The project, in collaboration with Inpeco, a multinational company in the field of clinical automation, is dedicated to the creation of a prototype of a system for the management of industrial and health processes, such as the advance path of the biological sample, from acquisition to reporting. The project aims to develop a monitoring infrastructure, which is able to ensure the effectiveness of the process through continuous monitoring by distributed sensors and that, thanks to algorithms and software analysis and prediction, allows the adoption of timely and preventive corrective actions.<\/p>\n","protected":false},"featured_media":11777,"template":"","meta":{"_acf_changed":false},"gruppo":[],"class_list":["post-19603","projects","type-projects","status-publish","has-post-thumbnail","hentry"],"acf":{"title":"PRediction Environments for Data Inspection and Clinical Traceability","acronym":"PREDICT DF","project_uuid":"62982da0-ba40-1032-95fe-0030485a3848","start_date":"21\/03\/2016","end_date":"20\/03\/2019","funder":"RAS, POR FESR 2007-2013 (bando P.I.A. 2013)","partners":"\n
| Nome<\/th>\n | Nazione<\/th>\n | Ruolo<\/th>\n <\/tr>\n\n |
|---|---|---|
| Inpeco SpA<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n<\/table>","proj_website":"","project_status":"Completed","project_coordinator":[{"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":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":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"}]},"yoast_head":"\n |