Genomic And Proteomic Approaches.
Funder
National Health and Medical Research Council
Funding Amount
$55,575.00
Summary
Patients undergoing treatment for hepatitis C must endure a treatment characterized by unpredictable treatment side effects and uncertainty about the likelihood of cure. This project will investigate genetic predictors of treatment related side-effects and protein markers to predict treatment response. Better definition of the risks and benefits of therapy, may facilitate patients and clinicians to make more informed decisions about treatment, thus individualising treatment and potentially impro ....Patients undergoing treatment for hepatitis C must endure a treatment characterized by unpredictable treatment side effects and uncertainty about the likelihood of cure. This project will investigate genetic predictors of treatment related side-effects and protein markers to predict treatment response. Better definition of the risks and benefits of therapy, may facilitate patients and clinicians to make more informed decisions about treatment, thus individualising treatment and potentially improving the safety and efficacy of therapy.Read moreRead less
Rapid point-of-care detection of genomic variations for personalised medicine. Selecting treatment based on a person’s genetic profile can improve drug safety and efficacy, but the application is hampered by the inconvenience, slow result turnaround and high cost of current lab-based tests. Full implementation of personalised medicine in clinical practice requires a point-of-care testing system. This project aims to overcome the challenges involved in developing such a system by validating novel ....Rapid point-of-care detection of genomic variations for personalised medicine. Selecting treatment based on a person’s genetic profile can improve drug safety and efficacy, but the application is hampered by the inconvenience, slow result turnaround and high cost of current lab-based tests. Full implementation of personalised medicine in clinical practice requires a point-of-care testing system. This project aims to overcome the challenges involved in developing such a system by validating novel rapid genotyping methods and developing ultrasensitive real-time DNA detection that will be integrated on a single chip platform to facilitate a small, low cost and reliable test device. The technology will be readily adaptable to areas where prompt access to genomic information is valuable, such as disease diagnosis and risk prediction.Read moreRead less