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: virtual screening, in silico drug design, AI-driven tools, machine learning, deep learning, generative models, molecular docking, molecular modeling, predictive modeling, high-throughput screening, multi-target prediction, chemical libraries, cloud-based platforms, drug discovery

 

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

Simulation of disease trajectories and dynamics, including time-series, state-transition, stochastic, and intervention-response models.

Future Perspectives

merging modeling methods, hybrid and multiscale approaches, model interpretability, data integration, and innovative computational frameworks.

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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.