Sahasrabudhe Vaishali, Nicholas Timothy, Nucci Gianluca, Musante Cynthia J, Corrigan Brian
Pfizer, Inc., Groton, Connecticut, USA.
Pfizer, Inc., Cambridge, Massachusetts, USA.
Clin Pharmacol Ther. 2025 Aug;118(2):378-385. doi: 10.1002/cpt.3636. Epub 2025 Mar 26.
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.
模型引导药物研发(MIDD)整合数据以量化获益/风险,为药物发现和开发决策提供依据。MIDD的另一个关键益处据推测是提高试验和项目效率。虽然MIDD的应用有所增加,但在各个项目中尚无明确实例能在组合层面证明其价值。本文提供了一种方法和实例,以在节省时间和成本方面展示MIDD的价值。我们利用一种算法,根据2021年至2023年期间典型年份整个药物研发组合中每个开发阶段与MIDD相关的活动来估算节省情况。该算法虽因公司而异,但在组合的多个项目中显示出普遍适用性。总体而言,使用MIDD每年平均每个项目可节省约10个月的周期时间和500万美元。除了为数据驱动的决策提供依据外,系统应用MIDD方法还能在整个药物研发组合中显著节省时间和成本。增加MIDD方法的使用是提高药物研发效率的一个推动因素。