ProCell: Investigating cell proliferation with Swarm Intelligence

Marco S. Nobile, Thalia Vlachou, Simone Spolaor, Paolo Cazzaniga, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Computational methods represent an effective mean for the analysis of complex biological processes, such as cell proliferation, especially when combined to well established experimental protocols. In particular, mathematical modeling coupled with computational intelligence algorithms can be successfully exploited to investigate different aspects of cell population dynamics in the context of tumor growth. To this aim, we defined ProCell, a modeling and simulation framework specifically designed for the investigation of cell proliferation, which makes use of Fuzzy Self-Tuning Particle Swarm Optimization to estimate the unknown parameters of cell population models. ProCell is here applied to the analysis of cell proliferation in acute myeloid leukemia, a hematological malignancy characterized by an inherent intra-tumoral heterogeneity that plays an important role in disease recurrence and resistance to chemotherapy. ProCell allowed to provide new insights on the intricate organization of cells with highly heterogeneous proliferative potential, and to highlight the important role of different cell types in the progression and evolution of the disease. ProCell is available under the GPL 2.0 license on GitHub at https://github.com/aresio/ProCell.

Original languageEnglish
Title of host publication2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019
EditorsGiacomo Baruzzo, Sebastian Daberdaku, Barbara Di Camillo, Simone Furini, Emanuele Domenico Giordano, Giuseppe Nicosia
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728114620
DOIs
Publication statusPublished - Jul 2019
Event16th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019 - Certosa di Pontignano, Siena, Italy
Duration: Jul 9 2019Jul 11 2019

Publication series

Name2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019

Conference

Conference16th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019
Country/TerritoryItaly
CityCertosa di Pontignano, Siena
Period7/9/197/11/19

Keywords

  • acute myeloid leukemia
  • computational intelligence
  • Fuzzy Self-Tuning PSO
  • Modeling
  • parameter estimation
  • simulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Computational Mathematics
  • Health Informatics

Fingerprint

Dive into the research topics of 'ProCell: Investigating cell proliferation with Swarm Intelligence'. Together they form a unique fingerprint.

Cite this