New Frontiers of Drug Development Through the Use of New Approach Methodologies.

IF 3.4 3区 医学 Q1 PHARMACOLOGY & PHARMACY
M N Martinez, J P Mochel, K Allenspach, C Zdyrski, S Krishna, I Rusyn
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引用次数: 0

Abstract

On November 2025, AAPS PharmSci 360 convened a symposium that included experts in the application of various types of New Approach Methodologies (NAMs). They shared their experiences and insights on topics that included microphysiological systems (MPS), the use of 3D organoids, and in silico tools. MPS systems were explored from the perspective of their testing and qualification through an academia-industry-government tissue chip testing consortium whose mission is to perform context-of-use-based testing of MPS and conduct comparative evaluations to support the use of MPS systems in safety assessments. 3D organoids were described and insights shared on how and when they may provide an appropriate tool for evaluating drug safety and effectiveness, and their use in supporting personalized medicine. Regarding in silico tools, examples were provided to describe their growing utility in predicting drug toxicity, population variability, and its potential benefits over traditional evidence-based toxicology. These tools include in silico models (e.g., physiologically based pharmacokinetic models), Artificial Intelligence (AI), and Machine Learning (ML) which, unlike other aspects of model informed drug development, reduce reliance on predefined models and allows for the integration of diverse sources of data. Computationally, these tools can generate predictions in hours where it would otherwise have taken weeks or months (and extensive experimentation). Within this meeting report, we highlight the key issues discussed during that symposium and share additional aspects to consider when developing a NAMs-based roadmap for specific contexts of use.

通过使用新的方法方法,药物开发的新领域。
2025年11月,AAPS PharmSci 360召开了一次研讨会,包括各种新方法方法(NAMs)应用方面的专家。他们就微生理系统(MPS)、3D类器官的使用和计算机工具等主题分享了他们的经验和见解。通过一个学术-行业-政府组织芯片测试联盟,从测试和认证的角度对MPS系统进行了探索,该联盟的任务是对MPS进行基于使用环境的测试,并进行比较评估,以支持MPS系统在安全评估中的使用。描述了3D类器官,并分享了关于如何以及何时可以为评估药物安全性和有效性提供适当工具,以及它们在支持个性化医疗中的使用的见解。关于计算机工具,举例说明了它们在预测药物毒性、群体变异性方面日益增长的效用,以及相对于传统循证毒理学的潜在优势。这些工具包括计算机模型(例如,基于生理学的药代动力学模型)、人工智能(AI)和机器学习(ML),与模型知情药物开发的其他方面不同,它们减少了对预定义模型的依赖,并允许整合各种数据源。在计算上,这些工具可以在几个小时内生成预测,否则需要几周或几个月(以及大量的实验)。在这份会议报告中,我们强调了研讨会期间讨论的关键问题,并分享了在为特定使用环境制定基于nams的路线图时需要考虑的其他方面。
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
AAPS Journal
AAPS Journal 医学-药学
CiteScore
7.80
自引率
4.40%
发文量
109
审稿时长
1 months
期刊介绍: The AAPS Journal, an official journal of the American Association of Pharmaceutical Scientists (AAPS), publishes novel and significant findings in the various areas of pharmaceutical sciences impacting human and veterinary therapeutics, including: · Drug Design and Discovery · Pharmaceutical Biotechnology · Biopharmaceutics, Formulation, and Drug Delivery · Metabolism and Transport · Pharmacokinetics, Pharmacodynamics, and Pharmacometrics · Translational Research · Clinical Evaluations and Therapeutic Outcomes · Regulatory Science We invite submissions under the following article types: · Original Research Articles · Reviews and Mini-reviews · White Papers, Commentaries, and Editorials · Meeting Reports · Brief/Technical Reports and Rapid Communications · Regulatory Notes · Tutorials · Protocols in the Pharmaceutical Sciences In addition, The AAPS Journal publishes themes, organized by guest editors, which are focused on particular areas of current interest to our field.
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