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Computational Intelligence for Predicting the Chemotherapy Outcomes in Breast Cancer

Rene NatowiczAntônio P. BragaRoberto IncittiMarcelo A. CostaPatrick SiarryArben CelaEuler G. HortaCarmén de M. PataroTiago SouzaRoman Rouzier

Predicting the outcome of chemotherapy treatments in oncology is an important clinical issue for better allocating the patients to the treatments, and in pharmacology because an accurate characterization of the non responders could be of great help for designing new treatments dedicated to these cases. We present an ongoing franco-brazilian research for the design of efficient multigenomic predictors in breast cancer. This research is supported by a four years CAPES-COFECUB program (2008-2011).

http://www.lbd.dcc.ufmg.br/colecoes/colibri/2009/010.pdf

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Biblioteca Digital Brasileira de Computação - Contato: bdbcomp@lbd.dcc.ufmg.br
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