Mathematical modelling of multiple myeloma progression

Research Topic
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
Host Researcher Info
Name Surname
Alessandra Romano
E-mail
sandrina.romano@gmail.com
Name of Department/Faculty/School
DIPARTIMENTO D CHIRURGIA E SPECIALITA MEDICO CHIRURGICHE
EUNICE University
University of Catania (UNICT)
Country
Italy
EUNICE contact e-mail
eunice@unict.it
Mobility additional info
Thesis mode
Remote
Start date
Length of the research internship
12 months
Financial support available (other than E+)
No
Applicant (Student) info
Thesis level
PhD
Minimal language knowledge requisite
English B1