TUCUXI-Core: An Open Source generic and efficient computing engine for Model-Informed Precision Dosing

IF 3.4 Q2 Health Professions
Smart Health Pub Date : 2025-12-01 Epub Date: 2025-08-05 DOI:10.1016/j.smhl.2025.100600
Yann Thoma , Thierry Buclin
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引用次数: 0

Abstract

The absorption, distribution, metabolism, and excretion of drugs vary from one individual to another. As a result, drug concentration profiles in the blood do not evolve in the same way throughout the population. Measuring drug concentrations and individualizing drug dosages therefore makes it possible to respond to the specific needs of patients, so that their circulating exposure to the drug reaches targets that are both effective in achieving treatment objectives and safe regarding potential toxicity.
In this context, software tools can usefully assist prescribers in the process of adjusting drug dosages based on the therapeutic monitoring of blood concentrations, which is increasingly available in clinical laboratories. Bayesian adaptation based on prior population pharmacokinetic knowledge is the gold standard strategy for this. This article presents the core computing engine of TUCUXI, a software package that aims to support clinicians in this activity through a user-friendly graphical interface. We describe its main features and architecture, providing a general overview of this open-source project.
TUCUXI-Core:一个开源的通用和高效的计算引擎,用于模型信息精确计量
药物的吸收、分布、代谢和排泄因人而异。因此,在整个人群中,血液中的药物浓度曲线不会以相同的方式演变。因此,测量药物浓度和个体化药物剂量可以满足患者的特定需求,从而使他们的药物循环暴露达到既能有效实现治疗目标又能在潜在毒性方面安全的目标。在这种情况下,软件工具可以有效地帮助处方者在调整药物剂量的过程中,基于治疗监测的血液浓度,这是越来越多的临床实验室可用。基于先前群体药代动力学知识的贝叶斯适应是这方面的黄金标准策略。本文介绍了TUCUXI的核心计算引擎,这是一个软件包,旨在通过用户友好的图形界面支持临床医生进行这项活动。我们描述了它的主要特性和架构,提供了这个开源项目的总体概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Smart Health
Smart Health Computer Science-Computer Science Applications
CiteScore
6.50
自引率
0.00%
发文量
81
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