通过人工智能实现口服药物输送的个性化:从数据驱动的设计到按需制造
Youssef Abdalla1, Laxmi Prasanna Nandiraju1, Haoran Yue1
1UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.
Advanced drug delivery reviews
|March 16, 2026
概括
人工智能 (AI) 和3D打印 (3DP) 正在彻底改变药物输送. 人工智能通过预测剂量和优化定制口服剂型的配方来实现个性化医疗,从而改善患者的治疗结果.
科学领域:
- 制药科学 制药科学
- 生物技术是生物技术.
- 计算机科学 计算机科学
背景情况:
- 口服药物输送是最常见的途径,采用"一刀切"的方法.
- 这种方法往往会导致低于最佳的疗效和不良反应,由于个体间的变化.
- 人工智能 (AI) 为个性化药物输送提供了解决方案.
研究的目的:
- 审查人工智能和机器学习 (ML) 方面的进展,以实现个性化的口服药物输送.
- 探索人工智能与3D打印 (3DP) 的整合,以制造定制剂型.
- 在实施人工智能驱动的制药研究中识别机遇和挑战.
主要方法:
- 对药物研究中AI,ML和3DP的当前文献的综述.
- 在剂量预测,配方优化和数字制造中分析AI应用.
- 讨论数据质量,监管和临床实施方面的挑战.
主要成果:
- 人工智能加速了制药研究中的数据密集型任务,提高了速度和准确性.
- 人工智能与3DP的整合使得分散的,按需生产个性化药物成为可能.
- 机器学习模型正在推进剂量预测,配方设计和制造过程.
结论:
- 人工智能和3DP正在为精确,适应性和以患者为中心的口服药物递送铺平道路.
- 合作对于开发可互操作的数据集和质量设计框架至关重要.
- 解决数据质量,监管和临床实施方面的挑战是未来成功的关键.
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