Alexandru Mizeranschi

TL;DR: This work investigates the performance of distributed multiscales computing of component-based models, guided by six multiscale applications with different characteristics and from several disciplines, finding that the first mode has the apparent benefit of increasing simulation speed, and the second mode can increase simulation speed if local resources are limited.

TL;DR: New findings show that surface and invasive cells display very different physiology, adapting to different conditions in different colony areas and contributing to development and survival of the colony biofilm as a whole.

TL;DR: The aim of this chapter is to present some of the main concepts, requirements, and challenges of multiscale modeling and simulation in systems medicine.

TL;DR: This study uses two important computational intelligence methods: artificial neural networks and particle swarm optimization to present a novel method capable of inferring robust GRN models from multi-condition GRN experiments.

TL;DR: It is demonstrated that restricting the limits to the [−1, +1] interval is sufficient to represent the essential features of GRN systems and offers a reduction of the search space without loss of quality in the resulting models.