Malheiro Vera, Duarte Joana, Veiga Francisco, Mascarenhas-Melo Filipa
Drug Development and Technology Laboratory, Faculty of Pharmacy, University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal.
LAQV, REQUIMTE, Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal.
Pharmaceutics. 2023 Oct 28;15(11):2545. doi: 10.3390/pharmaceutics15112545.
The pharmaceutical industry has entered an era of transformation with the emergence of Pharma 4.0, which leverages cutting-edge technologies in manufacturing processes. These hold tremendous potential for enhancing the overall efficiency, safety, and quality of non-biological complex drugs (NBCDs), a category of pharmaceutical products that pose unique challenges due to their intricate composition and complex manufacturing requirements. This review attempts to provide insight into the application of select Pharma 4.0 technologies, namely machine learning, in silico modeling, and 3D printing, in the manufacturing process of NBCDs. Specifically, it reviews the impact of these tools on NBCDs such as liposomes, polymeric micelles, glatiramer acetate, iron carbohydrate complexes, and nanocrystals. It also addresses regulatory challenges associated with the implementation of these technologies and presents potential future perspectives, highlighting the incorporation of digital twins in this field of research as it seems to be a very promising approach, namely for the optimization of NBCDs manufacturing processes.
随着制药4.0的出现,制药行业已进入转型时代,制药4.0在制造过程中利用了前沿技术。这些技术对于提高非生物复杂药物(NBCDs)的整体效率、安全性和质量具有巨大潜力,非生物复杂药物是一类由于其复杂的成分和复杂的制造要求而带来独特挑战的药品。本综述试图深入了解选定的制药4.0技术,即机器学习、计算机模拟建模和3D打印,在非生物复杂药物制造过程中的应用。具体而言,它回顾了这些工具对脂质体、聚合物胶束、醋酸格拉替雷、碳水化合物铁复合物和纳米晶体等非生物复杂药物的影响。它还讨论了与实施这些技术相关的监管挑战,并提出了潜在的未来展望,强调了数字孪生在这一研究领域的纳入,因为这似乎是一种非常有前景的方法,即用于优化非生物复杂药物的制造过程。