{"id":12707,"date":"2025-07-03T18:18:46","date_gmt":"2025-07-03T16:18:46","guid":{"rendered":"https:\/\/www.crs4.it\/projects\/dp-airc\/"},"modified":"2026-04-02T12:32:54","modified_gmt":"2026-04-02T10:32:54","slug":"dp-airc","status":"publish","type":"projects","link":"https:\/\/www.crs4.it\/en\/projects\/dp-airc\/","title":{"rendered":"DP AIRC"},"content":{"rendered":"

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>.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-12707","projects","type-projects","status-publish","hentry","gruppo-data-intensive-computing-en"],"acf":{"title":"Improving prostate cancer prognostication through an integrated approach","acronym":"DP AIRC","project_uuid":"013b3e46-dda4-11eb-a50b-506b8d36975d","start_date":"27\/07\/2021","end_date":"26\/07\/2025","funder":"Universit\u00e0 degli Studi di Torino, finanziamento dalla Fondazione AIRC per la Ricerca sul Cancro (IG2020-ID. 24818)","partners":"\n\n \n \n \n \n \n \n \n \n
Nome<\/th>\n Nazione<\/th>\n Ruolo<\/th>\n <\/tr>\n\n
Dipartimento di Scienze Mediche dell'Universit\u00c3\u00a0 degli Studi di Torino<\/a><\/td>\n Italy<\/td>\n Partner<\/td>\n <\/tr>\n\n
Azienda Ospedaliero-Universitaria Citt\u00c3\u00a0 della Salute e della Scienza di Torino<\/a><\/td>\n Italy<\/td>\n Partner<\/td>\n <\/tr>\n\n
Centro di Riferimento per l'Epidemiologia e la Prevenzione Oncologica in Piemonte<\/a><\/td>\n Italy<\/td>\n Partner<\/td>\n <\/tr>\n\n
High Performance Computing for Artificial Intelligence (HPC4AI)<\/a><\/td>\n Italy<\/td>\n Partner<\/td>\n <\/tr>\n\n
Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale dell'Universit\u00c3\u00a0 di Bologna<\/a><\/td>\n Italy<\/td>\n Partner<\/td>\n <\/tr>\n\n
Azienda Unit\u00c3\u00a0 Sanitaria Locale di Bologna <\/a><\/td>\n Italy<\/td>\n Partner<\/td>\n <\/tr>\n\n
Azienda Ospedaliero-Universitaria di Bologna Policlinico Sant'Orsola-Malpighi<\/a><\/td>\n Italy<\/td>\n Partner<\/td>\n <\/tr>\n<\/table>","proj_website":"https:\/\/sites.google.com\/view\/studio-tpcp\/home","project_status":"Execution","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"},{"ID":10066,"post_author":"4","post_date":"2025-06-30 17:25:33","post_date_gmt":"2025-06-30 15:25:33","post_content":"Luca Pireddu earned his degree in Computing Science in 2003 from Laurentian University in Sudbury, Canada. Here he also started his research work joining MIRARCO in 2002, where he completed his undergraduate thesis on computational methods to optimize underground mine plans. He later pursued graduate studies at the University of Alberta, Canada, receiving his M.Sc. in Computing Science in 2006 with a thesis on predicting biological pathways by proteome analysis - a project that he continued as a researcher at U. of A. after his studies. After a stint in the private sector, Luca joined CRS4, where he currently works with the Visual and Data-Intensive Computing group. He has coordinated CRS4's participation in several EU, national and regional research projects in the area of novel development and application of data processing, analysis and management techniques to concrete problems in several fields of interest - particularly, bioinformatics, biomedical research and urban computing. He is particularly interested in techniques for facilitating scalability of complex computational scientific workflows, secure and scalable methods to leverage sensitive data collections, and data and workflow re-use through the application of FAIR principles. He represents CRS4 at the Italian nodes of the BBMRI-ERIC and ELIXIR EU Research Infrastructures and at the Data, AI and Robotics (DAIRO) Association (ex BDVA).","post_title":"Luca Pireddu","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"luca-pireddu","to_ping":"","pinged":"","post_modified":"2026-04-05 20:13:32","post_modified_gmt":"2026-04-05 18:13:32","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/luca-pireddu\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}],"team_members":[{"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":10164,"post_author":"4","post_date":"2025-06-30 17:22:14","post_date_gmt":"2025-06-30 15:22:14","post_content":"Giovanni Busonera received his M.Sc. in Electronic Engineering from the University of Cagliari in 2004 and the Ph.D. in Electronic Engineering and Computer Science from the same University in 2008. Since 2008 he works at CRS4 as a researcher. His research interests concerned mainly virtualization, distributed programming and hardware acceleration for parallel computing by using GPGPU and FPGA devices. Before joining CRS4, he worked in the Microsoft Research Embedded Group in Redmond developing eBug, a software debugging support for the dynamically reconfigurable processor eMIPS. He also worked on the development of a haplotyping algorithm to perform multi-marker genome wide association study (GWAS). Currently his work deals with signal processing and data analysis for biomedical applications and statistical methods for network traffic modeling.","post_title":"Giovanni Busonera","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"giovanni-busonera","to_ping":"","pinged":"","post_modified":"2026-04-05 20:10:20","post_modified_gmt":"2026-04-05 18:10:20","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/giovanni-busonera\/","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":9959,"post_author":"4","post_date":"2025-06-30 17:26:39","post_date_gmt":"2025-06-30 15:26:39","post_content":"I'm a computer scientist and my areas of expertise are HPC, bigdataprocessing and machine learning, with scalability as a common thread.I have a background on parallel computing and foundational problemsmotivated by HPC, which I investigated during my PhD and during myyears as a PostDoc in Vienna.In the latest years I have worked, at the CRS4 research center, tobuild efficient and scalable bigdata and machine learning workflows. Ihave worked with streams of genomic and industrial data (using ApacheKafka and Flink as tools) and, within the DeepHealth European project,to the classification of gigapixel medical images, using bothTensorflow and the specialized EDDL ML library. In this context I havea built a scalable pipeline to efficiently manage datasets via the useof Apache Spark and Cassandra.","post_title":"Francesco Versaci","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"francesco-versaci","to_ping":"","pinged":"","post_modified":"2026-04-05 20:14:25","post_modified_gmt":"2026-04-05 18:14:25","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/francesco-versaci\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"\nDP AIRC - 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\/dp-airc\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DP AIRC - CRS4\" \/>\n<meta property=\"og:description\" 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 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 […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.crs4.it\/en\/projects\/dp-airc\/\" \/>\n<meta property=\"og:site_name\" content=\"CRS4\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/pages\/CRS4\/153623948010688\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-02T10:32:54+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.crs4.it\/en\/projects\/dp-airc\/\",\"url\":\"https:\/\/www.crs4.it\/en\/projects\/dp-airc\/\",\"name\":\"DP AIRC - CRS4\",\"isPartOf\":{\"@id\":\"https:\/\/www.crs4.it\/en\/#website\"},\"datePublished\":\"2025-07-03T16:18:46+00:00\",\"dateModified\":\"2026-04-02T10:32:54+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.crs4.it\/en\/projects\/dp-airc\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.crs4.it\/en\/projects\/dp-airc\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.crs4.it\/en\/projects\/dp-airc\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.crs4.it\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Projects\",\"item\":\"https:\/\/www.crs4.it\/en\/projects\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"DP AIRC\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.crs4.it\/en\/#website\",\"url\":\"https:\/\/www.crs4.it\/en\/\",\"name\":\"CRS4\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/www.crs4.it\/en\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.crs4.it\/en\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.crs4.it\/en\/#organization\",\"name\":\"CRS4\",\"url\":\"https:\/\/www.crs4.it\/en\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.crs4.it\/en\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.crs4.it\/wp-content\/uploads\/CRS4.trentennale_3.png\",\"contentUrl\":\"https:\/\/www.crs4.it\/wp-content\/uploads\/CRS4.trentennale_3.png\",\"width\":1518,\"height\":577,\"caption\":\"CRS4\"},\"image\":{\"@id\":\"https:\/\/www.crs4.it\/en\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/pages\/CRS4\/153623948010688\",\"https:\/\/www.instagram.com\/crs4.it\/\",\"https:\/\/www.youtube.com\/CRS4video\",\"https:\/\/www.linkedin.com\/company\/crs4\",\"https:\/\/www.slideshare.net\/CRS4\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"DP AIRC - CRS4","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.crs4.it\/en\/projects\/dp-airc\/","og_locale":"en_US","og_type":"article","og_title":"DP AIRC - CRS4","og_description":"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 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 […]","og_url":"https:\/\/www.crs4.it\/en\/projects\/dp-airc\/","og_site_name":"CRS4","article_publisher":"https:\/\/www.facebook.com\/pages\/CRS4\/153623948010688","article_modified_time":"2026-04-02T10:32:54+00:00","twitter_card":"summary_large_image","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.crs4.it\/en\/projects\/dp-airc\/","url":"https:\/\/www.crs4.it\/en\/projects\/dp-airc\/","name":"DP AIRC - CRS4","isPartOf":{"@id":"https:\/\/www.crs4.it\/en\/#website"},"datePublished":"2025-07-03T16:18:46+00:00","dateModified":"2026-04-02T10:32:54+00:00","breadcrumb":{"@id":"https:\/\/www.crs4.it\/en\/projects\/dp-airc\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.crs4.it\/en\/projects\/dp-airc\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.crs4.it\/en\/projects\/dp-airc\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.crs4.it\/en\/"},{"@type":"ListItem","position":2,"name":"Projects","item":"https:\/\/www.crs4.it\/en\/projects\/"},{"@type":"ListItem","position":3,"name":"DP AIRC"}]},{"@type":"WebSite","@id":"https:\/\/www.crs4.it\/en\/#website","url":"https:\/\/www.crs4.it\/en\/","name":"CRS4","description":"","publisher":{"@id":"https:\/\/www.crs4.it\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.crs4.it\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.crs4.it\/en\/#organization","name":"CRS4","url":"https:\/\/www.crs4.it\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.crs4.it\/en\/#\/schema\/logo\/image\/","url":"https:\/\/www.crs4.it\/wp-content\/uploads\/CRS4.trentennale_3.png","contentUrl":"https:\/\/www.crs4.it\/wp-content\/uploads\/CRS4.trentennale_3.png","width":1518,"height":577,"caption":"CRS4"},"image":{"@id":"https:\/\/www.crs4.it\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/pages\/CRS4\/153623948010688","https:\/\/www.instagram.com\/crs4.it\/","https:\/\/www.youtube.com\/CRS4video","https:\/\/www.linkedin.com\/company\/crs4","https:\/\/www.slideshare.net\/CRS4"]}]}},"_links":{"self":[{"href":"https:\/\/www.crs4.it\/en\/wp-json\/wp\/v2\/projects\/12707","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.crs4.it\/en\/wp-json\/wp\/v2\/projects"}],"about":[{"href":"https:\/\/www.crs4.it\/en\/wp-json\/wp\/v2\/types\/projects"}],"version-history":[{"count":39,"href":"https:\/\/www.crs4.it\/en\/wp-json\/wp\/v2\/projects\/12707\/revisions"}],"predecessor-version":[{"id":602577,"href":"https:\/\/www.crs4.it\/en\/wp-json\/wp\/v2\/projects\/12707\/revisions\/602577"}],"wp:attachment":[{"href":"https:\/\/www.crs4.it\/en\/wp-json\/wp\/v2\/media?parent=12707"}],"wp:term":[{"taxonomy":"gruppo","embeddable":true,"href":"https:\/\/www.crs4.it\/en\/wp-json\/wp\/v2\/gruppo?post=12707"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}