grant

Optimising Outcomes in Chronic Myeloid Leukaemia Through Rational Drug Selection Using Predictive Assay Results and Maximising Treatment Free Remissions [ 2018 - ]

Also known as: 5042151

Research Grant

[Cite as https://purl.org/au-research/grants/nhmrc/GNT1146253]

Researchers: Dr David Yeung (Principal investigator)

Brief description Although outcomes in chronic myeloid leukaemia are generally excellent, a number of important questions remain. In this grant, we propose to i) personalise the selection of frontline treatment for newly diagnosed patients, using biomarkers which can predict treatment response; ii) improve the probability of cure in patients aiming to stop their treatment, and iii) use ultra-sensitive molecular tests for disease detection to predict risk of disease relapse.

Funding Amount $189,384.00

Funding Scheme Early Career Fellowships

Notes Health Professional Research ECF

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Identifiers
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ACN 633 798 857