眼科药物开发中的计算机试验:眼科的新前沿。

IF 4.9 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Georgios D Panos, Gordon N Dutton, Theodoros Empeslidis, Anastasios-Georgios Konstas
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引用次数: 0

摘要

计算机试验为眼科药物开发提供了前所未有的机遇。这些试验不仅承诺显著降低成本和开发时间,而且在患者安全性和依从性方面也有重大改善。涵盖领域:这一关键的观点讨论了新型眼科药物发现和开发的硅试验的价值。讨论包括这些试验的潜力和需要解决的挑战。专家意见:眼科社区正处于一个关键时刻,从传统的药物开发范式过渡到更综合的方法,包括计算方法,可能会深刻地重塑临床实践。然而,有几个重要的限制必须克服;这些限制包括依赖于输入数据的质量和完整性,考虑到复杂的生物系统,特别是在眼科,以及由于遗传、环境或生活方式因素导致的患者反应的可变性。硅模型验证的问题也很重要,特别是在广泛的现实世界临床数据不可用于比较的情况下。另一个重要的问题是,迄今为止,监管机构对计算机试验的接受程度有限,而标准化的指导方针和验证框架仍在开发中。所有这些问题都需要得到解决,以便今后在该领域取得有意义的进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In silico trials in ocular drug development: a new frontier in ophthalmology.

Introduction: In silico trials represent an unprecedented opportunity for ocular drug development. These trials not only promise significant reductions in costs and development timelines but also meaningful improvements in both patient safety and compliance.

Areas covered: This critical perspective gives discussion to the value of in silico trials for novel ocular drug discovery and development. Discussion includes the potential that these trials hold and the challenges that need to be addressed.

Expert opinion: The ophthalmic community stands at a critical juncture, where transitioning from traditional drug development paradigms to more integrative approaches, including computational methods, may profoundly reshape clinical practice. Nevertheless, there a several important limitations that must be overcome; these limitations include dependency on the quality and completeness of input data, accounting for complex biological systems, particularly in ophthalmology, and the variability in patient responses due to genetic, environmental, or lifestyle factors. The issue of silico model validation is also important, especially where the extensive real-world clinical data is not available for comparison. Another important concern is the limited regulatory acceptance of in silico trials to date while standardized guidelines and validation frameworks are still in development. All these issues will need to be addressed for future meaningful progression in the field.

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来源期刊
CiteScore
10.20
自引率
1.60%
发文量
78
审稿时长
6-12 weeks
期刊介绍: Expert Opinion on Drug Discovery (ISSN 1746-0441 [print], 1746-045X [electronic]) is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles on novel technologies involved in the drug discovery process, leading to new leads and reduced attrition rates. Each article is structured to incorporate the author’s own expert opinion on the scope for future development. The Editors welcome: Reviews covering chemoinformatics; bioinformatics; assay development; novel screening technologies; in vitro/in vivo models; structure-based drug design; systems biology Drug Case Histories examining the steps involved in the preclinical and clinical development of a particular drug The audience consists of scientists and managers in the healthcare and pharmaceutical industry, academic pharmaceutical scientists and other closely related professionals looking to enhance the success of their drug candidates through optimisation at the preclinical level.
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