Abstract
Multiple myeloma behaves as a dynamic complex system exhibiting self-organization.
This project will combine analysis of bio-medical data, principles of ecology and mathematical modelling of
systems dynamics. The aims are to:
1) Describe mathematically the evolution of MM in the form of a dynamical model, where the configuration of the system is represented by a set of extensive variables, and the evolution of the configuration is ruled by a complex network of crossed-linked controls and loops
2) Develop a simulator of the cancer behavior, with the final purpose of providing the models and tools to analyze the dynamics of cancer evolution and identifying systemic leverage points that could become novel therapeutic targets.
Keywords
multiple myeloma
ERC sector(s)
LS Life Sciences
Fields of study
Name supervisor
Alessandra Romano
E-mail
sandrina.romano@gmail.com
Name of Department/Faculty/School
DIPARTIMENTO D CHIRURGIA E SPECIALITA MEDICO CHIRURGICHE
Name of the host University
University of Catania (UNICT)
EUNICE partner e-mail of destination Research
eunice@unict.it
Country
Italy
Thesis level
PhD
Minimal language knowledge requisite
English B1
Thesis mode
Remote
Start date
Length of the research internship
12 months
Financial support available (other than E+)
No