AI & Data-Driven MPS
Advancing the Next Generation of MPS through Innovative Tools
International Conference: 21-22 June 2026, Berlin, Germany
The Conference brings together researchers, technologists, and industry experts to explore AI- and data-driven methods for advancing microphysiological systems. Discussions will focus on developments in computational modeling, data analysis, and automation that support MPS design, experimentation, and optimization, emphasizing both emerging research and practical tools for daily MPS workflows.
Keywords: microphysiological systems, in vitro models, organoids, cell culture, ai-driven analysis, generative ai, self-learning models, predictive modeling, multi-modal data integration, workflow automation, high-throughput experimental design, dynamic experimental monitoring, digital twins, computational analysis, automated experimental workflows
Interdisciplinary meetup: who should attend
- Researchers in MPS, organoids, and cell culture
- Developers and engineers in lab automation, high-throughput, and digital twin platforms
- Data scientists using AI-driven, generative, and self-learning models
- R&D leads and product managers applying MPS in research and development
- Industry providers of innovative MPS tools
Topics
including but not limited to:
Data-Driven Automation for Efficient MPS Experiments
Automate experimental data collection, processing pipelines, and standardized data management..
AI-Assisted Design and Modeling for MPS Optimization
Apply AI algorithms for system modeling, parameter fitting, and iterative simulation refinement.
Real-Time Monitoring and Digital Twin Use in MPS Workflows
Capture and process real-time sensor data while updating digital twin models continuously.
Practical AI Tools for Data Analysis in MPS Research
Implement AI-driven data analysis pipelines, statistical modeling, and visualization workflows.
Connecting Industry and Academia
This forum goes beyond discussing how AI- and data-driven approaches can advance research and development in microphysiological systems, organoids, and cell culture models. It also serves as a unique meeting point and community hub where experts from academia and industry can connect, showcase innovative MPS tools, and share advances in modeling human biology, engineering the next generation of MPS, and product development applications.
By connecting participants across the full value chain, the forum fosters interdisciplinary exchange that accelerates technology transfer, commercialization, and the practical application of innovations in real-world settings.
