Exploring the Interdisciplinary Nature of Precision Medicine：Network Analysis and Visualization

Area of Science:

• Precision medicine
• Genomics
• Bioinformatics
• Clinical research

Background:

• Interdisciplinary research is crucial for precision medicine.
• The exact cross-disciplinary landscape of precision medicine remains unclear.
• Understanding collaboration patterns is key to advancing the field.

Purpose of the Study:

• To analyze the nature of interdisciplinary collaboration in precision medicine.
• To map the disciplinary network using co-occurrence and social network analysis.
• To identify trends and developmental trajectories in precision medicine research.

Main Methods:

• Collected 7,544 precision medicine studies (2010-2019) from Web of Science.
• Employed descriptive statistics, co-occurrence analysis, and social network analysis.
• Utilized evolutionary graphs and strategic diagrams to visualize disciplinary trends.

Main Results:

• 105 diverse disciplines are involved, but distribution is unbalanced.
• Collaboration is characterized by immaturity, lack of centralization, and indirect interactions.
• Community 4 (genetics, heredity) is the most central and cooperative, indicating a mature research direction.
• Evolutionary graphs predict trends in big data processing, molecular imaging, and clinical applications.

Conclusions:

• Provides a comprehensive network map of interdisciplinary cooperation in precision medicine.
• Offers quantitative insights into the history of collaboration.
• Enables accurate prediction of future interdisciplinary trends for researchers, clinicians, and policymakers.