通过人类数据驱动的发现 (HD) 重新连接药物研发
David B Jackson1, Rebecca Racz2, Sarah Kim3
1Molecular Health GmbH, 69115 Heidelberg, Germany.
Pharmaceutics
|June 28, 2023
概括
制药行业面临着创新危机,临床前研究往往产生不太可能在患者中成功的候选人. 人类数据驱动的发现 (HD3) 方法,整合现有数据,可以提高研发效率并加速新药开发.
科学领域:
- 药学研究 药学研究
- 药物发现 药物发现 药物发现
- 生物技术是生物技术.
背景情况:
- 制药行业努力将数据转化为研发效率,导致药物开发创新危机.
- 传统的临床前研究往往将患者成功概率低的候选药物引入开发管道.
研究的目的:
- 审查药品研发效率的常见问题,并提出解决方案.
- 引入人类数据驱动的发现 (HD3) 范式,作为克服创新危机的战略.
主要方法:
- 分析导致研发效率低下的工业和科学相关因素.
- 首要原则分析以确定临床前研究中的关键问题.
- 对HD3范式的概念验证应用程序的审查.
主要成果:
- 临床前研究被认为是一个瓶,前载管道与非可行的候选人.
- HD3范式提供了现有数据和技术的战略整合,以改善结果.
- 在药物安全性,重新定位,组合疗法设计和流行病应对方面,HD3的应用已经取得了成功.
结论:
- 纠正创新危机需要从传统的临床前模型转变.
- 采用人类数据驱动的发现 (HD3) 方法对于增强药物发现至关重要.
- 创新者必须领导向以人为本,基于系统的药物发现和研究的过渡.
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