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Improving the Rate of Translation of Tissue Engineering Products
Author(s) -
Ghaemi Roza Vaez,
Siang Lim C.,
Yadav Vikramaditya G.
Publication year - 2019
Publication title -
advanced healthcare materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.288
H-Index - 90
eISSN - 2192-2659
pISSN - 2192-2640
DOI - 10.1002/adhm.201900538
Subject(s) - scope (computer science) , variety (cybernetics) , engineering ethics , chart , computer science , translational research , data science , risk analysis (engineering) , business , engineering , medicine , artificial intelligence , pathology , statistics , mathematics , programming language
Over 100 000 research articles and 9000 patents have been published on tissue engineering (TE) in the past 20 years. Yet, very few TE products have made their way to the market during the same period. Experts have proposed a variety of strategies to address the lack of translation of TE products. However, since these proposals are guided by qualitative insights, they are limited in scope and impact. Machine learning is utilized in the current study to analyze the entire body of patents that have been published over the past twenty years and understand patenting trends, topics, areas of application, and exemplifications. This analysis yields surprising and little‐known insights about the differences in research priorities and perceptions of innovativeness of tissue engineers in academia and industry, as well as aids to chart true advances in the field during the past twenty years. It is hoped that this analysis and subsequent proposal to improve translational rates of TE products will spur much needed dialogue about this important pursuit.