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In Trends in pharmacological sciences ; h5-index 70.0

3D printing (3DP) is a progressive technology capable of transforming pharmaceutical development. However, despite its promising advantages, its transition into clinical settings remains slow. To make the vital leap to mainstream clinical practice and improve patient care, 3DP must harness modern technologies. Machine learning (ML), an influential branch of artificial intelligence, may be a key partner for 3DP. Together, 3DP and ML can utilise intelligence based on human learning to accelerate drug product development, ensure stringent quality control (QC), and inspire innovative dosage-form design. With ML's capabilities, streamlined 3DP drug delivery could mark the next era of personalised medicine. This review details how ML can be applied to elevate the 3DP of pharmaceuticals and importantly, how it can expedite 3DP's integration into mainstream healthcare.

Elbadawi Moe, McCoubrey Laura E, Gavins Francesca K H, Ong Jun J, Goyanes Alvaro, Gaisford Simon, Basit Abdul W


3D Printed drug products and formulations, Industry 4.0 and digital health, additive manufacturing, biomedical engineering and pharmaceutical sciences, personalized oral drug delivery systems and medical devices, translational pharmaceutics