Open AccessSystem identification and parameter estimation in mathematical medicine: examples demonstrated for prostate cancer
Author(s) -
Hirata Yoshito,
Morino Kai,
Suzuki Taiji,
Guo Qian,
Fukuhara Hiroshi,
Aihara Kazuyuki
Publication year - 2016
Publication title -
quantitative biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.707
H-Index - 15
eISSN - 2095-4697
pISSN - 2095-4689
DOI - 10.1007/s40484-016-0059-0
Subject(s) - prostate cancer , identification (biology) , medicine , estimation , cancer , computer science , personalized medicine , bioinformatics , biology , botany , management , economics
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.