Literature DB >> 11736998

Use of real time leukaemia data to validate model predictions based on analyses and computer simulations.

E K Afenya1.   

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.

Entities:  

Mesh:

Year:  2001        PMID: 11736998      PMCID: PMC6496130          DOI: 10.1046/j.1365-2184.2001.00218.x

Source DB:  PubMed          Journal:  Cell Prolif        ISSN: 0960-7722            Impact factor:   6.831


  6 in total

1.  Quantifying leukemia.

Authors:  A Morley
Journal:  N Engl J Med       Date:  1998-08-27       Impact factor: 91.245

2.  Normal cell decline and inhibition in acute leukemia: a biomathematical modeling approach.

Authors:  E K Afenya; C P Calderón
Journal:  Cancer Detect Prev       Date:  1996

3.  Diverse ideas on the growth kinetics of disseminated cancer cells.

Authors:  E K Afenya; C P Calderón
Journal:  Bull Math Biol       Date:  2000-05       Impact factor: 1.758

Review 4.  Acute leukemia and chemotherapy: a modeling viewpoint.

Authors:  E Afenya
Journal:  Math Biosci       Date:  1996-12       Impact factor: 2.144

5.  A proposal for a new direction to treat cancer.

Authors:  S Rose
Journal:  J Theor Biol       Date:  1998-11-07       Impact factor: 2.691

6.  Some perspectives on modeling leukemia.

Authors:  E K Afenya; D E Bentil
Journal:  Math Biosci       Date:  1998-06-15       Impact factor: 2.144

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.