{"id":19622,"date":"2025-07-03T18:21:44","date_gmt":"2025-07-03T16:21:44","guid":{"rendered":"https:\/\/www.crs4.it\/projects\/cytest\/"},"modified":"2026-04-02T12:35:30","modified_gmt":"2026-04-02T10:35:30","slug":"cytest","status":"publish","type":"projects","link":"https:\/\/www.crs4.it\/en\/projects\/cytest\/","title":{"rendered":"CYTEST"},"content":{"rendered":"<p>In the Project, CRS4 will support the Consotium of the EU Project <strong><a>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 <strong><a>Omero<\/a><\/strong> (Model driven data-management). The result will be a web platform for virtual microscopy images &#8212; and bioimages in general &#8212; 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.<\/p>\n","protected":false},"featured_media":11806,"template":"","meta":{"_acf_changed":false},"gruppo":[],"class_list":["post-19622","projects","type-projects","status-publish","has-post-thumbnail","hentry"],"acf":{"title":"Cy-TEST - e-learning system for cytology","acronym":"CYTEST","project_uuid":"e3aa4b9a-72c2-1033-95fe-0030485a3848","start_date":"01\/08\/2015","end_date":"31\/12\/2016","funder":"COREP","partners":"","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":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":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":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>CYTEST - 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\/projects\/cytest\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CYTEST - CRS4\" \/>\n<meta property=\"og:description\" content=\"In the Project, CRS4 will support the Consotium of the EU Project Cy-TEST (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 (Model driven data-management). 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