Venue: FIAS

This conference will bring together theorists, computational experts and data scientists of all ages to discuss digital twin development at different scales, ranging from molecules and cell compartments to tissues and neural systems. It will start a dialogue at the intersection of current life-science research topics and concepts for digital twins, and explore how existing multiscale models can be augmented for creating digital twins that are both accurate and efficient.

Digital twins promise to overcome existing experimental boundaries and provide mechanistic insights for both theorists and experimentalists. Originating in industry and engineering, digital twins are now entering the field of life sciences. Potentially, they offer true interrogability as under experimental conditions, albeit with much better controllability and reproducibility. As forerunners of digital twins, rigorous computational multiscale models enable the description of complex natural systems at different scales and levels of detail. However, the high degree of complexity and stochasticity in living systems quickly imposes limits on traditional bottom-up modeling approaches. This requires a new scientific mindset that readily exploits the opportunities opened up by combining mechanistic theories with the agnostic use of data. Recent advances in experimental techniques, and in particular the potential of AI to deal with incomplete knowledge, create the conditions for this methodological paradigm shift.

Conference Website