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.
| Original language | English |
|---|---|
| Journal | Expert Opinion on Drug Delivery |
| DOIs | |
| State | Accepted/In press - 2026 |
| Externally published | Yes |
Keywords
- 3D printing
- additive manufacturing
- drug delivery devices
- pharmaceuticals
- scaffolds
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