LAPSE:2019.1071
Published Article
LAPSE:2019.1071
Change of Data-Driven Drug Design Trends Through Patent Analysis
September 30, 2019
The pharmaceutical industry is one of the most research and development (R&D)-intensive industries. This industry has tried many strategies to overcome the limitations of a business model that had a high return and high risk. In recent years, the fourth industrial revolution has affected many industries, causing them to update their traditional production and business strategies to a “data science-based” approach. This data science methodology, based on the largely increased size of the data environment, has actively changed the pharmaceutical industry. Therefore, this study aimed to identify specific characteristics of data science innovation in the pharmaceutical industry through the analysis of patent data from the triadic patent databases from the United States, Japan, and Europe.
Record ID
Keywords
D, data science, fourth industrial revolution, innovation, patent, pharmaceutical, R&, technology
Subject
Suggested Citation
Kim JH, Lee YG. Change of Data-Driven Drug Design Trends Through Patent Analysis. (2019). LAPSE:2019.1071
Author Affiliations
Kim JH: Department of Energy Resources Engineering, Inha University, Incheon 22212, Korea
Lee YG: Department of Energy Resources Engineering, Inha University, Incheon 22212, Korea
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Lee YG: Department of Energy Resources Engineering, Inha University, Incheon 22212, Korea
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Journal Name
Processes
Volume
7
Issue
8
Article Number
E492
Year
2019
Publication Date
2019-08-01
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr7080492, Publication Type: Journal Article
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Published Article
LAPSE:2019.1071
This Record
External Link
doi:10.3390/pr7080492
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Version History
[v1] (Original Submission)
Sep 30, 2019
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Sep 30, 2019
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v1
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https://psecommunity.org/LAPSE:2019.1071
Original Submitter
Calvin Tsay
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