{"id":10259,"date":"2025-06-30T17:23:44","date_gmt":"2025-06-30T15:23:44","guid":{"rendered":"https:\/\/www.crs4.it\/people\/luca-lianas\/"},"modified":"2026-04-05T20:11:51","modified_gmt":"2026-04-05T18:11:51","slug":"luca-lianas","status":"publish","type":"people","link":"https:\/\/www.crs4.it\/en\/people\/luca-lianas\/","title":{"rendered":"Luca Lianas"},"content":{"rendered":"<p>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&#8217; development from annotated images (DeepHealth).<\/p>\n","protected":false},"featured_media":4144,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-10259","people","type-people","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"name":"Luca","surname":"Lianas","email":"luca.lianas@crs4.it","phone":"","user_uuid":"e3c3c4d4-99fc-1032-95fe-0030485a3848","personal_page":"","google_scholar_id":"https:\/\/scholar.google.com\/citations?user=VkzSVjIAAAAJ","position":"Technologist","project_coordinator":"","microsoft_academic_id":"","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<ul>\n<li>basic research (biobanks of iPS and organoids as models of pathology; identification of specific molecular targets; fabrication of bio-electronic systems for drug evaluation);\u00a0<\/li>\n<li>pre-clinical research (animal models, identification and validation of disease biomarkers through computational data analysis, pharmacodynamics);<\/li>\n<li>new drug development (manufacturing, safety monitoring, specificity and formulation);<\/li>\n<li>clinical consulting.\u00a0<\/li>\n<\/ul>\nH2UB meets the need to manage and develop research infrastructure of high complexity. Its value is measured not only in the list of resources and services made available but also as a space where researchers can be stimulated to improve the way they do research by providing expertise, technology, and managerial support.\n\u00a0\nCRS4 will contribute to the:\n<ul>\n<li>implementation and validation of innovative technology platforms for Drug Screening through the definition of genomic and epigenomic targets to be evaluated and the validation of results using genomic techniques;<\/li>\n<li>study, development and implementation of flexible and scalable tools for computational pathology;<\/li>\n<li>developing of molecular modeling tools, to be implemented in the computing platform, with reference to the druggability of molecules and potential drugs on specific therapeutic targets;<\/li>\n<li>organization of training activities and schools on molecular modeling and metabolomics.<\/li>\n<\/ul>","post_title":"H2UB","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"h2ub","to_ping":"","pinged":"","post_modified":"2026-04-02 12:31:59","post_modified_gmt":"2026-04-02 10:31:59","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/h2ub\/","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":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 <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 -- 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.<br\/>","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":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"},{"ID":19739,"post_author":"4","post_date":"2025-07-03 18:25:26","post_date_gmt":"2025-07-03 16:25:26","post_content":"TAIC Project arises from the collaboration, active from July 2006 to May 2009, between CRS4 Biomedical Computing Group and Azienda Ospedaliera 'G.Brotzu', the most important high specialization hospital in Sardinia. The project results are in different fields, from the reorganization of the hospital's computing infrastructure to integration between applications, from the creation of new services for the personnel to the optimization of processes. TAIC Project is an example of know how and experiences of a research group directly applied in a real clinical contest: this operation led to an effective technology transfer, giving to concrete needs solutions based on methods and technologies at the state of the art.","post_title":"TAIC","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"taic","to_ping":"","pinged":"","post_modified":"2026-04-02 12:38:39","post_modified_gmt":"2026-04-02 10:38:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/taic\/","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>Luca Lianas - 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\/luca-lianas\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Luca Lianas - CRS4\" \/>\n<meta property=\"og:description\" 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 [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.crs4.it\/en\/people\/luca-lianas\/\" \/>\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=\"2026-04-05T18:11:51+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.crs4.it\/wp-content\/uploads\/lianas-luca.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"180\" \/>\n\t<meta property=\"og:image:height\" content=\"180\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\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\/people\/luca-lianas\/\",\"url\":\"https:\/\/www.crs4.it\/en\/people\/luca-lianas\/\",\"name\":\"Luca Lianas - 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