Emerging Technologies Transforming Therapy

Edward Weaver; Dimitrios Lamprou

doi:10.20883/medical.e859

Authors

Edward Weaver School of Pharmacy, Queen’s University Belfast, Belfast, UK https://orcid.org/0000-0002-5539-8787
Dimitrios Lamprou School of Pharmacy, Queen’s University Belfast, Belfast, UK https://orcid.org/0000-0002-8740-1661

DOI:

https://doi.org/10.20883/medical.e859

Keywords:

Additive Manufacturing, Microfluidics, Lab-on-a-chip, BioMEMS, Sustainability, Machine Learning, Emerging Technologies

Abstract

The advancement of healthcare therapies is under constant development due to changing demographics and evolving disease-states. To ensure continuous furtherance of the healthcare system capacity to treat such ailments, emerging technologies (ETs) are coming to the forefront of medicine. It’s the hope that ETs are capable of covering a broad scope of therapeutic treatment areas, enabling novel pharmaceutical pathways to be established. Highlighted in this mini review are examples of focus ET areas, including additive manufacturing (AM), microfluidics (MFs), microelectromechanical systems (MEMS) and machine learning (ML), that have shown promising qualities and should be targeted further to improve patient outcomes.

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Author Biography

Dimitrios Lamprou, School of Pharmacy, Queen’s University Belfast, Belfast, UK

Dimitrios Lamprou (Ph.D., MBA) is Full Professor (Chair) of Biofabrication and Advanced Manufacturing, and Director at MSc Industrial Pharmaceutics at Queen’s University Belfast (QUB). He is also the Chair at United Kingdom and Ireland Controlled Release Society (UKICRS) and the Chair of the Academy of Pharmaceutical Sciences (APS) Emerging Technologies Focus Group. Dimitrios, is the author of over 150 peer-reviewed publications, has over 350 conference abstracts, has given over 150 Invited Talks in institutions and conferences across the world, and has secure Funding more than £3.5M. Dimitrios has been recognised as world leader in 3D Printing & Microfluidics. PubMed-based algorithms placed him in the top 0.088% of scholars in the world writing about 3D Printing and on the top 0.071% of scholars in the world writing about microfluidics, in the past 10-years. Moreover, PubMed-based algorithms placed him in the top 0.63% of scholars in the world writing about nanofibers. Dimitrios has also been named in the Stanford University’s list 2021 & 2022 of World’s Top 2% Scientists, for his research in Pharmaceutics and Biomedical Engineering. His research and academic leadership have been recognized in a range of awards, including the Royal Pharmaceutical Society Science Award and the Scottish Universities Life Sciences Alliance Leaders Scheme Award.

References

Hassan S, Gomez-Reyes E, Enciso-Martinez E, Shi K, Campos JG, Soria OYP, et al. Tunable and Compartmentalized Multimaterial Bioprinting for Complex Living Tissue Constructs. ACS Applied Materials & Interfaces. 2022;14(46):51602-18. DOI: https://doi.org/10.1021/acsami.2c12585

Jain P, Kathuria H, Dubey N. Advances in 3D bioprinting of tissues/organs for regenerative medicine and in-vitro models. Biomaterials. 2022;287:121639. DOI: https://doi.org/10.1016/j.biomaterials.2022.121639

Glover K, Mathew E, Pitzanti G, Magee E, Lamprou DA. 3D bioprinted scaffolds for diabetic wound-healing applications. Drug delivery and translational research. 2022. DOI: https://doi.org/10.1007/s13346-022-01115-8

Abbate MT, Ramöller IK, Sabri AH, Paredes AJ, Hutton AJ, McKenna PE, et al. Formulation of antiretroviral nanocrystals and development into a microneedle delivery system for potential treatment of HIV-associated neurocognitive disorder (HAND). International Journal of Pharmaceutics. 2023:123005. DOI: https://doi.org/10.1016/j.ijpharm.2023.123005

Lakkala P, Munnangi SR, Bandari S, Repka M. Additive manufacturing technologies with emphasis on stereolithography 3D printing in pharmaceutical and medical applications: A review. International Journal of Pharmaceutics: X. 2023:100159. DOI: https://doi.org/10.1016/j.ijpx.2023.100159

Chung S, Zhang P, Repka MA. Fabrication of timed-release indomethacin core-shell tablets for chronotherapeutic drug delivery using dual nozzle Fused Deposition Modeling (FDM) 3D printing. European Journal of Pharmaceutics and Biopharmaceutics. 2023. DOI: https://doi.org/10.1016/j.ejpb.2023.05.015

Momeni F, M.Mehdi Hassani.N S, Liu X, Ni J. A review of 4D printing. Materials & Design. 2017;122:42-79. DOI: https://doi.org/10.1016/j.matdes.2017.02.068

Sheikh A, Abourehab MA, Kesharwani P. The clinical significance of 4D printing. Drug Discovery Today. 2022:103391. DOI: https://doi.org/10.1016/j.drudis.2022.103391

Subash A, Kandasubramanian B. 4D printing of shape memory polymers. European Polymer Journal. 2020;134:109771. DOI: https://doi.org/10.1016/j.eurpolymj.2020.109771

Champeau M, Heinze DA, Viana TN, de Souza ER, Chinellato AC, Titotto S. 4D printing of hydrogels: a review. Advanced Functional Materials. 2020;30(31):1910606. DOI: https://doi.org/10.1002/adfm.201910606

Moroni S, Bingham R, Buckley N, Casettari L, Lamprou DA. 4D printed multipurpose smart implants for breast cancer management. International Journal of Pharmaceutics. 2023;642:123154. DOI: https://doi.org/10.1016/j.ijpharm.2023.123154

Fu P, Li H, Gong J, Fan Z, Smith AT, Shen K, et al. 4D printing of polymers: Techniques, materials, and prospects. Progress in Polymer Science. 2022;126:101506. DOI: https://doi.org/10.1016/j.progpolymsci.2022.101506

Weaver E, O'Connor E, Cole DK, Hooker A, Uddin S, Lamprou DA. Microfluidic-mediated self-assembly of phospholipids for the delivery of biologic molecules. International Journal of Pharmaceutics. 2022;611:121347. DOI: https://doi.org/10.1016/j.ijpharm.2021.121347

Schoenmaker L, Witzigmann D, Kulkarni JA, Verbeke R, Kersten G, Jiskoot W, et al. mRNA-lipid nanoparticle COVID-19 vaccines: Structure and stability. International journal of pharmaceutics. 2021;601:120586. DOI: https://doi.org/10.1016/j.ijpharm.2021.120586

Weaver E, Uddin S, Lamprou DA. Emerging technologies for combating pandemics. Expert Rev Med Devices. 2022;19(7):533-8. DOI: https://doi.org/10.1080/17434440.2022.2115355

Lee H-J, Kwak C, Kim D-P, Kim H. Continuous-flow Si–H functionalizations of hydrosilanes via sequential organolithium reactions catalyzed by potassium tert-butoxide. Green Chemistry. 2021;23(3):1193-9. DOI: https://doi.org/10.1039/D0GC03213A

Weaver E, O’Hagan C, Lamprou DA. The sustainability of emerging technologies for use in pharmaceutical manufacturing. Expert Opinion on Drug Delivery. 2022;19(7):861-72. DOI: https://doi.org/10.1080/17425247.2022.2093857

Tee CAT, Majlis BY, Ali MAM, Kayani ABA, Yeo W, Le S, et al. Electrode Isolation and Microfluidic Flow Effect Analysis on Dielectrophoretic Bioparticles Chaining for Flexible BioMEMS Application. IEEE Journal on Flexible Electronics. 2023. DOI: https://doi.org/10.1109/JFLEX.2023.3273508

Nix C, Ghassemi M, Crommen J, Fillet M. Overview on microfluidics devices for monitoring brain disorder biomarkers. TrAC Trends in Analytical Chemistry. 2022:116693. DOI: https://doi.org/10.1016/j.trac.2022.116693

Li Z, Hui J, Yang P, Mao H. Microfluidic Organ-on-a-Chip System for Disease Modeling and Drug Development. Biosensors. 2022;12(6):370. DOI: https://doi.org/10.3390/bios12060370

Cong H, Zhang N. Perspectives in translating microfluidic devices from laboratory prototyping into scale-up production. Biomicrofluidics. 2022;16(2):021301. DOI: https://doi.org/10.1063/5.0079045

Ramya S, Kumar SP, Vinodhini SP, Lingaraja D, Ram GD, editors. Design of MEMS based Micro-Pumps Transdermal Insulin Administration. 2023 Second International Conference on Electronics and Renewable Systems (ICEARS); 2023: IEEE. DOI: https://doi.org/10.1109/ICEARS56392.2023.10085422

Dedeloudi A, Weaver E, Lamprou DA. Machine learning in additive manufacturing & Microfluidics for smarter and safer drug delivery systems. International Journal of Pharmaceutics. 2023:122818. DOI: https://doi.org/10.1016/j.ijpharm.2023.122818

Kolluri S, Lin J, Liu R, Zhang Y, Zhang W. Machine Learning and Artificial Intelligence in Pharmaceutical Research and Development: a Review. The AAPS Journal. 2022;24(1). DOI: https://doi.org/10.1208/s12248-021-00644-3

Djuriš J, Kurćubić I, Ibrić S. Review of machine learning algorithms application in pharmaceutical technology. Archives of Pharmacy. 2021;71(Notebook 4):302-17. DOI: https://doi.org/10.5937/arhfarm71-32499