{"id":10208,"date":"2025-06-30T17:22:43","date_gmt":"2025-06-30T15:22:43","guid":{"rendered":"https:\/\/www.crs4.it\/people\/mauro-del-rio\/"},"modified":"2026-04-05T19:10:52","modified_gmt":"2026-04-05T17:10:52","slug":"mauro-del-rio","status":"publish","type":"people","link":"https:\/\/www.crs4.it\/en\/people\/mauro-del-rio\/","title":{"rendered":"Mauro Del Rio"},"content":{"rendered":"<p>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.<\/p>\n","protected":false},"featured_media":4170,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-10208","people","type-people","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"name":"Mauro","surname":"Del Rio","email":"mauro@crs4.it","phone":"","user_uuid":"e3c3eaea-99fc-1032-95fe-0030485a3848","personal_page":"","google_scholar_id":"","position":"Technologist","microsoft_academic_id":"","project_coordinator":[{"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"}],"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":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":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 <strong>AIRC<\/strong> Foundation for Cancer Research, and started during 2021 at the AOU Citt\u00e0 della Salute e della Scienza di Torino.<br\/>The TPCP study <strong>aims to develop, through a new integrated approach, a prognostic model for prostate cancer<\/strong> that can best guide the patient's treatment pathway.<br\/>CRS4's role relates to fully anonymized image management and analysis of the study's digital slides through <strong>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 <strong>examine and annotate digital slides, manually<\/strong> and with the support of automatic analysis tools based on <strong>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":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":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":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":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.<br\/>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.<br\/>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.<br\/>Obiettivi:<br\/>\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<br\/>\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;<br\/>\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;<br\/>\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"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Mauro Del Rio - 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\/mauro-del-rio\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mauro Del Rio - CRS4\" \/>\n<meta property=\"og:description\" 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. 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