Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Dosage Regimens: Designs and Approaches01:28

Dosage Regimens: Designs and Approaches

248
Designing a dosage regimen, which refers to the manner of drug administration, is a complex process involving the selection of drug dose, route, and frequency. This process is underpinned by pharmacokinetic parameters derived from tests and population averages. These parameters are then tailored to patient-specific variables such as diagnosis, demographics, and allergy status. Once therapy commences, therapeutic response monitoring is critical and achieved through clinical and physical...
248
Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

Determination of Multiple Dosing Parameters: Loading and Maintenance Doses

211
A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
211
Dosage Regimen: Individualization01:24

Dosage Regimen: Individualization

160
Individualization in dosing regimens is the customization of medication doses for individual patients. Its necessity arises from the goal of maximizing therapeutic benefits while minimizing risks. This approach is pivotal because human responses to drugs can vary widely; what is effective for one person may be inadequate or excessive for another. Interpatient (intersubject) variability refers to differences in drug responses between individuals, while intrapatient (intrasubject) variability...
160
Dosage Regimen Designs: Nomograms and Tabulations01:23

Dosage Regimen Designs: Nomograms and Tabulations

166
Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
166
Dosage Regimens: Partial Pharmacokinetic Parameters01:01

Dosage Regimens: Partial Pharmacokinetic Parameters

141
It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
141
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

1.7K
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
1.7K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Clinician and Patient Perspectives on a Patient-Facing Online Breast Cancer Symptom Visualization Tool.

JCO clinical cancer informatics·2025
Same author

PEARL: A Phase Ib/II Biomarker Study of Adding Radiation Therapy to Pembrolizumab Before Neoadjuvant Chemotherapy in Human Epidermal Growth Factor Receptor 2-Negative Breast Cancer.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2024
Same author

Dose Finding in Oncology Trials Guided by Ordinal Toxicity Grades Using Continuous Dose Levels.

Entropy (Basel, Switzerland)·2024
Same author

Visualizing hypothesis tests in survival analysis under anticipated delayed effects.

Pharmaceutical statistics·2024
Same author

High-resolution Diffusion-weighted Imaging to Detect Changes in Tumor Size and ADC, and Predict Adverse Biopsy Histology during Prostate Cancer Active Surveillance.

Cancer research communications·2024
Same author

Modeling synergism in early phase cancer trials with drug combination with continuous dose levels: is there an added value?

Brazilian journal of biometrics·2024

相关实验视频

Updated: Jan 11, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

20.9K

一个贝叶斯式设计,用于双剂剂量优化与向治疗.

José L Jiménez1, Mourad Tighiouart2

  • 1Quantitative Safety and Epidemiology, Novartis Pharma A.G., Basel, Switzerland.

Journal of biopharmaceutical statistics
|November 17, 2025
PubMed
概括

这项研究引入了一种新的两阶段适应性设计,用于结合向癌症治疗. 该方法通过平衡治疗风险和益处,有效地确定最佳剂量组合,改进了药物开发的现有算法.

科学领域:

  • 临床试验的设计
  • 药理学 药理学是指药理学的学科.
  • 生物统计学 生物统计学

背景情况:

  • 组合疗法,如MEK和PIK3CA抑制剂,在剂量选择方面存在挑战.
  • 更高的剂量并不总是与在向治疗中提高疗效相关.
  • 优化风险与益处的概况对于有效的治疗策略至关重要.

研究的目的:

  • 为分子向疗法组合提出一种新的两阶段I-II阶段适应性临床试验设计.
  • 确定最优的剂量组合,以实现理想的风险-收益权衡.
  • 提高瘤学中剂量确定研究的安全性和效率.

主要方法:

  • 一个两阶段的设计,包括在第一阶段与过量控制 (EWOC) 的升级.
  • 根据不断更新的模型参数,在II阶段进行自适应性随机化.
  • 使用灵活的立方线模型来表示疗效反应分布.

主要成果:

  • 与现有的算法相比,拟议设计在模拟中显示出更高的安全性和效率.
  • 该设计有效地识别了针对性治疗方案的最佳剂量组合.
  • 在各种场景中评估了性能,包括样本大小变化和模型错误规范.
关键词:
贝叶斯的I-II阶段设计.剂量优化剂量优化药物组合是药物组合.瘤学 在瘤学方面.有针对性的治疗方法.

更多相关视频

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

572
Pretargeted Radioimmunotherapy Based on the Inverse Electron Demand Diels-Alder Reaction
09:44

Pretargeted Radioimmunotherapy Based on the Inverse Electron Demand Diels-Alder Reaction

Published on: January 29, 2019

10.5K

相关实验视频

Last Updated: Jan 11, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

20.9K
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

572
Pretargeted Radioimmunotherapy Based on the Inverse Electron Demand Diels-Alder Reaction
09:44

Pretargeted Radioimmunotherapy Based on the Inverse Electron Demand Diels-Alder Reaction

Published on: January 29, 2019

10.5K

结论:

  • 新的自适应设计为在向治疗试验中确定最佳剂量组合提供了更安全,更有效的方法.
  • 这种方法有助于在复杂的药物开发环境中更好地评估风险和益处.
  • 该设计是稳固的,可以适应不同的临床试验参数和建模假设.