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2014 Fiscal Year Final Research Report

Full-automatic PopPK modeling utilizing an evolutionary algorithm

Research Project

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Project/Area Number 25670073
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Medical pharmacy
Research InstitutionKyoto University

Principal Investigator

YAMASHITA Fumiyoshi  京都大学, 薬学研究科(研究院), 准教授 (30243041)

Co-Investigator(Renkei-kenkyūsha) YANO Ikuko  京都大学, 薬学研究科, 准教授 (50273446)
AMANO Akira  立命館大学, 生命科学部, 教授 (60252491)
Project Period (FY) 2013-04-01 – 2015-03-31
Keywords母集団薬物動態解析 / 共変量モデル / 遺伝的アルゴリズム / 遺伝的数式プログラミング / 個体間変動 / 拡張最小二乗法
Outline of Final Research Achievements

A population pharmacokinetic model is composed of average pharmacokinetic parameters, their inter- and intra-individual variabilities. In order to predict blood concentration profile of a drug in each individual, we have to develop an accurate covariate model that represents quantitative relationship between pharmacokinetic parameters and patient information. However, it is a labor-intensive process because there are too many possibilities comprising covariate candidates. In the present study a full-automatic system for covariate modeling was developed, that utilizes an algorithm of evolving mathematical formulae on computers.

Free Research Field

薬物動態学

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Published: 2016-09-02  

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