基于模型的药物开发对药物开发周期和临床试验成本的影响。

IF 6.3 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Vaishali Sahasrabudhe, Timothy Nicholas, Gianluca Nucci, Cynthia J Musante, Brian Corrigan
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引用次数: 0

摘要

基于模型的药物开发(MIDD)集成数据来量化收益/风险,为客观的药物发现和开发决策提供信息。MIDD的另一个重要好处是可以提高试验和程序的效率。虽然MIDD的应用已经发展起来,但是还没有跨项目的清晰例子来证明它在投资组合级别的价值。本文提供了一种方法和示例来演示MIDD在时间和成本节约方面的价值。在2021年至2023年的典型年份里,我们利用一种算法来估计整个药物开发组合中每个开发阶段与midd相关的活动所节省的费用。这种算法虽然是针对公司的,但在投资组合的几个项目中都具有普遍的适用性。总体而言,使用MIDD每年平均节省约10个月的周期时间,每个项目节省500万美元。除了为数据驱动的决策提供信息外,MIDD方法的系统应用还在整个药物开发组合中节省了大量时间和成本。增加MIDD方法的利用是提高药物开发效率的驱动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Model-Informed Drug Development on Drug Development Cycle Times and Clinical Trial Cost.

Model-informed drug development (MIDD) integrates data to quantify benefit/risk informing objective drug discovery and development decisions. An additional critical benefit of MIDD is postulated to be improvement in trial and program efficiencies. While the application of MIDD has grown, there have been no clear examples across programs to demonstrate its value at the portfolio level. This manuscript offers a methodology and examples to demonstrate MIDD value in terms of time and cost savings. We utilized an algorithm to estimate savings based on MIDD-related activities at each stage of development across the entire drug development portfolio during a typical year between 2021 and 2023. This algorithm, although company-specific, demonstrated general applicability across several programs of the portfolio. Overall, the use of MIDD yielded annualized average savings of approximately 10 months of cycle time and $5 million per program. Systematic application of MIDD approaches yielded significant time and cost savings across the drug development portfolio in addition to informing data-driven decisions. Increased utilization of MIDD approaches is a driver for improving drug development efficiency.

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来源期刊
CiteScore
12.70
自引率
7.50%
发文量
290
审稿时长
2 months
期刊介绍: Clinical Pharmacology & Therapeutics (CPT) is the authoritative cross-disciplinary journal in experimental and clinical medicine devoted to publishing advances in the nature, action, efficacy, and evaluation of therapeutics. CPT welcomes original Articles in the emerging areas of translational, predictive and personalized medicine; new therapeutic modalities including gene and cell therapies; pharmacogenomics, proteomics and metabolomics; bioinformation and applied systems biology complementing areas of pharmacokinetics and pharmacodynamics, human investigation and clinical trials, pharmacovigilence, pharmacoepidemiology, pharmacometrics, and population pharmacology.
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