Special Session 1
Integrative Approaches to Biological Network Dynamics: From Network Controllability to Precision Medicine and AI

Organizer
Prof. Jose C. Nacher, Toho University, Japan

This session highlights novel computational approaches, AI-based methods, and multi-omics data integration for decoding biological networks and understanding how network structure and dynamics relate to cellular function, disease mechanisms, and biological pathways. We welcome contributions on network inference, dynamic modeling, single-cell analysis, predictive frameworks for precision medicine, and studies of drug interactions and repurposing. Contributions on network controllability and other control-based approaches are also encouraged.

Related topics:
1. Integration of multi-omics and drug-response data to uncover network dynamics, pathway activity, and therapeutic vulnerabilities
2. AI-based approaches, including deep learning, graph neural networks, and computational models of neural systems, for predicting disease genes, modeling cellular pathways or functional brain networks, and identifying control strategies in complex biological systems
3. Computational methods for elucidating cell-fate transitions, reprogramming pathways, and identifying therapeutic targets in precision medicine
4. Boolean network models of gene-regulatory and signaling systems under perturbation
5. Algorithms and mathematical frameworks for analyzing network controllability in complex biological systems including, but not limited to, protein–protein interaction networks, metabolic pathways, gene regulatory networks or circuits, and neuronal networks.

Submission Guideline
Please submit your manuscript via Electronic Submission System (account is needed). (Please choose the session number when you make the submission.)

Important Dates
Submission of Full Papers: August. 05, 2025
Notification of Review Result of Papers from Special Sessions: August. 25, 2025