{"id":10226,"date":"2025-06-30T17:23:05","date_gmt":"2025-06-30T15:23:05","guid":{"rendered":"https:\/\/www.crs4.it\/people\/francesca-frexia\/"},"modified":"2026-04-05T19:11:13","modified_gmt":"2026-04-05T17:11:13","slug":"francesca-frexia","status":"publish","type":"people","link":"https:\/\/www.crs4.it\/en\/people\/francesca-frexia\/","title":{"rendered":"Francesca Frexia"},"content":{"rendered":"

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.<\/p>\n","protected":false},"featured_media":4161,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-10226","people","type-people","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"name":"Francesca","surname":"Frexia","email":"francesca.frexia@crs4.it","phone":"+39 070 9250246","user_uuid":"e3c025c2-99fc-1032-95fe-0030485a3848","personal_page":"","google_scholar_id":"","position":"Technologist","microsoft_academic_id":"","project_coordinator":[{"ID":12672,"post_author":"4","post_date":"2025-07-03 18:18:00","post_date_gmt":"2025-07-03 16:18:00","post_content":"The Lab FAIR Data Project is part of the I FAIR Programme \"Enhancement of Independent Clinical Research and FAIR\", which aims to support independent clinical research conducted spontaneously by non-commercial promoters within the Regional Health System Institutions, promoting the adoption of FAIR Principles for research results that can be Findable, Accessible, Interoperable and Reusable<\/em>.\nCRS4 is one of the main creators of the I FAIR Programme and is in charge of its strategic design and implementation, together with Expert Patients' Associations and the Universities of Cagliari and Sassari, with the coordination of the Biomedical Research Support Unit of Sardegna Ricerche.\nWithin the framework of the I FAIR Programme, CRS4 has contributed and continues to contribute to the dissemination of the importance of the application of the FAIR Principles among the scientific community on the territory, through dissemination, training and support initiatives towards a shared culture of management and valorisation of the data collected in the framework of research activities.\nCRS4 has also set up the Regional Biomedical Research Registry, a tool designed to improve the quality, reusability and sustainability of clinical research. It is an infrastructure built according to the FAIR Principles and aimed at collecting a set of descriptive metadata related to independent clinical trials, in order to facilitate the sharing and reuse of the data collected and generated.\nThe Registry is in the process of being populated with metadata from the clinical trials identified during the FAIR I Calls, and is publicly accessible online at:\nhttps:\/\/ifair.crs4.it<\/a>\nThe I FAIR Programme was born in coherence with and implementation of the Smart Specialisation Strategy (S3) of the POR-FESR 2014-20 for the strategic area of Biomedicine, confirmed and extended in the S3 of the POR FESR 2021-27.","post_title":"Lab FAIR Data","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"lab-fair-data","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:23","post_modified_gmt":"2026-04-02 10:32:23","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/lab-fair-data\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12678,"post_author":"4","post_date":"2025-07-03 18:18:12","post_date_gmt":"2025-07-03 16:18:12","post_content":"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.","post_title":"ToPMa","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"topma","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:14","post_modified_gmt":"2026-04-02 10:32:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/topma\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12688,"post_author":"4","post_date":"2025-07-03 18:18:25","post_date_gmt":"2025-07-03 16:18:25","post_content":"The aim of this training course is to consolidate skills useful for tackling the transition of the BBMRI-ERIC biobanks geared to the cornerstones of the FAIR Principles (Findability-Accessibility-Interoperability-Reusability), particularly with regard to the data held and the processes that generate or aggregate them.The programme starts by reinforcing the participants' skills in system and biomedical data management and explores the topics of interoperability (technical and semantic), scalable and reproducible computing and the application of the FAIR Principles in biomedical research contexts.The course is organised in theoretical lectures accompanied by practical sessions (topic-specific or as part of the realisation of a final project).","post_title":"BBMRI TRAINING","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"bbmri-training","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:43","post_modified_gmt":"2026-04-02 10:32:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/bbmri-training\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12707,"post_author":"4","post_date":"2025-07-03 18:18:46","post_date_gmt":"2025-07-03 16:18:46","post_content":"The Turin Prostate Cancer Prognostication (TPCP) is an observational cohort study sponsored by the Department of Medical Sciences of the University of Turin, funded by the AIRC<\/strong> Foundation for Cancer Research, and started during 2021 at the AOU Citt\u00e0 della Salute e della Scienza di Torino.The TPCP study aims to develop, through a new integrated approach, a prognostic model for prostate cancer<\/strong> that can best guide the patient's treatment pathway.CRS4's role relates to fully anonymized image management and analysis of the study's digital slides through CRS4's Digital Pathology Platform<\/strong>, already the basis of international studies and research projects. In this study, in particular, the Platform will enable pathologists to examine and annotate digital slides, manually<\/strong> and with the support of automatic analysis tools based on artificial intelligence methods<\/strong>.","post_title":"DP AIRC","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"dp-airc","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:54","post_modified_gmt":"2026-04-02 10:32:54","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/dp-airc\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13305,"post_author":"4","post_date":"2025-07-03 18:19:01","post_date_gmt":"2025-07-03 16:19:01","post_content":"The BBMRI Common Service IT aims to:\n\n

  • Enable the findability <\/strong>of biobanking and biomolecular resources;<\/li>\n
  • Facilitate access <\/strong>to biobanks;<\/li>\n
  • Help biobanks in providing quality-defined samples & datasets;<\/li>\n
  • Support legal and ethical compliance<\/strong>;<\/li>\n
  • Support biobanks <\/strong>in implementing missing IT components.<\/li>\n\nThe project strives to achieve its objectives by defining neutral interfaces and data models to facilitate search, access, communication and interoperability across the European biobanking landscape. In addition, it provides open source reference implementations of these interfaces and data models, while also encouraging the BBMRI-ERIC community and private entities to contribute their own implementations that can be connected to the overall network.","post_title":"BBMRI CS IT","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"bbmri-cs-it","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:07","post_modified_gmt":"2026-04-02 10:33:07","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/bbmri-cs-it\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13312,"post_author":"4","post_date":"2025-07-03 18:19:10","post_date_gmt":"2025-07-03 16:19:10","post_content":"The European Joint Programme on Rare Diseases brings over 130 institutions from 35 countries<\/strong>: 27 EU Member States (Austria, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Croatia, Ireland, Italy, Netherlands, Latvia, Lithuania, Malta, Poland, Portugal, Romania, Spain, Sweden, Slovakia, Slovenia, United Kingdom), 7 associated (Armenia, Georgia, Israel, Norway, Serbia, Switzerland, Turkey) and Canada,\u00a0 to create a comprehensive,\u00a0sustainable ecosystem allowing a virtuous circle between research, care and medical innovation.<\/strong>\nAs recognized by the Council Recommendation 2009\/C 151\/02, rare diseases (RD) are a prime example of a research area that can strongly profit from coordination on a European and international scale. RD research should be improved to overcome fragmentation, leading to efficacious use of data and resources, faster scientific progress and competitiveness, and most importantly to decrease unnecessary hardship and prolonged suffering of RD patients.\nIn the specific context of the massive generation, need for reuse and efficient interpretation of data, introduction of omics into care practice and the structuration of RD care centers in European Reference Networks, it appears crucial and timely to maximize the potential of already funded tools and programmes by supporting them further, scaling up, linking, and most importantly, adapting them to the needs of end-users through implementation tests in real settings. To achieve this goal, the European Joint Programme on RD (EJP RD) has two major objectives:<\/strong>\n(i) To improve the integration, the efficacy, the production and the social impact of research on RD through the development, demonstration and promotion of Europe\/world-wide sharing of research and clinical data, materials, processes, knowledge and know-how;\n(ii) To implement and further develop an efficient model of financial support for all types of research on RD (fundamental, clinical, epidemiological, social, economic, health service) coupled with accelerated exploitation of research results for benefit of patients.","post_title":"EJP RD","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ejp-rd","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:15","post_modified_gmt":"2026-04-02 10:33:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/ejp-rd\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14968,"post_author":"4","post_date":"2025-07-03 18:19:38","post_date_gmt":"2025-07-03 16:19:38","post_content":"The I FAIR Programme \"Enhancement of Independent and FAIR Clinical Research\" is an initiative promoted by Sardegna Ricerche to introduce the FAIR data Principles (Findable, Accessible, Interoperable and Reusable) in regional clinical research projects.The Programme consists of two parts: the regional biomedical research registry and the I FAIR call. The registry will gather references to resources and data collected in independent clinical trials conducted in Sardinia. The call identifies an initial core of independent clinical studies to be indexed in the register and provides the studies with dual support, financial and technical-operational for study design (on bioethics, biostatistics and FAIR data).In the framework of the IFAIR Program, CRS4 is responsible for the realization of the registry of biomedical research in Sardinia and for the support to the researchers of the selected studies for the introduction to the application of the FAIR Guiding Principles.The I FAIR Programme \"Enhancement of Independent and FAIR clinical research\" is one of the actions promoted by Sardegna Ricerche within the themes identified by the S3 (Intelligent Specialisation Strategy of Sardinia) for the biomedicine sector and the development of the Biomed District, and is implemented in collaboration with the Department of Medical Sciences and Public Health of the University of Cagliari (Legal Medicine sector), the Department of Medical, Surgical and Experimental Sciences of the University of Sassari (Medical Statistics sector), and the Digital Health and Next Generation Sequencing Core groups of CRS4.I FAIR is funded with POR FESR Sardegna 2014 - 2020 funds.","post_title":"FAIR DATA","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"fair-data","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:33","post_modified_gmt":"2026-04-02 10:33:33","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/fair-data\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14972,"post_author":"4","post_date":"2025-07-03 18:19:40","post_date_gmt":"2025-07-03 16:19:40","post_content":"PATH combines automation technology, experience in proteomic and genomic diagnostics and expertise in the field of clinical informatics, in relation to processes and management of large amounts of biomedical data, to define enabling technologies that allow to substantially redesign the work paths of pathological anatomy laboratories in order to improve their productivity, and the quality of diagnosis and prognosis.\nThe main aim of the PATH project is to define enabling technologies that allow to substantially redesign the \"productive\" process of pathological anatomy laboratories. The mechanisms on which it proposes to act concern: the automation of the handling and storage of samples, in order to create chains such as Total Laboratory Automation for the pipelines of analysis; the traceability of samples and the efficient remote access to the results in order to ensure an efficient interface of the laboratory with external hospital facilities.\nThe various prototypes and the research and development activities related to them will demonstrate in a concrete way the possibility of extending to the field of pathological anatomy the ICT and process automation technologies already widespread and consolidated in other diagnostic sectors, such as laboratory analysis and radiology, despite the substantial differences in the process and the different clinical needs.\nIn addition to demonstrating the feasibility of this evolution in the field of pathological anatomy, it will be highlighted, through studies and some specific implementations, how this paradigm shift can lay the foundations for the near future of clinical diagnostics, creating the conditions for the creation of an integrated diagnostic laboratory (clinical chemistry\/pathological anatomy) that includes in the diagnostic workflow innovative methods such as genomics and proteomics procedures, with a view to progress towards personalized medicine.\nThe objectives considered are at the frontier of the state of the art for industrial research: the results of the activities will be specialized in oncology, but they are of general interest and the innovative models of activities in the field of health can be adopted and extended in other clinical contexts, also thanks to the use of open and interoperable technological solutions.\nThe training project, associated with the PATH research project, aims to train industrial researchers with specific skills in the most innovative aspects of modern digital medicine technologies such as: research and development of innovative systems of robotized management of samples for complex examinations on multiple markers and different diagnostic methods; techniques for integration of digital services for diagnostics with new experimental methods (high-processor sequencing, proteomics, genetic profiling); scalable methodologies of management, transfer, analysis and visualization of large moles of biomedical data.","post_title":"PATH","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"path","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:34","post_modified_gmt":"2026-04-02 10:33:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/path\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19603,"post_author":"4","post_date":"2025-07-03 18:21:07","post_date_gmt":"2025-07-03 16:21:07","post_content":"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.","post_title":"PREDICT DF","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"predict-df","to_ping":"","pinged":"","post_modified":"2026-04-02 12:34:54","post_modified_gmt":"2026-04-02 10:34:54","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/predict-df\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19619,"post_author":"4","post_date":"2025-07-03 18:21:37","post_date_gmt":"2025-07-03 16:21:37","post_content":"The CONNECT project aims to study and experiment with tools and paradigms based on the state of the art technology for real-time remote diagnosis in pediatric cardiology and other clinical disciplines in which the diagnostic phase is highly operator-dependent.","post_title":"CONNECT","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"connect","to_ping":"","pinged":"","post_modified":"2026-04-02 12:35:24","post_modified_gmt":"2026-04-02 10:35:24","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/connect\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19622,"post_author":"4","post_date":"2025-07-03 18:21:44","post_date_gmt":"2025-07-03 16:21:44","post_content":"In the Project, CRS4 will support the Consotium of the EU Project Cy-TEST<\/a> <\/strong>(2014-1-IT01-KA202-002607) for the realization of an innovative training system for cytology, based on technologies developed during the strategic Project Wellcome Trust Omero<\/a><\/strong> (Model driven data-management). The result will be a web platform for virtual microscopy images -- and bioimages in general -- distribution and e-learning specialized for cytologists. The infrastructure will be based on state-of-the-art opensource software: OMERO for digital pathology image management and MOODLE for the e-learning component.","post_title":"CYTEST","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"cytest","to_ping":"","pinged":"","post_modified":"2026-04-02 12:35:30","post_modified_gmt":"2026-04-02 10:35:30","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/cytest\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19645,"post_author":"4","post_date":"2025-07-03 18:22:24","post_date_gmt":"2025-07-03 16:22:24","post_content":"The MOST project aims to create a modular, scalable, open source framework for managing real-time medical teleconsultations. The framework will be based on a set of innovative technologies for real-time telemedicine developed by CRS4 and will provide the core technologies to enable the cluster participants to develop telemedicine applications in various clinical contexts (cardiology, emergency\/urgency, emodynamics, etc). The purpose of this project is to share the skills and technologies developed by CRS4 and the \u201ctelemedicine District-lab\u201d during the development of the REMOTE project, in order to encourage companies to invest in a high impact sector for regional and extra-regional medical supply chain. The project will focus on reengineering prototypes and tecnologies used in REMOTE project, on their abstraction and generalization for public releasing software modules and specific architectural solutions. The solutions can be used from cluster's companies as technical core for creating specific medical application based on real-time transmissions and collaborative analysis of audio\/video stream generated by medical devices. The modules will allow: - real-time recording and remote viewing of video and audio streams captured from heterogeneous medical devices; - the integration of a voice chat for real-time collaboration between multiple specialists or online training sessions; - the customization of a web application for managing patient and clinical data, remote teleconsultation and structured reporting of consultations. The code will be released under an open-source license and published online on one of the mostly used portals for source code sharing (GitHub, Sourceforge, etc..), allowing the growth of a community of users and contributors. The cluster\u2019s companies are going to make the base of the future community.","post_title":"MOST","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"most","to_ping":"","pinged":"","post_modified":"2026-04-02 12:36:13","post_modified_gmt":"2026-04-02 10:36:13","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/most\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19648,"post_author":"4","post_date":"2025-07-03 18:22:29","post_date_gmt":"2025-07-03 16:22:29","post_content":"Lo scopo di Inpeco e CRS4 nel progetto TRACE\u00a0 \u00e8 la realizzazione di un'infrastruttura adatta alla gestione ottimale di processi clinici, con esempi specifici nel campo dei processi di laboratorio, di somministrazione dei farmaci e di gestione dei campioni biologici.Questa infrastruttura prende il nome di TRACEABILITY FRAMEWORK\u00a0 e costituisce la base per lo sviluppo di nuove metodologie di tracciabilit\u00e0 degli atti medici, orientate completamente ai processi, che possano rispondere ai pi\u00f9 moderni requisiti di sicurezza per i pazienti ed agli standard richiesti nel settore.Grazie agli strumenti sviluppati all\u2019interno del TRACEABILITY FRAMEWORK e al know-how posseduto da Inpeco si svilupperanno gli strumenti software e hardware per rendere sicuri e tracciabili tre processi clinici ad alto rischio di errori: il laboratorio, la somministrazione dei farmaci ai pazienti ricoverati e la gestione e conservazione di campioni biologici a lungo termine (biobanche). Il Progetto include lo sviluppo di alcuni prototipi di dispositivi medicali come etichettatrici automatiche di provette, carrelli di reparto e biobanche robotizzate che consentiranno di aiutare il personale clinico coinvolto nei processi precedentemente elencati.Obiettivi:\u2022\u00a0\u00a0\u00a0 Linguaggi di modellazione. Studio dei linguaggi per la modellazione dei processi coinvolti e loro utilizzo nel contesto clinico per la creazione di modelli orientati alla tracciabilit\u00e0\u2022\u00a0\u00a0\u00a0 Interoperabilit\u00e0 per processi di laboratorio. Sviluppo e realizzazione di strumenti per l\u2019interoperabilit\u00e0 di sistemi diversi e per l\u2019inserimento di dispositivi per il prelievo nei contesti attuali delle strutture sanitarie;\u2022\u00a0\u00a0\u00a0 Nuovi modelli per la gestione di reparto. Studio e modellazione di processi alla base della gestione di reparto, per quello che riguarda la somministrazione dei farmaci e la connessione col laboratorio analisi;\u2022\u00a0\u00a0\u00a0 Nuovi modelli per la gestione dei campioni biologici. Studio e modellazione dei meccanismi di funzionamento e gestione delle biobanche, per valutare i passi necessari al loro inserimento nel funzionamento ordinario dei laboratori.","post_title":"TRACE","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"trace","to_ping":"","pinged":"","post_modified":"2026-04-02 12:36:19","post_modified_gmt":"2026-04-02 10:36:19","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/trace\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19691,"post_author":"4","post_date":"2025-07-03 18:23:55","post_date_gmt":"2025-07-03 16:23:55","post_content":"Resources and Organizational Models in Telecardiology\nIl progetto appartiene all\u2019area della ricerca sanitaria sull\u2019organizzazione e il funzionamento dei servizi e mirava a porre le basi per la creazione di un sistema per effettuare diagnosi cardiologiche a distanza, in tempo reale e sfruttando strumenti a basso costo. \nIl dominio clinico, la cardiologia pediatrica, ha una particolare valenza in Sardegna, dove le cardiopatie congenite (primaria causa di morte del neonato nei Paesi occidentali) hanno un\u2019incidenza pari al 2% dei nati vivi (normalmente l\u2019incidenza si assesta attorno all\u2019 1%). Le zone a maggior incidenza sono quelle interne e difficili da raggiungere, come il Nuorese e l\u2019Ogliastra, aree che proprio per le loro caratteristiche di isolamento beneficerebbero maggiormente della possibilit\u00e0 di effettuare consulti a distanza, con il supporto remoto di specialisti in tempo reale.\nIl progetto intendeva definire un modello tecnologico ed organizzativo finalizzato a far collaborare presidi sanitari geograficamente distanti durante esami diagnostici, garantendo la visualizzazione in tempo reale della scena dell\u2019esame e del video dell\u2019apparato diagnostico (in questo caso un ecografo), oltre a permettere allo stesso tempo l\u2019interazione vocale tra gli specialisti remoti.\nCome\u00a0 esperienza concreta con cui guidare la ricerca, si \u00e8 scelto di creare all\u2019interno del progetto un sistema sperimentale incentrato sulla Cardiologia Pediatrica dell\u2019Azienda Ospedaliera Brotzu come centro di alta specializzazione, l\u2019Azienda Mista di Cagliari (patologia neonatale e puericultura) e l\u2019Azienda Ospedaliera N.4 di Lanusei (cardiologia) come centri periferici. \n\n ","post_title":"REMOTE","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"remote","to_ping":"","pinged":"","post_modified":"2026-04-02 12:37:30","post_modified_gmt":"2026-04-02 10:37:30","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/remote\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19695,"post_author":"4","post_date":"2025-07-03 18:23:59","post_date_gmt":"2025-07-03 16:23:59","post_content":"Industrial project devoted to research, development and training in the field of clinical domain integration and traceability.","post_title":"TH","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"th","to_ping":"","pinged":"","post_modified":"2026-04-02 12:37:36","post_modified_gmt":"2026-04-02 10:37:36","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/th\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":602543,"post_author":"4","post_date":"2026-04-02 12:32:21","post_date_gmt":"2026-04-02 10:32:21","post_content":"The project\u2019s activities form part of the Strengthening BBMRI.it project, funded by the European Union\u2019s Next Generation Europe initiative and led by the Italian National Node (BBMRI.it) of BBMRI-ERIC. Specifically, the objectives of Work Package 2, dedicated to the Ethical, Legal and Social Implications (ELSI) infrastructure, include the development of a pilot project designed to:1.\u00a0 \u00a0 dynamically integrate participants\u2019 informed consent, represented using the international Common Conditions of Use Elements (CCE) terminology;2.\u00a0 \u00a0 develop and co-create a BBMRI app for digital consent\/assent;\u00a03.\u00a0 \u00a0 characterise biobank samples using ELSI metadata (participants\u2019 pseudonymised preferences translated into CCE) in an interoperable format;4.\u00a0 \u00a0 provide a bidirectional digital interface between citizen-participants and biobanks, created in collaboration with the BBMRI community (including doctors, data protection officers and representatives of patients, citizens and mature minors);5.\u00a0 \u00a0 define strategies and tools for a future extension of the results of the Italian pilot project beyond national borders, integrating ELSI metadata within the BBMRI-ERIC Federated Platform (FP), in particular within the Locator system.The project focuses on the final point and aims to develop models and tools for exporting consent preferences, based on CCEs, from research biobank IT management systems (Biobank IT Management System \u2013 BIMS), in standard formats compatible with the BBMRI-ERIC Federated Platform.","post_title":"BBMRI.it Consent","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"bbmri-it-consent","to_ping":"","pinged":"","post_modified":"2026-04-02 12:39:58","post_modified_gmt":"2026-04-02 10:39:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/bbmri-it-consent\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"}],"team_members":[{"ID":12560,"post_author":"4","post_date":"2025-07-03 18:17:42","post_date_gmt":"2025-07-03 16:17:42","post_content":"H2UB is intended to be a Life Science infrastructure aimed at fostering new drug development through a network of laboratories capable of providing basic, translational and preclinical research support using cutting-edge technologies.\nGovernance of the Hub will be centralized and will provide support in regulatory, ethics and management, as well as organizational and dissemination. Expertise will be articulated in thematic platforms that will include:\n