Proceedings Second International Workshop on Hybrid Systems and Biology
Thao Dang, Carla Piazza

TL;DR
This workshop proceedings discusses hybrid modeling techniques that combine discrete and continuous methods to better understand complex biological systems across multiple scales, addressing modeling and analysis challenges.
Contribution
It compiles recent advances in hybrid systems modeling applied to various biological processes, highlighting their potential and challenges in systems biology.
Findings
Hybrid models effectively capture complex biological behaviors.
Hybrid modeling improves simulation scalability and formal analysis.
Applications include genetic networks, cardiac tissues, and tumor genesis.
Abstract
This volume contains the proceedings of the Second International Workshop Hybrid Systems and Biology (HSB 2013) held in Taormina (Italy), on September 2th, 2013. The workshop is affiliated to the 12th European Conference on Artificial Life (ECAL 2013). Systems biology aims at providing a system-level understanding of biological systems by unveiling their structure, dynamics and control methods. Due to the intrinsic multi-scale nature of these systems in space, in organization levels and in time, it is extremely difficult to model them in a uniform way, e.g., by means of differential equations or discrete stochastic processes. Furthermore, such models are often not easily amenable to formal analysis, and their simulations at the organ or even at the cell levels are frequently impractical. Indeed, an important open problem is finding appropriate computational models that scale well for…
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