Revolutionizing Personalized Medicine: 3D-Printed Drug Dosage Forms via Hot Melt Extrusion
Abstract
Recent advancements in pharmaceutical manufacturing are paving the way for highly personalized and on-demand therapies. This article discusses a novel approach that integrates Hot Melt Extrusion (HME) with 3D printing to produce drug dosage forms with customizable immediate- and modified-release profiles. By transforming APIs and polymers into drug-loaded filaments and then precisely printing them into dosage forms, this method addresses longstanding challenges, such as limited control over drug distribution and suboptimal solubility, while enhancing patient compliance. The innovative design not only promises tailored dosing regimens but also provides significant advantages in production efficiency and regulatory compliance.
Keywords: Personalized Medicine, Hot Melt Extrusion (HME), Solubility, Patient Compliance
Keywords:
Personalized Medicine, Hot Melt Extrusion (HME), Solubility, Patient ComplianceDOI
https://doi.org/10.22270/jddt.v15i9.7357References
1. Cailleaux S, Sanchez-Ballester NM, Gueche YA, Bataille B, Soulairol I. Fused Deposition Modeling (FDM), the new asset for the production of tailored medicines. J Control Release. 2021;330:821-841. https://doi.org/10.1016/j.jconrel.2020.10.056
2. Bandari S, Nyavanandi D, Dumpa N, Repka MA. Coupling hot melt extrusion and fused deposition modeling: Critical properties for successful performance. Adv Drug Deliv Rev. 2021;172:52-63. https://doi.org/10.1016/j.addr.2021.02.006
3. Alva C, Goetzinger E, Matić J, et al. Tailoring the release of highly loaded amorphous solid dispersions via additive manufacturing. J Control Release. 2025;382:113723. https://doi.org/10.1016/j.jconrel.2025.113723
4. Zgouro P, Katsamenis OL, Moschakis T, et al. A floating 3D printed polypill formulation for the coadministration and sustained release of antihypertensive drugs. Int J Pharm. 2024;655:124058. https://doi.org/10.1016/j.ijpharm.2024.124058
5. Wu S, Liu Y, Fan X, Shen Y, Qu H. Trends and new process analytical technologies in pharmaceutical manufacturing. Int J Pharm. 2025;682:125957. https://doi.org/10.1016/j.ijpharm.2025.125957
6. Ong JJ, Castro BM, Gaisford S, et al. Accelerating 3D printing of pharmaceutical products using machine learning. Int J Pharm X. 2022;4:100120. https://doi.org/10.1016/j.ijpx.2022.100120
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Copyright (c) 2025 Amit Kumar , Pooja Arora
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