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相关概念视频

Dose-Response Relationship: Overview01:03

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Agonists can bind with and activate receptors, resulting in the formation of drug-receptor complexes. Once formed, these complexes catalyze many biochemical processes at the cellular level and subsequently induce a pharmacologic response. The degree of response is directly proportional to the fraction of activated receptors, which in turn, depends on the concentration of the drug at the receptor site as well as the sensitivity of the receptor. An increase in the administered dose contributes to...
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The potency of a drug is the measure of its ability to produce a biological response and can be compared by looking at the half-maximum effective concentration or EC50 values of different drugs. A lower EC50 value indicates higher potency of the drug. In the dose–response curve of two antihypertensive drugs, candesartan and irbesartan, a significant difference is observed in their EC50 values. A lower EC50 value for candesartan indicates that it is more potent than irbesartan, as it...
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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
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Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
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Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
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The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
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在使用双变量探针模型的剂量定位研究中,针对疗效-毒性反应的最佳设计.

Belmiro P M Duarte1, Anthony C Atkinson2

  • 1Polytechnic Institute of Coimbra, ISEC, Department of Chemical & Biological Engineering, Rua Pedro Nunes, 3030-199 Coimbra, Portugal; University of Coimbra, INESC-Coimbra, Rua Sílvio Lima - Pólo II, 3030-790 Coimbra, Portugal; University of Coimbra, CERES, Department of Chemical Engineering, Rua Sílvio Lima - Pólo II, 3030-790 Coimbra, Portugal.

Computers in biology and medicine
|February 23, 2025
PubMed
概括

本研究介绍了扩展I期临床试验的最佳实验设计,重点关注药物的疗效和毒性. 这些方法使用双变量探头模型和半确定的编程来获得相关的响应.

关键词:
剂量与反应模型.有效性-毒性 - 有效性-毒性K优化性 优化性实验的最佳设计实验的最佳设计.试验模型的试验模型.半确定的编程 半确定的编程

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科学领域:

  • 临床试验的设计
  • 生物统计学 生物统计学
  • 实验设计 实验设计

背景情况:

  • 一期临床试验传统上优先考虑药物安全性和最大耐受剂量的确定.
  • 在I期研究中,有效性评估往往是次要的目标.
  • 扩展的第一阶段试验为同时评估疗效和毒性提供了机会.

研究的目的:

  • 为扩展I期临床试验开发最佳的实验设计.
  • 解决药物的疗效和毒性都被测量和相关的情况.
  • 调查相关性,先验知识,约束和药物组合对设计最佳性的影响.

主要方法:

  • 使用双变量探针模型来表示相关的疗效和毒性反应.
  • 采用半确定的编程来构建局部最佳的实验设计.
  • 考虑了各种场景,包括相关性强度,已知与未知相关性,设计约束以及单一与组合药物.
  • 应用的D,A,E和K最佳性标准.

主要成果:

  • 在扩展的第一阶段试验中开发了系统的数值方法,以实现最佳的实验设计.
  • 使用等价定理证明了拟议设计的最佳性.
  • 专门为K-最佳性标准推导了一个等价定理.
  • 展示了该方法在各种设计考虑中的适应性.

结论:

  • 拟议的基于半定义编程的方法提供了一个强大的框架,用于优化扩展的I期临床试验中的实验设计.
  • 这些发现为在药物开发早期阶段平衡疗效和安全性评估提供了实际见解.
  • 开发的设计可以适应各种相关结构,约束和药物组合,提高试验效率.