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 multiscale, AI-driven, and computational approaches in in silico disease modeling. Participants will gain an overview of cutting-edge modeling techniques, translational applications, and emerging trends driving predictive simulations, hybrid systems, and computational trial strategies.
Keywords: in silico disease modeling, multiscale modeling, mechanistic models, predictive modeling, AI-driven modeling, in silico clinical trial simulation, digital twins, model-informed drug development, translational applications, drug discovery, personalized medicine
Interdisciplinary meetup: who should attend
- Computational researchers building multiscale mechanistic models
- AI and data scientists developing predictive hybrid in silico models
- Pharma and biotech researchers applying models for drug discovery and translation
- Translational scientists integrating models with experimental and clinical data
- Technology developers creating simulation platforms and digital twin solutions
Topics
including but not limited to:
Multiscale, Mechanistic, and Predictive Disease Modeling
Computational simulations of diseases at cellular, tissue, and organ levels using multiscale, dynamic, and structural modeling approaches.
Computational Clinical Trial Simulation
Uses in silico disease models to simulate clinical trial scenarios, explore dosing and treatment strategies, predict outcomes, and incorporates digital twin concepts for improved predictions.
AI and Machine Learning Integration in Disease Modeling
Integrates AI and machine learning with computational disease models, enabling accurate hybrid simulations, modeling complex biological processes, and supporting drug discovery, disease insights, and personalized treatments.
Case Studies and Translational Applications
Presents examples of in silico disease modeling in drug discovery, compound screening, toxicity prediction, clinical trial simulation, and treatment optimization, highlighting translational applications from lab studies to clinical research.
Connecting Industry and Academia
This conference goes beyond disease modeling discussions, serving as a meeting point for academia and industry to showcase multiscale and AI-driven computational disease models, advanced simulation platforms, and predictive and translational in silico approaches.
By connecting participants across the value chain, the Conference fosters interdisciplinary exchange that drives technology transfer, commercialization, and real-world application of innovations.
