| 8:30 - 8:40 | Opening Remarks |
| 8:40 - 9:10 | Individual-Specific Networks: Bridging population data and personalized insights for advanced patient subtyping Kristel Van Steen Université de Liège |
| 9:10 - 9:40 | AI for multi-omic network fusion to personalize medicine Nataša Pržulj Mohamed bin Zayed University of Artificial Intelligence |
| 9:40 - 10:00 | Network-Based Clustering of Cytokine Profiles Reveals Inflammatory Heterogeneity in ICU Patients with Severe Unexplained Epileptic Seizures Martin Guillemaud, M. Chavez, V. Navarro, Lawrence J. Hirsch, A. Hanin Paris Brain Institute, INRIA, Sorbonne University |
| 10:00 - 10:20 | Using Knowledge Graphs for post-COVID Drug Repurposing Alejandro Adriaque Lozano, Hasan Balci, Martina Kutmon Maastricht University |
| 10:20 - 10:30 | Human Reference Atlas: Embeddings of Single-Cell Data Filipi Silva, Andreas Bueckle, Katy Börner Indiana University |
| 10:30 - 11:00 | Coffee Break |
| 11:00 - 11:30 | Digital twins for complex human diseases: From pathways to cells to systems. Focus on Rheumatoid Arthritis Anna Niarakis Centre for Integrative Biology (CBI) of Toulouse |
| 11:30 - 12:00 | Understanding multiscale factors in disease towards digital twins from a network science perspective Luis M. Rocha Binghamton University |
| 12:00 - 12:20 | Deep integrative multilayer network-based analysis of rare neuromuscular disorders reveals overlapping multiscale endotypes involved in cardiac and skeletal muscle myopathies Iker Núñez-Carpintero, Jörg Menche, Julia Guthrie Ludwig Boltzmann Institute for Network Medicine at the University of Vienna |
| 12:20 - 12:30 | Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997-2014) Elma Dervic Medical University of Vienna/ Complexity Science Hub/ Supply Chain Intelligence Institute Austria |
| 12:30 - 14:10 | Lunch Break |
| 14:10 - 14:40 | Multi-modal learning for single-cell data integration Laura Cantini Institut Pasteur |
| 14:40 - 15:15 | To know what we know. From the science of emergence to BioDynaMo. Marco Manca SCImPULSE, BioDynaMo |
| 15:15 - 15:35 | CoCoGraph: A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules. Manuel Ruiz-Botella, Roger Guimerà, Marta Sales-Pardo Universitat Rovira i Virgili |
| 15:35 - 15:55 | SiSaNA: A Python-based command line interface for Single Sample Network Analysis Nolan Newman, Tatiana Belova, and Marieke Kuijjer Norwegian Center for Molecular Medicine (University of Oslo) |
| 15:55 - 16:30 | Coffee Break |
| 16:30 - 17:00 | Guiding gene regulatory process inference by domain knowledge Rebekka Burkholtz CISPA Helmholtz Center for Information Security |
| 17:00 - 17:20 | Node-layer duality reveals latent brain network disruptions in Alzheimer’s disease Charley Presigny, Marie-Constance Corsi, and Fabrizio de Vico Fallani Inria - Paris Brain Institute |
| 17:20 - 18:00 | How can network science inform AI biomedical applications? Panel Discussion |
| 18:00 - 18:10 | Closing Remarks |