Cancer is a complex disease involving several intertwined phenomena and events, which collude to unleash the tumor cells inherent programs to proliferate, live, and move; thus, it is the malfunction of the biomolecular machinery responsible for the “checks and balances”, normally governed by various complex feedback loops among a population of various cell types. Breakdown of this machinery leads to uncontrolled growth of a cell population being selected by evolutionary pressure that ultimately costs the very survival of the host.
Understanding the many intricacies of all these interactions at the subcellular, cellular and tissue levels has greatly benefitted from the ever-improving applications of algorithmic, statistical and mathematical modeling tools. Moreover, during the past 15 years, new measurement technology for gene expression and, more recently, “deep” genome sequence data, have produced vast amount of data, waiting to be analyzed to deliver new interpretations. The design of novel “wet” experiments and appropriately matched algorithmic, statistical and mathematical modeling tools are expected to become the key to successful oncological science and practice.
The Workshop and School on Cancer Development and Complexity seeks to convene researchers from various related disciplines to explore multiple facets of the challenges posed by cancer a “disease of the systems.” The workshop will provide opportunities for the researchers to exchange new ideas and viewpoints, forge new collaborations and train the next generation of young scientists.
Participants are encouraged to present their work in two sessions and poster presentations that will be held during the workshop.
The program will provide an introduction to both cancer biology and mathematical and statistical methods used in analyzing the datasets currently being produced by several laboratories around the world. Next the program will provide an opportunity to interact with world renowned cancer and bioinformatics researchers and the chance for attendees to present their current work. Finally, all the attendees will receive a certificate of completion of the School.
School Directors
- Marco Antoniotti
BIMIB, Dipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca, Milan, Italy. - Alex Graudenzi
Institute of Molecular Bioimaging and Physiology of the Italian National Research Council (IBFM-CNR) - Bud Mishra
Courant Institute of Mathematical Sciences, and Tandon School of Engineering, NYU, New York, NY, USA.
Steering Committee
- Marco Antoniotti
BIMIB, Dipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca, Milan, Italy. - Riccardo Bellazzi
Università degli Studi di Pavia, Pavia, Italy. - Charles Cantor
Agena Biosciences, Sequenom, Retrotope and Boston University, USA. - Alex Graudenzi
Institute of Molecular Bioimaging and Physiology of the Italian National Research Council (IBFM-CNR) - Bud Mishra
Courant Institute of Mathematical Sciences, and Tandon School of Engineering, NYU, New York, USA. - Giulio Pavesi
Università degli Studi di Milano, Milan, Italy. - Giovanni Porta
Università degli Studi dell’Insubria, Varese, Italy.
Institutions
- BIMIB, Dipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca, Milan, Italy
- Fondazione Alessandro Volta, Como, Italy
Local Organization
- Davide Maspero (BIMIB, Univ. Milano-Bicocca)
- Fabrizio Angaroni (BIMIB, Univ. Milano-Bicocca)
Web Sites
Lake Como School
http://cdac2019.lakecomoschool.org
Bimib
http://bimib.disco.unimib.it