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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

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Published on: July 24, 2019

Artificial Intelligence and Network Medicine: Path to Precision Medicine.

Lucia Altucci¹, Lina Badimon², Jean-Luc Balligand³

¹Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples, Italy.

|September 8, 2025

Summary

Network medicine (NM) and artificial intelligence (AI) integration accelerates discovery for precision medicine. Combining these approaches enhances analysis of multiomic data for better disease insights and targeted therapies.

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Area of Science:

Biomedical Informatics
Computational Biology
Systems Biology

Background:

Network medicine (NM) has advanced disease mechanism elucidation, drug target identification, and precision therapy development over 20 years.
The integration of artificial intelligence (AI), especially deep learning, with NM is a growing area with significant therapeutic potential.

Purpose of the Study:

To review the combined use of AI and NM for advancing precision medicine.
To illustrate the successes and challenges of integrating AI and NM in analyzing complex biomedical data.

Main Methods:

Review of current literature on AI and NM integration.
Analysis of multiomic datasets using combined AI and NM approaches.
Exploration of deep learning techniques within the network medicine framework.

Main Results:

The synergy of AI and NM enhances the speed and predictive precision of computational analyses.
Combined approaches yield deeper biological insights from large multiomic datasets.
Successful applications demonstrate the potential for elucidating complex disease mechanisms.

Conclusions:

The integration of AI and NM offers a powerful computational strategy for precision medicine.
This combined approach is crucial for navigating the complexity of multiomic data.
Ongoing challenges in AI-NM integration require further research and development.