3D printed drug delivery devices: recent promises and challenges.

IF 5.4
Expert opinion on drug delivery Pub Date : 2026-07-01 Epub Date: 2026-04-16 DOI:10.1080/17425247.2026.2658044
Ishwor Poudel, Chu Zhang, Nur Mita, Robert D Arnold, Amit K Tiwari, R Jayachandra Babu
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Abstract

Introduction: 3D printing (3DP) has gained decent pace in the past decade in the pharmaceutical and biomedical fields. The approval of 3D-printed medical devices has gained more attraction than that of 3D-printed drug products. However, concerns related to cost-effectiveness, efficacy, and large-scale manufacturing are still prevalent, thus challenging the mainstream development of 3D-printed drug delivery devices.

Areas covered: Drug delivery devices and scaffolds, along with the possibilities involving artificial intelligence (AI), machine learning (ML), and automation, for personalized applications. The regulatory guidelines, as well as a glimpse of drug delivery devices under clinical trials, are discussed.

Expert opinion: Although 3DP offers patient-tailored, on-demand products, its clinical adoption is hindered by regulatory barriers, limited standards, and scalability issues. Integrating AI/ML could offer real-time adaptive clinical manufacturing; however, the guidelines for these disruptive technologies are often unclear. With patient-centric manufacturing, 3D-printed devices and scaffolds could play a key role in personalized medicine, delivering targeted and effective therapies.The transition from proof-of-concept to real-world testing underscores the growing feasibility and clinical relevance of 3DP technologies. With rapid progress in bio-responsive materials and AI-driven design tools, 3D-printed delivery platforms are expected to improve in adaptability and therapeutic effectiveness for next-generation personalized therapies.

3D打印给药设备:最近的承诺和挑战。
导读:3D打印(3DP)在过去十年中在制药和生物医学领域取得了可观的进展。3d打印医疗器械的审批比3d打印药品的审批更具吸引力。然而,与成本效益、疗效和大规模生产相关的担忧仍然普遍存在,从而挑战了3d打印给药装置的主流发展。涵盖领域:药物输送设备和支架,以及涉及人工智能(AI),机器学习(ML)和自动化的可能性,用于个性化应用。讨论了监管指南,以及临床试验中药物输送装置的一瞥。专家意见:尽管3d打印提供了患者定制的按需产品,但其临床应用受到监管障碍、有限标准和可扩展性问题的阻碍。集成AI/ML可提供实时自适应临床制造;然而,这些颠覆性技术的指导方针往往不明确。通过以患者为中心的制造,3d打印设备和支架可以在个性化医疗中发挥关键作用,提供有针对性和有效的治疗。从概念验证到实际测试的转变强调了3d打印技术日益增长的可行性和临床相关性。随着生物响应材料和人工智能驱动设计工具的快速发展,3d打印给药平台有望提高下一代个性化治疗的适应性和治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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