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Competitive intelligence and patent analysis in drug discovery
Nicolas Grandjean1, Brigitte Charpiot1, Carlos Andres Pena1
1Genome and Proteome Sciences, Novartis Institutes for Biomedical Research, Basel, Switzerland.
Drug Discovery Today. Technologies
|July 2, 2014
Summary
Analyzing patent data offers valuable insights into drug discovery, revealing competitor activities and R&D trends. This review explores advanced textual analysis methods for patent exploration.
Area of Science:
- Pharmaceutical Sciences
- Intellectual Property Law
- Data Science
Background:
- Patents are a critical information source in the pharmaceutical industry.
- Analyzing patent data can uncover competitor strategies and research directions.
Purpose of the Study:
- To review the state-of-the-art in textual data analysis for patent exploration.
- To highlight the value of patent analysis in drug discovery.
Main Methods:
- Textual data analysis techniques.
- Information retrieval and exploration methods.
- Patent landscape analysis.
Main Results:
- Patent analysis provides insights into competitor activities.
- Identifies emerging research trends and fields.
- Reveals potential collaborations and partnerships.
Conclusions:
- Textual analysis of patents is essential for strategic drug discovery.
- Advanced methods enhance the extraction of valuable intelligence from patent data.
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