The Next Pharmaceutical Path: Determining Technology Evolution in Drug Delivery Products Fabricated with Additive Manufacturing
Следующий путь фармацевтики: определение эволюции технологий в продуктах доставки лекарств, изготовленных с использованием аддитивных технологий
2020-09-25
SCID: 54.1/nx9u8e7a
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Competitive Technology Intelligence (CTI)additive manufacturingdrug delivery systemshype cycle modelmultiple linear regression
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Abstract (AI)
Additive manufacturing (AM) is increasingly gaining a presence in the pharmaceutical industry, specifically in the reconfiguration of drug delivery systems wherein new products are being developed for administering pharmaceuticals inside the body, and drug testing systems wherein complex tissues are created to analyze medical treatments. This paper proposes a novel methodology of Competitive Technology Intelligence (CTI) to uncover the evolution of new drug delivery products where additive manufacturing is present. Using the multiple linear regression analysis and hype cycle model as a conceptual basis, we processed data from scientific papers and patents indexed by Scopus and PatSnap for the period of 2004–2019. The outcomes of this study can create a relevant knowledge base for decision-making on introducing novel technologies such as AM. Industrial and academic communities are devoting important efforts toward the advancement of AM in the health industry, especially pharmaceuticals. It is expected that this technology will bring new solutions to address fundamental global health problems. However, this technology is still in its very early stage. Therefore, investments should focus on research and development (R&D) to build a solid foundation for commercialization in the next decade.
Key Findings
1
AM is currently at a very early stage in pharmaceuticals, so investments should prioritize R&D to enable commercialization over the next decade.
2
AM is increasingly present in pharmaceutical drug delivery and drug testing systems, enabling new in-body administration products and complex tissue creation for treatment analysis.
3
Industrial and academic communities are dedicating significant efforts to advance AM in the health and pharmaceutical industries.
4
The outcomes provide a knowledge base to inform decision-making about introducing AM technologies in pharmaceutical contexts.
5
The paper introduces a novel Competitive Technology Intelligence (CTI) methodology to uncover evolution of drug delivery products involving additive manufacturing (AM).
6
The study uses multiple linear regression analysis and the hype cycle model on Scopus and PatSnap data from 2004–2019 to analyze AM trends in pharmaceuticals.
Research Object
Drug delivery products fabricated with additive manufacturing (AM)
Research Subject
Evolution and technological development trajectories of AM-enabled drug delivery products uncovered via Competitive Technology Intelligence analysis (publication and patent trends, regression and hype-cycle assessment) from 2004–2019
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2020-09-25
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