生物材料设计从试验和错误发展到智能创新
Ruiyue Hang1, Xiaohong Yao1, Long Bai2
1Shanxi Key Laboratory of Biomedical Metal Materials, College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, PR China.
Acta biomaterialia
|March 13, 2025
概括
人工智能 (AI) 和高通量选 (HTS) 正在彻底改变生物材料设计. 这些技术加速了用于医学和工程应用的新生物材料的发现和优化.
科学领域:
- 生物材料科学 生物材料科学
- 材料工程 材料工程 材料工程
- 计算生物学 计算生物学
背景情况:
- 传统的生物材料设计依赖于低效的直角实验.
- 高通量选 (HTS) 提高了效率,但也有局限性.
- 人工智能 (AI) 标志着加速生物材料开发的新时代.
研究的目的:
- 系统地审查生物材料设计技术的演变.
- 探索AI与HTS在生物材料中的整合.
- 设想人工智能驱动的生物材料设计的未来潜力.
主要方法:
- 对生物材料设计现有文献的审查.
- 分析HTS和AI对生物材料开发的影响.
- 在材料科学中探索机器学习 (ML) 和深度学习模型.
主要成果:
- 人工智能通过预测建模显著加速生物材料的开发.
- 人工智能与HTS的整合提供了优化的设计管道.
- 人工智能可以实现个性化的生物材料设计.
结论:
- 人工智能和HTS是生物材料设计中的变革性工具.
- 人工智能驱动的方法准备重新定义这个领域.
- 本综述提供了关于人工智能在生物材料中的未来发展轨迹的见解.
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