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

• Published in: Quantitative biology Vol. 4; no. 1; pp. 13 - 19
• Main Authors: Hirata, Yoshito, Morino, Kai, Suzuki, Taiji, Guo, Qian, Fukuhara, Hiroshi, Aihara, Kazuyuki
• Format: Journal Article
• Language: English
• Published: Beijing Higher Education Press 01.03.2016; Higher Education Press and Springer‐Verlag Berlin Heidelberg; John Wiley & Sons, Inc
• Subjects: Bioinformatics; Biomedical and Life Sciences; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; dynamical model; Life Sciences; Mathematical and Computational Biology; mathematical medicine; Mathematical models; Parameter estimation; Precision medicine; Prostate cancer; Review; parameter estimation; mathematical medicine; dynamical model
• ISSN: 2095-4689; 2095-4697
• DOI: 10.1007/s40484-016-0059-0

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.