Machine learning in cancer research: Implications for personalised medicine

Alfredo Vellido; Elia Biganzoli; Paulo J G Lisboa

Machine learning in cancer research: Implications for personalised medicine

Alfredo Vellido, Elia Biganzoli, Paulo J G Lisboa

Fondazione IRCCS Istituto Nazionale dei Tumori

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Driven by the growing demand of personalization of medical procedures, data-based, computer-aided cancer research in human patients is advancing at an accelerating pace, providing a broadening landscape of opportunity for Machine Learning methods. This landscape can be observed from the wide-reaching view of population studies down to the genotype detail. In this brief paper, we provide a sweeping glimpse, by no means exhaustive, of the state-of-the-art in this field at the different scales of data measurement and analysis.

Original language	English
Title of host publication	ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning
Pages	55-64
Number of pages	10
Publication status	Published - 2008
Event	16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008 - Bruges, Belgium Duration: Apr 23 2008 → Apr 25 2008

Other

Other	16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008
Country	Belgium
City	Bruges
Period	4/23/08 → 4/25/08

ASJC Scopus subject areas

Artificial Intelligence
Information Systems

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Machine learning in cancer research : Implications for personalised medicine. / Vellido, Alfredo; Biganzoli, Elia; Lisboa, Paulo J G.

ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning. 2008. p. 55-64.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Vellido, A, Biganzoli, E & Lisboa, PJG 2008, Machine learning in cancer research: Implications for personalised medicine. in ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning. pp. 55-64, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008, Bruges, Belgium, 4/23/08.

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