System identification and parameter estimation in mathematical medicine: examples demonstrated for prostate cancer

Yoshito Hirata, Kai Morino, Taiji Suzuki, Qian Guo, Hiroshi Fukuhara, Kazuyuki Aihara

Research output: Contribution to journalReview article

1 Citation (Scopus)

Abstract

We review our studies on how to identify the most appropriate models of diseases, and how to determine their parameters in a quantitative manner given a short time series of biomarkers, using intermittent androgen deprivation therapy of prostate cancer as an example. Recently, it has become possible to estimate the specific parameters of individual patients within a reasonable time by employing the information concerning other previous patients as a prior.We discuss the importance of using multiple mathematical methods simultaneously to achieve a solid diagnosis and prognosis in the future practice of personalized medicine.

Original languageEnglish
Pages (from-to)13-19
Number of pages7
JournalQuantitative Biology
Volume4
Issue number1
DOIs
Publication statusPublished - Mar 1 2016
Externally publishedYes

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All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computer Science Applications
  • Applied Mathematics

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