{"id":10285,"date":"2025-06-30T17:24:17","date_gmt":"2025-06-30T15:24:17","guid":{"rendered":"https:\/\/www.crs4.it\/people\/cecilia-mascia\/"},"modified":"2026-04-05T19:12:23","modified_gmt":"2026-04-05T17:12:23","slug":"cecilia-mascia","status":"publish","type":"people","link":"https:\/\/www.crs4.it\/en\/people\/cecilia-mascia\/","title":{"rendered":"Cecilia Mascia"},"content":{"rendered":"<p>Cecilia Mascia got her master&#8217;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.<\/p>\n","protected":false},"featured_media":4130,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-10285","people","type-people","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"name":"Cecilia","surname":"Mascia","email":"cmascia@crs4.it","phone":"","user_uuid":"b518b102-d1b1-1032-95fe-0030485a3848","personal_page":"","google_scholar_id":"","position":"Technologist","project_coordinator":"","microsoft_academic_id":"","team_members":[{"ID":12561,"post_author":"4","post_date":"2025-07-03 18:17:44","post_date_gmt":"2025-07-03 16:17:44","post_content":"The LIFEMap Project \"From Pediatric Pathology to Cardiovascular and Neoplastic Diseases in Adults: Genomic Mapping for Personalized Medicine and Prevention\" - Trajectory 3 of the Operational Health Plan of the Ministry of Health - aims to identify pathological and sub-pathological conditions in children and\/or predictive genetic profiles associated with an increased risk of serious diseases in adults, taking into account environmental risk factors to develop personalized therapy and prevention plans for both children and adults.\n\u00a0For this purpose, the following will be undertaken:\n\n<li>Development of a federated database for the integration of genomic and phenotypic data;<\/li>\n<li>Utilization of a dataset (\u22655,000 patients) comprising clinical, genomic, and environmental (lifestyle) data for AI analysis;<\/li>\n<li>Recruitment of new cases, both pediatric and adult (5,000 patients), with detailed clinical characterization;<\/li>\n<li>Development of a scalable and reusable platform for the analysis and sharing of new data (1,400 WGS, 3,600 SNP);<\/li>\n<li>Identification of a series of genetic variants and profiles associated with the risk of developing obesity, chronic inflammatory diseases, pediatric neoplasms, and their complications in adulthood;<\/li>\n<li>Development of an AI analysis framework and application of Deep Learning for Network Medicine;<\/li>\n<li>Implementation of a biobank of samples, potentially reusable beyond the project's completion.<\/li>\n\nCRS4 will take part in the project with the following activities:\n<ul>\n<li>Whole Genome Sequencing on approximately 1,000 samples;<\/li>\n<li>development of scalable and reusable platforms for WGS data analysis for variant identification;<\/li>\n<li>genomic data modeling, standardization and sharing in international reference platforms;<\/li>\n<li>application of scalable platforms for WGS analysis and data sharing;<\/li>\n<li>scientific dissemination.<\/li>\n<\/ul>\n<ul>\n<\/ul>","post_title":"LIFEMAP","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"lifemap","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:01","post_modified_gmt":"2026-04-02 10:32:01","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/lifemap\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"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 <em>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:\n<a>https:\/\/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.<br\/>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.<br\/>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":12717,"post_author":"4","post_date":"2025-07-03 18:18:55","post_date_gmt":"2025-07-03 16:18:55","post_content":"In the field of neuroscience, a central focus is on examining the anatomical and functional organization of the cerebral cortex, particularly in humans and primates. In order to gather a deep understanding, data coming from non-invasive imaging techniques, such as PET, fMRI, and dMRI, is often combined with data coming from invasive experimental procedures capable of providing morphological, anatomical, and electrophysiological information. While non-invasive whole-brain imaging offers 3D information at a macro-scale, invasive procedures involve small-scale analysis of multiple 2D images or of 3D reconstructions obtained from slices.\n\u00a0\nThe project aims to introduce novel visual and data-intensive methods to enhance the understanding of data from such studies. Addressing key aspects in the analysis of neural data, the focus will be on novel methods for multi-layered visualization and manipulation of sets of possibly annotated 2D slices, with special emphasis on data stemming from the analysis of brain sections, and on novel methods for exploring fused 3D brain data at multiple scales, primarily concentrating on the combination of registered multi-labeled neurons, segmented cortical surfaces, and massive tractograms.\n\u00a0\nThe project is developed in collaboration with Spoke 1 (University of Parma) of the MNESYS Extended Partnership focused on Neuroscience and Neuropharmacology.","post_title":"XNAB","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"xnab","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:00","post_modified_gmt":"2026-04-02 10:33:00","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/xnab\/","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<li>Enable the <strong>findability <\/strong>of biobanking and biomolecular resources;<\/li>\n<li>Facilitate <strong>access <\/strong>to biobanks;<\/li>\n<li>Help biobanks in providing quality-defined samples &amp; datasets;<\/li>\n<li>Support <strong>legal and ethical compliance<\/strong>;<\/li>\n<li><strong>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":13311,"post_author":"4","post_date":"2025-07-03 18:19:06","post_date_gmt":"2025-07-03 16:19:06","post_content":"BeYond-COVID (BY-COVID) aims to provide comprehensive open data on  SARS-CoV-2 and other infectious diseases across scientific, medical,  public health and policy domains. It will strongly emphasise mobilising  raw viral sequences, helping to identify and monitor the spread of  SARS-CoV-2 variants. The project will further accelerate access to  SARS-CoV-2 and COVID-19 and linking patient and research data.\nTo  ensure interoperability of national and global efforts, BY-COVID will  enable federated data analysis compliant with data protection  regulations, harmonise and manage metadata and sample identifiers, and  facilitate long-term cataloguing.\nBY-COVID will build on the  One-Health approach, exploit and contribute to the European Open Science  Cloud and work closely with the ISIDORe project funded through HORIZON  Europe.\nThe project will integrate established national and  European infrastructures with ELIXIR, BBMRI, ECRIN, PHIRI and CESSDA. It  will build on existing efforts, such as the COVID-19 Data Platform and  the Versatile Emerging infectious disease Observatory project (VEO),  maximising efficiency. It will also develop synergies with the European  Health Data Space.\nIn an unprecedented and unique  interdisciplinary effort, BY-COVID will bring together 53 partners from  19 countries and stakeholders from the biomedical field, hospitals,  public health, social sciences and humanities.\nUltimately, it will  improve European readiness for future pandemics, enhance genomic  surveillance and rapid-response capabilities. In addition, BY-COVID  serves as a demonstrator of interdisciplinary work across country  borders. The project's outputs will allow scientists across multiple  domains, including SMEs and industry, to access varied data with the  potential to generate new knowledge on infectious diseases.","post_title":"BY-COVID","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"by-covid","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:13","post_modified_gmt":"2026-04-02 10:33:13","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/by-covid\/","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":"<strong>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 <strong>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 <strong>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":14761,"post_author":"4","post_date":"2025-07-03 18:19:29","post_date_gmt":"2025-07-03 16:19:29","post_content":"The 13 <a>ESFRI<\/a> research infrastructures in the <a>Health and Food domain<\/a> in March 2019 started the EOSC-Life project to create an open collaborative  digital space for life science in the European Open Science Cloud  (EOSC).\nLife science research directly addresses key societal challenges and  drives the bio-economy. To keep European Life Science at the forefront  of global advances and to deepen our understanding of life and disease,  the data, digital services and advanced facilities vital for life  science research must be findable, accessible, interoperable, reusable  (FAIR) across scientific disciplines and national boundaries. FAIR data  and services improves reproducibility of biomedical research, drives new  scientific discoveries and enables any researcher in Europe and across  the world to access and use them.\nIn EOSC-Life the research infrastructures will publish data from  facilities and data resources in the EOSC and link these FAIR databases  to open and reusable tools and workflows accessible to users via  Europe\u2019s national and international life-science clouds. EOSC-Life will  also connect users across Europe to a single login authentication and  resource authorisation system and develop data policies needed to  preserve and deepen the trust given by research participants and  patients volunteering their data and samples.\nEOSC-Life project is coordinated by ELIXIR, the ESFRI Research  Infrastructure for biological data. The consortium of 13 Research  Infrastructures cover all aspects of life science research and all life  science domains.\n<strong>Some Figures<\/strong><br\/> EOSC-Life brings together the 13 research infrastructures in the Health and Food domain of the ESFRI Roadmap\u00a0<br\/><strong>Project Duration:\u00a0<\/strong>48 mesi<br\/><strong>Partners: <\/strong>46 Partners, 17 Linked Third parties, 12 Third parties<br\/><strong>Resources:\u00a0<\/strong>23.7 M\u20ac, 11 Work Packages, 34 Deliverables","post_title":"EOSC Life","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"eosc-life","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:25","post_modified_gmt":"2026-04-02 10:33:25","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/eosc-life\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14965,"post_author":"4","post_date":"2025-07-03 18:19:37","post_date_gmt":"2025-07-03 16:19:37","post_content":"The project aims to consolidate and develop integrated and interoperable technologies for digital medicine able to support complex diagnostic and\/or experimental processes, integrating heterogeneous data from different sources (e.g., clinical databases, genomic analysis pipelines, molecular biology systems), according to the main international standards and guidelines. In this context, particular efforts will be targeting digital pathology tools and techniques.","post_title":"PAM","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"pam","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:31","post_modified_gmt":"2026-04-02 10:33:31","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/pam\/","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.<br\/>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).<br\/>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.<br\/>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.<br\/><br\/>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.\n<br\/>The 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.\n<br\/>The 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.\n<br\/>The 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":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":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:<br\/>1.\u00a0 \u00a0 dynamically integrate participants\u2019 informed consent, represented using the international Common Conditions of Use Elements (CCE) terminology;<br\/>2.\u00a0 \u00a0 develop and co-create a BBMRI app for digital consent\/assent;\u00a0<br\/>3.\u00a0 \u00a0 characterise biobank samples using ELSI metadata (participants\u2019 pseudonymised preferences translated into CCE) in an interoperable format;<br\/>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);<br\/>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.<br\/><br\/><br\/>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.<br\/><br\/>","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"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Cecilia Mascia - CRS4<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.crs4.it\/en\/people\/cecilia-mascia\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cecilia Mascia - CRS4\" \/>\n<meta property=\"og:description\" content=\"Cecilia Mascia got her master&#8217;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. 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