Poor scalability and efficiency

At the moment, most In Silico Trials models have insufficient scalability, as long as the lack of efficient computing of large-scale population models in easy-to-use, safe, and trusted environments.

Our goal:

Scalability and efficient computing: improve efficiency (cost and duration) of IST simulations; improve scalability of existing IST solutions, to handle large-scale simulations (from sensitivity analysis to populations); from big data to big simulations: user interfaces to supervise thousands of simulation results; implications of the General Data Protection Regulation 2016/679 (GDPR) for large-scale IST simulations.