title: Use of real time leukaemia data to validate model predictions based on analyses and computer simulations.
abstract: Predictions arising out of a mathematical model that describes the expansion of leukaemia from a diffusion-orientated perspective are critiqued and validated by employing available real time data. Based on agreements found between model predictions and the data, but mindful of the limitations it presents, it is concluded that the model could be used to describe the dynamics of normal and abnormal cells in leukaemia. It is suggested that further studies of the behaviour of certain normal cell types in contrast to abnormal cells during leukaemic development could engender additional insights into leukaemia and its treatment.
authors.affiliation: Department of Mathematics, Elmhurst College, Elmhurst, IL 60126, USA. eafenya@mediaone.net
authors.forename: E K
authors.initials: EK
authors.lastname: Afenya
mesh_terms: D016923:Cell Death; D002465:Cell Movement; D003198:Computer Simulation; D006801:Humans; D007938:Leukemia / Q000453:epidemiology* / Q000473:pathology*; D015470:Leukemia, Myeloid, Acute / Q000473:pathology; D008962:Models, Theoretical; D009504:Neutrophils / Q000473:pathology; D013997:Time Factors; D014407:Tumor Cells, Cultured