This project aims at identifying predictive markers of ex vivo drug sensitivity in Acute Myeloid Leukemia (AML). The successful candidate will investigate the application of machine learning methods to predict which drugs are most effective for a given AML tumour exploiting in-house and public data resources. [More]

Originally posted on 2016-12-19