Mathematical and Statistical Modelling of Acute Leukemias

A special issue of Biology (ISSN 2079-7737).

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 369

Special Issue Editor


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Guest Editor
Institute of Biostatistics and Clinical Research, University of Münster, Schmed-dingstrasse 56, 48149 Münster, Germany
Interests: biostatistics; prediction models; clinical trials; oncology; acute myeloid leukemia; long-term survivorship; systems biology
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Special Issue Information

Dear colleagues,

I cordially invite you to submit your current research in mathematical and statistical modelling of acute leukemias to this Special Issue.

Acute Leukemias are a prime example for mathematical and statistical modelling for several reasons. The underlying mechanisms leading to the typical signs, symptoms, and patient outcomes are known to, at least, a sufficient extent. This allows us to not only apply statistical models (as a general modelling approach), but also to include the mechanisms into the mathematical model formulation. Furthermore, clinical, molecular, and genetic patient data, usually collected within patient registries, clinical trials, and biobanks, is available. Modelling approaches thus can be validated against this data. This is the main prerequisite for a translation of models into the clinical practice. The ultimate goal should be to apply these models for a patient’s benefit.

Within this Special Issue on acute leukemia modelling I would especially like to invite original research and review papers that illustrate and present results based on biological and clinical data in combination with mathematical and statistical modelling approaches.

Topics covered by this Special Issue are

  • Systems biology of acute leukemias during different phases of the disease (pre-leukemic, onset and diagnosis, during treatment, maintenance of complete remission, or relapse);
  • Dynamic models of acute leukemias (e.g. differential equation models);
  • Machine learning in leukemia research;
  • Multiscale modelling approaches;
  • Application of published models on patient data;
  • Model-based evaluation of treatment approaches;
  • Development and evaluation of prediction models and scoring tools.

This Special Issue is also open for related research not listed here. Additionally, if you have a perspective or hypothesis paper that fits these topics please feel free to submit your manuscript for consideration.

With kind regards,

Dr. Dennis Görlich
Guest Editor

Manuscript Submission Information

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Keywords

  • acute leukemias
  • mechanistic mathematical models
  • statistical models
  • systems biology
  • systems medicine
  • advanced data analysis

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Published Papers

There is no accepted submissions to this special issue at this moment.
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