Machine learning in cancer research: implications for personalised medicine

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.

• Type: Conference
• Year: 2008
• Where: ESANN
• Authors: Alfredo Vellido, Elia Biganzoli, Paulo J. G. Lisboa
• Keywords: Broadening Landscape, Computer-aided Cancer Research, ESANN 2008, Machine Learning Methods, Neural Networks