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Updated: Sep 9, 2025
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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
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Network-based precision medicine and systems pharmacology.
Arvind K Pandey1, Susan Dina Ghiassian2, Joseph Loscalzo1
1Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
British Journal of Pharmacology
|September 1, 2025
Summary
Network medicine helps analyze complex multi-omic data to find disease biomarkers and drug targets. This approach aids precision medicine by identifying patient-specific signals for tailored therapies and drug repositioning.
Area of Science:
- Bioinformatics
- Systems Biology
- Computational Biology
Background:
- Multi-omic data offers potential for personalized medicine but faces challenges in signal identification.
- Translating pathobiology insights into drug targets and repositioning existing drugs remains complex.
Purpose of the Study:
- To review network medicine approaches for analyzing complex biological data.
- To identify disease biomarkers, novel drug targets, and facilitate drug repositioning.
Main Methods:
- Application of network science principles to biological systems.
- Analysis of multi-omic data to identify molecular and phenotypic signals.
Main Results:
- Network medicine can decipher complex datasets to reveal key biological signals.
- Identifies potential biomarkers for disease and therapeutic response.
Conclusions:
- Network-based approaches are crucial for advancing precision medicine.
- Facilitates the discovery of new therapeutic strategies and drug repurposing.
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