Methods based on Agent systems and artificial intelligence

The artificial intelligence sector, moreover, the study of Machine Learning techniques and the use of specific mathematical techniques for the formulation and qualitative simulation of models, offered a determinant contribute for the research in biomedical field, becoming an indispensable tool for the activity in the health sector.

In scientific literature is in steady increase the articles that attest the effectiveness of the methods based on artificial intelligence agents and methods to support the diagnostic activity in the clinic sector and the planning therapeutic. It is certainly the molecular biological sector where these advanced methodologies have found a significant use, like valid alternatives to traditional statistics techniques, inadequate to extract the desired information from data sets available, or to classical methodologies of modelling and simulation for the characterization of genes, proteins and metabolites interaction.

In fact, both in the genomics and proteomics sector the contribution of artificial intelligence methods were crucial to the achievement of significant goals and has led researchers, from the biomedical sector, to look with great interest these new bioinformatics technologies, considering them no longer an ancillary opportunity available in extreme situations, but an indispensable tool for carrying out normal activities of investigation and research.

Hence the need for collaboration between researchers in the biomedical field and experts in the Bioinformatics field to specialise properly general approaches to solving problems of supervised and not supervised learning. In fact, the sharing of so different expertise is a point of departure required to collect the current challenges in the health field.

In this sector different project components have already actively participated in both European (ex. INTAS, BioinfoGRID, EMBRACE) and national (ex. MIUR-FIRB projects like LITBIO, LIBI, Bioinformatics project).