Biomedical knowledge is crucial for accelerating discoveries and identifying targets for the development of new diagnostic devices, therapies, and vaccines. The application of artificial intelligence (AI) and machine learning techniques in research constitutes a new and powerful methodological approach to combine big data and patients’ clinical history, with significant health impacts ranging from diagnostic improvements to the possibility of personalized treatments based on individuals’ genetic backgrounds. Also, the promises of artificial intelligence are great for the prediction and prevention of diseases or large-scale epidemics. Not only hospital facilities but also the healthcare systems of entire countries can benefit from these applications, thanks to the reduction of hospitalization costs.

Thus, the main objective of the TECNOMED-HUB project is to create, in the Piedmontese territory, a 4.0 technological platform to support medical research. This platform is based on the integration of multi-omics platforms already present (but easily implementable for other technologies in the future), with self-learning algorithms, data mining, and big data analytics.

TECNOMED-HUB is currently establishing its CORE at the Translational Research Center for Autoimmune and Allergic Diseases (CAAD) in Novara and is generating big data that is being analyzed using AI. The results obtained are easily adaptable to future needs. This type of platform for knowledge development is increasing the efficiency of the search process by optimizing the organization and integration of already relevant and available data. The CAAD is currently a suitable candidate for a multi-omics service center (HUB) of the future generation, supporting the ongoing research revolution in eastern Piedmont and bridging the technological application gap in an area of interest for both the socio-health system and local businesses.

Biomedical knowledge is crucial for accelerating discoveries and identifying targets for the development of new diagnostic devices, therapies, and vaccines. The application of artificial intelligence (AI) and machine learning techniques in research constitutes a new and powerful methodological approach to combine big data and patients’ clinical history, with significant health impacts ranging from diagnostic improvements to the possibility of personalized treatments based on individuals’ genetic backgrounds. Also, the promises of artificial intelligence are great for the prediction and prevention of diseases or large-scale epidemics. Not only hospital facilities but also the healthcare systems of entire countries can benefit from these applications, thanks to the reduction of hospitalization costs.

Thus, the main objective of the TECNOMED-HUB project is to create, in the Piedmontese territory, a 4.0 technological platform to support medical research. This platform is based on the integration of multi-omics platforms already present (but easily implementable for other technologies in the future), with self-learning algorithms, data mining, and big data analytics.

TECNOMED-HUB is currently establishing its CORE at the Translational Research Center for Autoimmune and Allergic Diseases (CAAD) in Novara and is generating big data that is being analyzed using AI. The results obtained are easily adaptable to future needs. This type of platform for knowledge development is increasing the efficiency of the search process by optimizing the organization and integration of already relevant and available data. The CAAD is currently a suitable candidate for a multi-omics service center (HUB) of the future generation, supporting the ongoing research revolution in eastern Piedmont and bridging the technological application gap in an area of interest for both the socio-health system and local businesses.