Accelerating 3D printing of pharmaceutical products using machine learning

Ong, Jun Jie; Castro, Brais Muñiz; Gaisford, Simon; Cabalar, Pedro; Basit, Abdul W.; Pérez, Gilberto; Goyanes, Álvaro

doi:10.1016/j.ijpx.2022.100120

Cited by 27 publications

(26 citation statements)

References 58 publications

(69 reference statements)

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“…SSE is particularly suited for bioprinting purposes as operating temperatures are kept low ( Seoane-Viaño et al, 2021a ). By using a suitable software, 3D printed tablets (also known as printlets) with the exact dosage tailored to the crewmember's requirements could be printed in a matter of minutes ( Elbadawi et al, 2020 ; Elbadawi et al, 2021 ; Muñiz Castro et al, 2021 ; Ong et al, 2022 ). In the future, it might be possible to exploit the natural resources found on other planets to formulate medications.…”

Section: Innovative Manufacturing Methods For Medicinesmentioning

confidence: 99%

To infinity and beyond: Strategies for fabricating medicines in outer space

Seoane-Viaño¹,

Ong²,

Basit³

et al. 2022

International Journal of Pharmaceutics: X

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Section: Innovative Manufacturing Methods For Medicinesmentioning

confidence: 99%

To infinity and beyond: Strategies for fabricating medicines in outer space

Seoane-Viaño¹,

Ong²,

Basit³

et al. 2022

International Journal of Pharmaceutics: X

Self Cite

View full text Add to dashboard Cite

“…Both types of learning may be combined to form semi-supervised learning, in which unlabelled data is labelled using unsupervised methods, and subsequently utilised for supervised ML tasks [266]. Emerging forms of ML, such as reinforcement learning, active learning, multi-task learning, and generative models offer further opportunities to exploit available experimental data and maximise the efficiency of future experimental efforts [267][268][269][270].…”

Section: In Silico Prediction For Colonic Drug Deliverymentioning

confidence: 99%

Colonic drug delivery: Formulating the next generation of colon-targeted therapeutics

McCoubrey

Favaron

Awad

et al. 2023

Journal of Controlled Release

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“…Machine learning (ML), which is an application of artificial intelligence (AI) to enable pattern recognition from large and complex datasets, is gaining presence in the 3D printing field[ 134 - 141 ]. This tool contributes to product quality and productivity by in situ monitoring, optimizing design and process parameters, and speeding up the microstructure evolution prediction[ 142 ].…”

Section: Future Directions and Challengesmentioning

confidence: 99%

Three-Dimensional Printing Technologies for Drug Delivery Applications: Processes, Materials, and Effects

Mancilla-De-la-Cruz¹,

Rodríguez-Salvador²,

An³

et al. 2022

IJB

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Since the 1930s, new methods of drug delivery, such as implantable devices with drug release control, have been developed. However, manufacturing techniques require bulk due to high initial production costs. Three-dimensional (3D) printing, also known as additive manufacturing or rapid prototyping, allows the fabrication of personalized drug delivery that uses different materials and complex geometries with multiple release profiles, thereby eradicating high initial costs. Different studies have been developed showing the extensive potential of 3D printing for the pharmaceutical industry, and despite in-depth discussions that have been published, there is no comprehensive review of processes, materials, and effects in drug delivery applications thus far. This review aims to fill this gap by presenting the use of 3D printing technology for drug delivery, exposing the different variations of the technique according to the characteristics, material, and dosage form sought. There are seven main categories of 3D printing according to the standards jointly developed by International Organization for Standardization and American Society for Testing and Materials: material jetting, binder jetting, material extrusion, vat photopolymerization, powder bed fusion, sheet lamination, and directed energy deposition. There are different 3D fabrication processes used for drug delivery applications depending on the dosage form and material applied. In this context, polymers, glasses, and hydrogels represent the most frequent materials used. 3D printing allows different forms of drug dosage. Oral, topical, rectal and vaginal, parental and implantable are discussed in this paper, presenting the identification of the type of 3D printing technology, the active pharmaceutical ingredient, formulation, and pharmaceutical effect. The main aim of this paper is to offer insights to people from academy and industry who are interested in the advancement of drug delivery and in knowing the future directions in the development of 3D printing applications in this area.

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Accelerating 3D printing of pharmaceutical products using machine learning

Cited by 27 publications

References 58 publications

To infinity and beyond: Strategies for fabricating medicines in outer space

To infinity and beyond: Strategies for fabricating medicines in outer space

Colonic drug delivery: Formulating the next generation of colon-targeted therapeutics

Three-Dimensional Printing Technologies for Drug Delivery Applications: Processes, Materials, and Effects

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