Category: Modeling and simulation

Simpful v 2.1.5

We recently published the Release 2.1.5 of Simpful, our python tool for fuzzy modeling and reasoning. The new release supports the following improvements: Mamdani reasoning (which implies the support for output fuzzy sets); new pre-baked fuzzy sets (Triangular, Trapezoid) which integrate the already existing objects (e.g., Sigmoid, Gaussian). Of course, Simpful still supports the design …

Two new journal papers

Recently, we got two papers accepted for pubblication. The first one was the followup of our CIBCB 2019 paper, published on IEEE Journal of Biomedical and Health Informatics. The paper describes the last developments of our ProCell tool for cell proliferation analysis, whose GUI was completely overhauled by designer Luca Zanini and whose simulation core …

New paper about Dynamic Fuzzy Modeling accepted on Bioinformatics

Many years ago we started a cooperation with the Department of Biotechnology and Biosciences of the University of Milano-Bicocca. The goal was to govern programmed cell death on K-ras cancer cells under conditions of glucose starvation. Glucose is directly related to metabolism, i.e., glycolysis and TCA cycle in mitochondria, which in turn determine the production …

ProCell’s redesign

Designer Luca Zanini created a completely renewed GUI and user experience for ProCell. This is how the new interface looks like: The new interface of ProCell (which now reached version 1.6.0) has an elegant dark skin and has got an improved usability thanks to additional functionalities, a more rational use of colors and a new …

Best Paper Award at IEEE CIBCB’19

In early July, I presented our joint research with the European Institute of Oncology (IEO) at the 2019 IEEE Conference on Computational Intelligence in Computational Biology and Bioinformatics (CIBCB 2019). The paper, titled “ProCell: Investigating cell proliferation with Swarm Intelligence”, focuses on the investigation of AML blasts by means of ProCell, the stochastic modeling and …