Genetic algorithm against cancer

Authors:
F. Pappalardo;E. Mastriani;P.-L. Lollini;S. Motta
Affiliations:
Faculty of Pharmacy, University of Catania, Catania, Italy;Department of Mathematics and Computer Science, University of Catania, Catania, Italy;Sezione di Cancerologia, Dipartimento di Patologia Sperimentale and Centro Interdipartimentale di Ricerche sul Cancro “Giorgio Prodi”, University of Bologna, Bologna, Italy;Department of Mathematics and Computer Science, University of Catania, Catania, Italy
Venue:
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
Year:
2005

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Abstract

We present an evolutionary approach to the search for effective vaccination schedules using mathematical computerized model as a fitness evaluator. Our study is based on our previous model that simulates the Cancer – Immune System competition activated by a tumor vaccine. The model reproduces pre-clinical results obtained for an immunoprevention cancer vaccine (Triplex) for mammary carcinoma on HER-2/neu mice. A complete prevention of mammary carcinoma was obtained in vivo using a Chronic vaccination schedule. Our genetic algorithm found complete immunoprevention with a much lighter vaccination schedule. The number of injections required is roughly one third of those used in Chronic schedule.