一个协作数据共享平台,以加快生物医学创新的翻译
Zohreh Izadifar1, Greg Storm2, Amol M Joshi3
1Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Bioengineering (Basel, Switzerland)
|September 27, 2025
概括
一个新的生物制造知识中心 (KH) 将加速生物医学产品的开发. 这种安全,数据驱动的平台连接利益相关者,加强合作和创新,以更快地为患者提供服务.
科学领域:
- 生物技术和生物医学工程 生物技术和生物医学工程
- 数据科学和信息学数据科学和信息学
- 监管科学 监管科学
背景情况:
- 生物制造业在数据可访问性和共享方面面临挑战,阻碍了产品生命周期管理.
- 目前的系统缺乏综合平台,使不同利益相关者之间无协作.
- 加速向患者提供生物医学创新需要新的数据利用方法.
研究的目的:
- 提出一个数据驱动的生物制造知识中心 (KH) 的创新概念.
- 概述一个安全的,抗量子的平台,集成数据存储,数字双胞胎和高级分析.
- 培养一个协作生态系统,连接患者,研究人员,临床医生,监管机构和行业.
主要方法:
- 概念化一个知识中心 (KH) 作为一个中央数据驱动的学习平台.
- 整合先进的数据共享和处理技术.
- 开发一个安全的,具有先进的加密和访问算法的抗量子架构.
主要成果:
- 拟议的KH促进了产品开发的加速,并减少了冗余.
- 它可以加强合作,从而加快创新周期.
- 该平台支持数据驱动的决策,用于产品改进和商业化.
结论:
- 生物制造知识中心 (KH) 为生物医学行业提供了变革性的潜力.
- 它有望彻底改变创新的速度,患者的治疗结果和商业化策略.
- 哈尔的安全,智能环境为超越当前生物制造应用提供了前所未有的机会.
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