Ishwor Poudel, Chu Zhang, Nur Mita, Robert D Arnold, Amit K Tiwari, R Jayachandra Babu
{"title":"3D printed drug delivery devices: recent promises and challenges.","authors":"Ishwor Poudel, Chu Zhang, Nur Mita, Robert D Arnold, Amit K Tiwari, R Jayachandra Babu","doi":"10.1080/17425247.2026.2658044","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Areas covered: </strong>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.</p><p><strong>Expert opinion: </strong>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.</p>","PeriodicalId":94004,"journal":{"name":"Expert opinion on drug delivery","volume":" ","pages":"1155-1173"},"PeriodicalIF":5.4000,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert opinion on drug delivery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17425247.2026.2658044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/4/16 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.