动态可视化计算机辅助体设计用于癌症治疗的动态可视化
Dan Hou1,2,3, Haobin Zhou1,2, Yuting Tang1,2
1Department of Basic Oral Medicine, School and Hospital of Stomatology, Guangdong Engineering Research Center of Oral Restoration and Reconstruction, Guangzhou Medical University, Guangzhou, Guangdong, 510182, People's Republic of China.
Drug design, development and therapy
|February 20, 2025
概括
计算机辅助设计增强了用于癌症治疗的抗癌 (ACP). 新兴趋势包括深度学习,细胞透和免疫疗法,有前途的先进治疗方法.
科学领域:
- 生物医学工程 生物医学工程
- 计算生物学 计算生物学
- 在瘤学瘤学.
背景情况:
- 癌症治疗面临着传统治疗方法和副作用的挑战.
- 基于的癌症治疗提供了诸如向,生物相容性和合成等优势.
- 的计算机辅助设计 (CAD) 正在推进癌症治疗策略.
研究的目的:
- 对抗癌 (ACP) 的计算机辅助设计进行文献计量分析.
- 探索目前的研究状况,热点和癌症类治疗中CAD的未来趋势.
主要方法:
- 从Web of Science核心收藏中对1547篇出版物 (2006-2024) 的图书统计分析.
- 使用的工具包括CiteSpace,VOSviewer,Bibliometrix,Origin和一个在线平台.
主要成果:
- 研究的稳定增长,美国和中国是主要贡献者.
- 目前的重点是用于药物输送的细胞透和用于免疫治疗的疫苗.
- 深度学习被确定为具有重大未来影响的新兴关键词.
结论:
- 深度学习,细胞透和多免疫疗法是未来的关键研究领域.
- 这些领域在癌症治疗方面具有巨大的突破潜力.
- 这项研究为推进基于的癌症治疗中CAD提供了宝贵的见解.
相关概念视频
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Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
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