Cell population data-driven acute promyelocytic leukaemia flagging through artificial neural network predictive modelling.

A targeted and timely offered treatment can be of benefit for patients with acute promyelocytic leukaemia (APML). The current study made use of potential morphological and immature fraction related parameters (cell population data) generated during complete blood cell (CBC) counting, through