Cross-cutting technologies

Sviluppo e applicazione di metodi computazionali, digital twin, intelligenza artificiale, scienze omiche e gestione avanzata dei big data.

Molecular and multiphysics simulations supporting biophysical phenomena

Biophysical phenomena are studied using molecular and multiphysics simulations, including the development of digital twins that dynamically represent reality by combining data and sensors. These approaches employ mathematical models and computational tools to analyze the mechanisms underlying biological processes, such as molecular interactions and the influence of physical phenomena on biological functions. Digital twins offer dynamic digital representations of molecular processes that enhance the predictive accuracy of simulations.

Development and use of artificial intelligence in biotechnological and biomedical applications

We develop and utilize artificial intelligence (AI) for biotechnological (both red and green biotech) and biomedical applications, including device development, image processing, big data analysis, and molecular simulations, with particular attention to optimizing complex clinical protocols and designing new drugs. Biological and clinical data are analyzed to identify the most effective combinations of variables for example, in defining optimal protocols for the application of electric pulses in tumor treatment or for improving cardiac ablation procedures.

Omics sciences and bioinformatics

By integrating genomic, metagenomic, transcriptomic, proteomic, metabolomic, and miRNome analyses, we apply a holistic approach to the study of biological systems. This facilitates the understanding of their dynamic interactions, both at the level of cellular function under physiological conditions and in response to environmental factors, treatments, or disease. Omics studies provide crucial information for applications in the agri-food, nutraceutical, pharmaceutical, and environmental sectors.