The purpose of the ToPMa Project is the creation of tools and methodologies that enable the transfer of individual health data to personal repository systems made available to the citizens, in a continuous and automatic manner, from institutional and non-institutional sources, based on what is specified in an informed consent defined prior to the start of data transfer and dynamically modifiable at any time by the individuals.<\/p>\n","protected":false},"featured_media":10977,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-12678","projects","type-projects","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"title":"Total Patient Management","acronym":"ToPMa","project_uuid":"ea67fb12-4da9-11ef-a6ce-005056a5f278","start_date":"14\/12\/2022","end_date":"30\/06\/2026","funder":"RAS","partners":"","proj_website":"","project_status":"Execution","project_coordinator":[{"ID":10233,"post_author":"4","post_date":"2025-06-30 17:23:13","post_date_gmt":"2025-06-30 15:23:13","post_content":"Enrico Gobbetti is the director of Visual and Data-intensive Computing (ViDiC) at the Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Italy. He holds an Engineering degree (1989) and a Ph.D. degree (1993) in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL), as well as Full Professor Habilitations in Computer Science and Information Processing from the Italian Ministry of University and Research. Prior to joining CRS4, he held research and\/or teaching positions at the Swiss Federal Institute of Technology in Lausanne, the University of Maryland Baltimore County (UMBC), Baltimore MD, USA, and the Center of Excellence in Space Data and Information Sciences (NASA\/CESDIS), NASA Goddard Space Flight Center, Greenbelt MD, USA. At CRS4, Enrico develops and manages a research program in visual and data-intensive computing supported through institutional, industrial and government grants, including many national and international projects. His research spans many areas of visual and data-intensive computing and is widely published in major journals and conferences. The primary focus is the study and creation of innovative, intelligent, and scalable solutions for acquiring, creating, processing, distributing, exploring, and analyzing complex and\/or massive datasets derived from simulations or measurements of phenomena, objects, environments, or real-world processes. He regularly serves the scientific community through participation in editorial boards, program committees, working groups and steering boards, as well as through the organization and chairing of conferences. He is a Fellow of Eurographics.","post_title":"Enrico Gobbetti","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"enrico-gobbetti","to_ping":"","pinged":"","post_modified":"2026-04-05 20:11:27","post_modified_gmt":"2026-04-05 18:11:27","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/enrico-gobbetti\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10226,"post_author":"4","post_date":"2025-06-30 17:23:05","post_date_gmt":"2025-06-30 15:23:05","post_content":"Francesca coordinates the digital health research activities on the Visual and Data-intensive Computing Sector at CRS4 (prev. Research Programs Digital Health\/Healthcare Flows). Her research activity spans the opportunities and problems arising from the application of computer science to medicine, working on interoperability, traceability, telemedicine and modelling of data and processes in the clinical context. In her 20 years of research experience she has cultivated ongoing collaborations with public and private organisations, including research institutions, hospitals and industries operating in the health IT sector, with particular attention to the direct application of research results in clinical practice. She holds a Ph.D. in Innovation Sciences and Technologies from the University of Cagliari and a degree in Biomedical Engineering from the University of Genoa. Her present research interests are mainly focused on the modelling of biomedical data and processes, with a particular attention to interoperability and traceability, also in the perspective of the application of the FAIR Principles. In particular, she is currently working: on an integration profile about specimen tracking (SET profile), with the IHE PaLM Technical committee; on the modelling of genetic data through the openEHR formalism, with openEHR International; and a standard under development about provenance information in the biotechnology domain (Standard ISO 23494, ISO Technical Committee 276), with BBMRI-ERIC, the European research infrastructure for biobanking.","post_title":"Francesca Frexia","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"francesca-frexia","to_ping":"","pinged":"","post_modified":"2026-04-05 20:11:18","post_modified_gmt":"2026-04-05 18:11:18","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/francesca-frexia\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}],"team_members":[{"ID":10141,"post_author":"4","post_date":"2025-06-30 17:22:03","post_date_gmt":"2025-06-30 15:22:03","post_content":"Fabio Bettio is an electronics engineer, software developer, and technologist specializing in visual computing and scientific visualization. He has strong expertise in GPU-accelerated and web-based rendering, with a solid background in C++, OpenGL\/WebGL, GLSL, and WebXR development. He is a contributor to OpenLIME, an open-source platform for interactive visualization and relightable model rendering in scientific and cultural heritage contexts. In addition to software development, he has extensive experience as a Linux system and HPC cluster administrator. He has developed tools for system and UPS monitoring, implemented automated backup solutions, and manages web infrastructures based on CMSs for research initiatives and international conferences such as Eurographics and EuroVis. His scientific contributions have been published in top-tier journals such as ACM Journal on Computing and Cultural Heritage (JOCCH), Computers & Graphics, IEEE Transactions on Visualization and Computer Graphics (TVCG), and Solar Energy. His work has also been presented at renowned international conferences, including Eurographics, EuroVis, ISMAR, and Digital Heritage.","post_title":"Fabio Bettio","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"fabio-bettio","to_ping":"","pinged":"","post_modified":"2026-04-05 20:10:10","post_modified_gmt":"2026-04-05 18:10:10","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/fabio-bettio\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10152,"post_author":"4","post_date":"2025-06-30 17:22:09","post_date_gmt":"2025-06-30 15:22:09","post_content":"","post_title":"Gavin Brelstaff","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"gavin-brelstaff","to_ping":"","pinged":"","post_modified":"2026-04-05 20:10:13","post_modified_gmt":"2026-04-05 18:10:13","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/gavin-brelstaff\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10228,"post_author":"4","post_date":"2025-06-30 17:23:07","post_date_gmt":"2025-06-30 15:23:07","post_content":"Massimo Gaggero received his B.Sc. in Electronic Engineering in 2006 from the University of Cagliari, Italy, with a thesis on the use of the FPGA accelerators of the Cray supercomputer XD1 for the parallelization of digital filtering algorithms. In 2000 he started working at CRS4 dealing with networks, systems and distributed computing. In 2007, as Expert Software Engineer of the Advanced Computing group, he deals with distributed deployment systems on a geographical scale of virtual computing clusters. In 2008 he participated in the Research Assistantship Program at the NURC, NATO Undersea Research Center, where he carried out analysis and design of distributed sensors for underwater acoustic networks and Delay-Tolerant \/ Disruption-Tollerant architectures for maritime applications. He is currently Senior Technologist at the Data-intensive Computing Program where he deals with telemetry of industrial processes, clinical devices, IoT and applications for Smart Cities.","post_title":"Massimo Gaggero","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"massimo-gaggero","to_ping":"","pinged":"","post_modified":"2026-04-05 20:11:21","post_modified_gmt":"2026-04-05 18:11:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/massimo-gaggero\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":9986,"post_author":"4","post_date":"2025-06-30 17:26:23","post_date_gmt":"2025-06-30 15:26:23","post_content":"Graduated in Electronic Engineering at the University of Cagliari in 2003, Alessandro Sulis successively took a II level Master in Information Technology, at the Center of Excellence CEFRIEL in Milan. He has a decade of experience in interoperability between clinical systems according to the main standards and best practices and actively collaborates with international reference organizations (IHE and HL7 International). In particular, since 2013 he has been Monitor at the IHE European Connectathon and since 2021 he has been Co-Chair of the Technical Committee of the IHE PaLM (Pathology and Laboratory Medicine) domain, where he is also the main editor of the SET Profile (Specimen Event Tracking), for sample traceability. His current research interests include the study and promotion of FAIR principles, in the context of projects related to FAIRification of data and metadata in the clinical domain.","post_title":"Alessandro Sulis","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"alessandro-sulis","to_ping":"","pinged":"","post_modified":"2026-04-05 20:14:13","post_modified_gmt":"2026-04-05 18:14:13","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/alessandro-sulis\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10210,"post_author":"4","post_date":"2025-06-30 17:22:45","post_date_gmt":"2025-06-30 15:22:45","post_content":"Giovanni Delussu is a researcher in the \"Digital Health\" area which belongs to the \"Visual and Data-Intensive Computing\" research Program. He holds a Laurea (MSc) degree in Aeronautical Engineering from the \"Politecnico di Torino\" (1993). Afterwards he worked in the Italian Air Force as officer to ground equipment aircraft maintenance. He joined the CRS4 in 1996. He has worked in many different fields: algorithms and codes for mesh generation, sail aerodynamics, boat hydrodynamics, combustion, dynamic structural calculations on artificial heart valves, rocket for Mars exploration (Prof. Rubbia). He worked also in the renewable energy area, specifically on concentrated solar power (CSP) systems. Then he worked on \"Big Data\" problems. Presently he is working on digital healthcare solutions. In 2017 got his PhD in Innovation Sciences and Technologies jointly awarded by University of Cagliari (UNICA), University of Aveiro (UAVR), Portugal, Pushchino State Institute of Life Sciences, (PSILS), Pushchino, Russia and ENIM Ecole Nationale de l'Industrie Minerale, Morocco with a thesis in the field of Biomedical Informatics. Main interests:surfing, tennis","post_title":"Giovanni Delussu","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"giovanni-delussu","to_ping":"","pinged":"","post_modified":"2026-04-05 20:10:57","post_modified_gmt":"2026-04-05 18:10:57","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/giovanni-delussu\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10208,"post_author":"4","post_date":"2025-06-30 17:22:43","post_date_gmt":"2025-06-30 15:22:43","post_content":"Mauro Del Rio received the M.Sc. degree in Electronic Engineering from the University of Cagliari in 2005. In 2006 he joined the Digital Media Applications group at CRS4. Here he took part to the development of tools and applications for managing multimedia files. Since 2013 he has been working with the Digital Health group. He deals with Telemedicine and distributed computing of clinical data.","post_title":"Mauro Del Rio","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"mauro-del-rio","to_ping":"","pinged":"","post_modified":"2026-04-05 20:10:54","post_modified_gmt":"2026-04-05 18:10:54","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/mauro-del-rio\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10291,"post_author":"4","post_date":"2025-06-30 17:24:26","post_date_gmt":"2025-06-30 15:24:26","post_content":"Since the degree in Computer Science from the Universit\u00e0 degli Studi di Cagliari in 2008, he deals with research and development in the area of Clinical Informatics and Biomedicine. He has worked since 2010 in the Digital Health group at CRS4, where he is involved in design and development of application focused on integration among clinical domains, telemedicine. In particular, in the context of telemedicine, he participated in the creation of a prototype for ultrasound teleconsultation. Regarding interoperability, he collaborated to the implementation of traceability systems for clinical processes, acquiring a deep knowledge of international standards and guidelines of the field, like HL7 and IHE. He is the main developer of HL7apy, an open-source Python package to handle HL7 v2 messages and he participated as Monitor to the IHE Connectathon in 2017, 2018 and 2020. More recently he has focused his work on data FAIRification concerning the sharing of data about rare diseases and the development of the biomedical research registry of the Region of Sardinia.","post_title":"Vittorio Meloni","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"vittorio-meloni","to_ping":"","pinged":"","post_modified":"2026-04-05 20:12:32","post_modified_gmt":"2026-04-05 18:12:32","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/vittorio-meloni\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10259,"post_author":"4","post_date":"2025-06-30 17:23:44","post_date_gmt":"2025-06-30 15:23:44","post_content":"After graduating in Computer Science at the University of Cagliari in 2006, he joined the Digital Health group of CRS4, directing his research activity to the application of ICT in the clinical and biomedical fields, mainly in the areas of telemedicine, interoperability between clinical systems and creation of systems for the treatment of large amounts of biomedical data. His current research interests are focused on the management of complex and heterogeneous clinical data with open standard formats (such as openEHR and HL7-FHIR) and on Digital Pathology. In this area in particular, he has designed and implemented the CRS4 Digital Pathology platform to support diagnosis from digitized slides, collaborating with leading clinical institutions such as the Karolinska Institutet in Stockholm and the COREP consortium. The platform allows to handle, view and annotate scanned images, and it is the core of several use cases in the context of international research projects, focused on remote training (CyTest), clinical trials (ProMort Study) and Artificial Intelligence models' development from annotated images (DeepHealth).","post_title":"Luca Lianas","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"luca-lianas","to_ping":"","pinged":"","post_modified":"2026-04-05 20:11:51","post_modified_gmt":"2026-04-05 18:11:51","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/luca-lianas\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10285,"post_author":"4","post_date":"2025-06-30 17:24:17","post_date_gmt":"2025-06-30 15:24:17","post_content":"Cecilia Mascia got her master's degree in Biomedical Engineering in 2013 at the Polytechnic of Turin, with a thesis focused on the evaluation of a telemedicine system developed during an internship at the Digital Health group of the CRS4. In 2015 she collaborated with the Department of Mechanical, Chemical and Materials Engineering of the University of Cagliari in a research project on the analysis, modelling and re-engineering of processes related to the drug supply chain in a private hospital. She joined the DH group in 2014, mainly involved in clinical data modelling activities according to international specifications (openEHR, in particular, and HL7 CDA) for EHR interoperability purposes. She is currently working with the BBMRI-ERIC consortium to draft a proposal of a provenance information model for the biotechnology domain (ISO TC 276) and with the OpenEHR consortium for the definition of genomic data models.","post_title":"Cecilia Mascia","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"cecilia-mascia","to_ping":"","pinged":"","post_modified":"2026-04-05 20:12:23","post_modified_gmt":"2026-04-05 18:12:23","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/cecilia-mascia\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10070,"post_author":"4","post_date":"2025-06-30 17:25:30","post_date_gmt":"2025-06-30 15:25:30","post_content":"Graduated in Computer Engineering at Universit\u00e0 \"La Sapienza\" of Rome, since 2014 he works as a technologist at CRS4. Here he deals with the design and implementation of distributed systems for the processing and storage of large volumes of scientific data (Big Data), with a particular focus on the use of micro-service architectures and the automation of their deployment.","post_title":"Marco Enrico Piras","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"marco-enrico-piras","to_ping":"","pinged":"","post_modified":"2026-04-05 20:13:29","post_modified_gmt":"2026-04-05 18:13:29","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/marco-enrico-piras\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"\n