Description

The establishment of the "Digital Health Working Group" along with the nomination as coordinator of Prof. Mario Bochicchio, took place at the event "Health Digital Transformation in EU: The Role of Italian Academy" held on April 10, 2018 at the Aula Magna of the Department of Informatics, Automatic and Managerial engineering (DIAG) of the university "La Sapienza" in Rome, with the presence of the research groups belonging to 20 national universities, already active on the themes of computer science applied to the medical field, the president of CINI, Prof. Paolo Prinetto, Dr. Loukianos Gatzoulis (European Commission policy analyst, Directorate General-Health Food and Safety European Commission) and some representatives of the National Italian Institute of Health and SMEs.

Research units

This is a partial and initial list of the groups participating in the working group activities: 

Mission

The HPC ecosystem involves three distinct pillars: Infrastructures, Applications, and Key HPC Technologies. Within each one of these three areas, important challenges may be identified, as well as different evolution directions, including classical research topics, extreme scale specific requirements as well as education and training. And the whole HPC scenario is going to be redefined due to the convergence of traditional HPC (i.e., computationally intensive applications such as physical or chemical simulations) with the processing and storage of vast quantities of data.

Description

Scenario

The European HPC ecosystem involves three distinct pillars: Infrastructures, Applications, and Key HPC Technologies. Within each one of these three areas, important challenges may be identified, as well as different evolution directions, including classical research topics, extreme scale specific requirements and education&training. Furthermore, as confirmed by the most recent HiPEAC Vision document in addition to the ETP4HPC SRA, the whole HPC scenario is going to be redefined due to the convergence of traditional HPC (i.e., computationally intensive applications such as physical or chemical simulations) with the processing and storage of vast quantities of data.