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Human cancer is at an important frontier of medical research, and one where Computational Intelligence methods have made substantial inroads in recent years. Computational Intelligence research in cancer now reaches all biological scales from human population down to the phenotype and genotype. It is also fair to say that it reaches the complete range of cancer pathologies. This book does not aim to achieve such completeness of coverage. Instead, the studies included in it should provide readers with a broad palette and a hopefully useful taster of what Computational Intelligence methods can...

Neural networks are increasingly being used in real-world business applications and, in some cases, such as fraud detection, they have already become the method of choice. Their use for risk assessment is also growing and they have been employed to visualise complex databases for marketing segmentation. This boom in applications covers a wide range of business interests -- from finance management, through forecasting, to production. The combination of statistical, neural and fuzzy methods now enables direct quantitative studies to be carried out without the need for rocket-science...

This book constitutes the thoroughly refereed post-proceedings of the 8th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2011, held in Gargnano del Garda, Italy, in June/July 2011. The 19 papers, presented together with 2 keynote speeches, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on statistical learning, genomics, computational intelligence for health at the edge, proteomics, intelligent clinical decision support systems (i-CDSS), bioinformatics, and data clustering.