In Silico Disease Modeling
International Conference: 15-16 June 2026, Berlin, Germany
Computational Insights into Disease Mechanisms and Progression
The conference brings together researchers, technologists, and industry experts to explore the latest AI-driven and computational approaches in disease modeling. Participants will gain an overview of cutting-edge tools, practical applications, and emerging trends driving the next generation of in silico disease simulation and predictive modeling.
Keywords: computational disease modeling, in silico disease modeling, computational analysis, disease progression, multiscale modeling, mechanistic models, AI-driven simulation, predictive modeling, multimodal data fusion, hybrid modeling, model interpretability
Interdisciplinary meetup: who should attend
- Computational researchers modeling mechanistic and multiscale disease models
- AI and data scientists building predictive and hybrid disease models
- Pharma and biotech researchers using in silico disease simulations
- Translational scientists linking models with experimental and clinical data
- Technology developers creating simulation platforms and virtual disease tools
Topics
including but not limited to:
In Silico Disease Mechanisms
Multiscale and mechanistic models of diseases at cellular, tissue, and organ levels, including dynamic networks and pathway simulations.
AI Methods for Disease Simulation
Machine learning and AI-driven models, hybrid and data-integrated simulations, novel computational and virtual disease models, multimodal data fusion, predictive modeling.
Computational Modeling of Disease Progression
Computational analysis of disease trajectories and dynamics, including time-series, state-transition, stochastic behaviors, and intervention-response models.
Future Perspectives
merging modeling methods, hybrid and multiscale approaches, model interpretability, data integration, and innovative computational frameworks.
Connecting Industry and Academia
This conference goes beyond discussions of disease modeling, serving as a meeting point for academia and industry to showcase novel computational and virtual disease models, emerging simulation platforms, and innovative approaches, while fostering collaboration and knowledge exchange across sectors.
By connecting participants across the value chain, the Conference fosters interdisciplinary exchange that drives technology transfer, commercialization, and real-world application of innovations.
