sci-news.jpeg

sci-news

shimin.jpeg

shimin

eppharmaline.gif

eppharmaline

findat.jpeg

findat

yakuzemi.png

yakuzemi

new-lifescience.gif

new-lifescience

biopharmaceuticals.gif

biopharmaceuticals

jssx36.png

jssx36

convention.jpeg

convention

jshp2022-thk.png

jshp2022-thk

jasdi24.png

jasdi24

General information

Announcements(0)

Greetings from Chair

Overview

Registration

General information 2

Abstract Submission (Oral/Poster Presentation)

Program

Sessions

Search presentations

pharm142_en.png

Change account information such as the email address and password on the account setting screen common to Confit.

Login required to view

Password required to view

Presentation Information

Session Details

A password that applicants have been notified of is required to view abstracts.<br>If you are a participant and need to confirm the password, please contact us by e-mail about which annual meeting you would like to know the password for to view abstracts.<br>We will reply after confirming that you were a participant.<br>Thank you for your understanding.

To browse or post comments, you must log in.

You cannot post comments as it is outside the comment posting period.

This comment has been deleted. You cannot reply to this comment.

Program Type

Announcements

Profile management

Bookmark

Download PDF for print

Timetable

Model-based meta-analysis of changes in circulatory system physiology in patients with chronic heart failure

Pharmacometrics was born with the goal of improving the efficiency of new drug development by integrating and quantitatively considering all available information in a rational manner. It includes PK/PD, PB-PK, and PPK technologies, but it also applies QSP and models without drug concentration and the latest machine learning concepts. The integration with drug development strategies, such as MIDD and MID3, is often discussed. In addition to the drug development field, pharmacometrics is also being applied to optimize patient outcomes by organizing information in the medical field where a lot of information is complicated. In addition to the MBMA, which collects a wide range of information from the literature, the diversity of the information used is also expanding, including the use of individual clinical trial information disclosure systems and real-world clinical data. In this symposium, we will introduce some examples of such efforts, such as modeling of cardiac loads and relationship between drug therapy and exercise therapy in chronic heart failure, prediction of fetal drug exposure, and precise analysis of TDM information collected in clinical practice. We will discuss how these analyses can contribute to new drug development strategies and advances in patient care.

Precision medicine promoted by pharmacometrics analysis

The 142nd Annual Meeting of the Pharmaceutical Society of Japan (Nagoya)

Presentation Information

[S04-1]Model-based meta-analysis of changes in circulatory system physiology in patients with chronic heart failure

Password required to view