Current Applications of Artificial Neural Networks in Biochemistry with Emphasis on Cancer Research
John C. Cancilla, José S. Torrecilla and Gemma Matute
Affiliation: Departamento de Ingeniería Química, Facultad de Ciencias Químicas, Universidad Complutense de Madrid, 28040-Madrid, Spain
The objective of this review is to analyze several of the almost countless applications in which artificial neural
networks (ANNs) are being exploited in the biochemical field. In biochemistry, numerous non-linear processes have to be
dealt with, and that is precisely where ANNs excel. Therefore, ANNs can be seen as great candidates for obtaining correct
mathematical algorithms of biochemical procedures that are difficult to study through classic statistical methods. Fermentation
processes, environmental sciences, and biomedical applications are some of the fields in which ANNs are being used,
and all three of them will be analyzed in this review. The study of cancer through the application of ANN methodology will
be addressed in detail due to its vast worldwide impact. Specific studies on each of these themes, developed by various research
groups, will also be examined in order to acknowledge the great estimating power of ANNs.
Keywords: Artificial neural networks, biochemical applications, cancer.
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