使用深度学习的mRNA疗法的专利分析
Yuanqi Cai1,2,3, Xuejing Zhang1,2,3, Xiaoming Zhang4
1Center for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao, 266112, China.
Naunyn-Schmiedeberg's archives of pharmacology
|November 19, 2025
概括
获得诺贝尔奖的信使RNA (mRNA) 技术正在迅速发展. 专利分析显示,传染病和癌症是关键应用,交付和载体技术推动着未来的创新.
科学领域:
- 生物技术和制药科学 生物技术和制药科学
- 分子生物学和遗传学分子生物学和遗传学
- 知识产权和创新管理知识产权和创新管理
背景情况:
- 使者RNA (mRNA) 技术已经显示出显著的潜力,特别突出其在COVID-19大流行期间的作用和2023年诺贝尔奖.
- 全球加速的mRNA技术研发需要对竞争激烈的专利格局有明确的了解,以指导创新和工业增长.
研究的目的:
- 在过去27年中对mRNA疗法进行定量专利分析.
- 用先进的分析方法识别当前的技术趋势,预测未来的核心技术和关键专利权人.
- 绘制知识产权格局,了解mRNA疗法开发中的竞争动态.
主要方法:
- 利用Derwent专利数据库进行全面的数据收集.
- 雇佣社会网络分析和专利质量评估用于定量分析.
- 应用深度学习和机器学习算法,用于对未来技术和专利权人的预测分析.
主要成果:
- 目前的mRNA药物开发主要集中在传染病和癌症上.
- 传递技术仍然是一个关键的挑战,而有针对性的药物研究和载体技术被确定为未来的关键方向.
- 新兴组织正在创新新的交付系统,挑战大型公司持有的现有专利,这表明了多元化和竞争的格局.
结论:
- 全球mRNA疗法格局充满活力和多面性,权力转移远离由巨型公司持有的断.
- 通过深度学习增强的专利景观分析,是研究人员和行业的宝贵知识工具.
- 这项研究提供了洞察力,以激励开发高效的生产方法和mRNA疗法的战略创新.
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