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

Yoshito Hirata1,2, Kai Morino, Taiji Suzuki3, Qian Guo4, Hiroshi Fukuhara5, Kazuyuki Aihara1,2
1Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan
2Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
3Department of Mathematical and Computing Sciences, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan
4Department of Mathematics, Shanghai Normal University, Shanghai, China
5Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

Tóm tắt

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.

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Tài liệu tham khảo

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