在金纳米粒子介导的药物输送中整合计算洞察力:提高有效性和精度
Amnah Alalmaie1, Huda Turki Alshahrani1, Manar Alqahtani1
1Department of Pharmaceutics, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
Frontiers in medical technology
|March 11, 2025
概括
计算方法和人工智能 (AI) 增强金纳米粒子 (AuNP) 疗法用于药物输送和癌症治疗. 整合人工智能和建模优化了AuNP设计,提高了生物医学应用中的精度和安全性.
科学领域:
- 纳米技术纳米技术
- 计算生物学 计算生物学
- 生物医学工程 生物医学工程
背景情况:
- 黄金纳米粒子 (AuNPs) 为生物医学应用提供独特的物理化学特性,如药物输送,癌症治疗和诊断.
- 优化基于AuNP的疗法需要了解它们与生物系统的相互作用.
研究的目的:
- 审查计算方法和人工智能 (AI) 与AuNP纳米技术的整合,以优化治疗应用.
- 要突出人工智能驱动的精确癌症治疗和AuNP-抗菌素组合的进步.
主要方法:
- 关于AuNP研究中的计算建模和AI的当前文献的综述.
- 分析AuNP与生物分子和系统的相互作用.
- 讨论AI在癌症治疗和抗菌药物策略中的应用.
主要成果:
- 计算建模有助于设计AuNP,以提高目标,稳定性和有效性.
- 人工智能模型在精确的癌症治疗和使用AuNP和抗菌来对抗耐药病原体方面表现有前途.
- 挑战包括AuNP毒性,准效率,可扩展合成和计算限制.
结论:
- 将计算洞察力与AuNP技术相结合,可以显著提高治疗和诊断的准确性,安全性和有效性.
- 跨学科的合作对于推进基于AuNP的生物医学应用至关重要.
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