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Published on: August 30, 2018
3D printed drug delivery devices: recent promises and challenges
Ishwor Poudel1, Chu Zhang1, Nur Mita1,2
1Department of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, AL, USA.
3D printing (3DP) offers personalized drug delivery but faces challenges in cost, manufacturing, and regulation. Integrating AI and ML can enable adaptive manufacturing for tailored therapies, advancing personalized medicine.
Area of Science:
- Pharmaceutical Science
- Biomedical Engineering
- Materials Science
Background:
- 3D printing (3DP) has advanced pharmaceutical and biomedical applications, with medical devices gaining more traction than drug products.
- Despite 3DP's potential for patient-tailored, on-demand products, clinical adoption is limited by cost, efficacy, scalability, and regulatory concerns.
- Artificial intelligence (AI) and machine learning (ML) integration offers potential for adaptive manufacturing but lacks clear regulatory guidelines.
Purpose of the Study:
- To review the current state and future potential of 3D printing in drug delivery.
- To discuss the role of AI/ML and automation in personalized medicine applications.
- To examine regulatory landscapes and clinical trial progress for 3D-printed drug delivery devices.
Main Methods:
- Literature review of 3D printing technologies in pharmaceuticals and biomedicine.
- Analysis of challenges including cost-effectiveness, scalability, and regulatory hurdles.
- Exploration of AI/ML integration for adaptive and personalized manufacturing.
Main Results:
- 3DP technology is progressing, with increasing clinical relevance and feasibility.
- Bio-responsive materials and AI-driven design tools are enhancing 3D-printed delivery platforms.
- Patient-centric manufacturing via 3DP holds promise for targeted and effective personalized therapies.
Conclusions:
- 3D printing is poised to significantly impact personalized medicine through advanced drug delivery systems.
- Overcoming regulatory barriers and scaling up manufacturing are crucial for widespread clinical adoption.
- The synergy of 3DP, AI/ML, and novel materials will drive the next generation of therapeutic innovations.
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