The difficulty of curing and treating human diseases is in a large part due to the huge number of entities involved in them, the dynamical evolution of these entities, the way they are connected between each other and the dynamical evolution of the connections between these entities. For these reasons, the "networks" approach is essential to understand pathologies in their entirety and build efficient intervention strategies for public health issues in oncology, neurology, or epidemiology, using network theoretical approaches.
For instance, detection of abnormalities in the growth of blood vascular networks would facilitate early identification of patients at risk of developing cancer. Understanding links between functional and structural properties of the brain would allow better strategies for the surgical treatment of epilepsy. And insights into temporal changes of the network structure of a population affected by an epidemic spreading are crucial for controlling it.
To tackle such problems it is necessary to develop methods to reconstruct the structures of networks from real data, investigate dynamical processes based on these structures, and the dynamics of these structures themselves.
This workshop aims at creating new connections between experts from the area of Mathematics, Computer Science, Physics, Biomedical Modelling, to address such problems.
Topics: Epidemic Spreading, Brain networks, Endocrinology, Gene networks, Protein interactions networks. Temporal networks, delay models, Data-driven approaches.
For instance, detection of abnormalities in the growth of blood vascular networks would facilitate early identification of patients at risk of developing cancer. Understanding links between functional and structural properties of the brain would allow better strategies for the surgical treatment of epilepsy. And insights into temporal changes of the network structure of a population affected by an epidemic spreading are crucial for controlling it.
To tackle such problems it is necessary to develop methods to reconstruct the structures of networks from real data, investigate dynamical processes based on these structures, and the dynamics of these structures themselves.
This workshop aims at creating new connections between experts from the area of Mathematics, Computer Science, Physics, Biomedical Modelling, to address such problems.
Topics: Epidemic Spreading, Brain networks, Endocrinology, Gene networks, Protein interactions networks. Temporal networks, delay models, Data-driven approaches.
Funding:
This event has been co-funded by the University of Exeter “Researcher-led Initiative” of the Researcher Development and Research Culture team, and by the EPSRC Centre for Predictive Modelling in Healthcare.
This event has been co-funded by the University of Exeter “Researcher-led Initiative” of the Researcher Development and Research Culture team, and by the EPSRC Centre for Predictive Modelling in Healthcare.