{"id":19708,"date":"2025-07-03T18:24:27","date_gmt":"2025-07-03T16:24:27","guid":{"rendered":"https:\/\/www.crs4.it\/projects\/predict\/"},"modified":"2026-04-02T12:37:53","modified_gmt":"2026-04-02T10:37:53","slug":"predict","status":"publish","type":"projects","link":"https:\/\/www.crs4.it\/en\/projects\/predict\/","title":{"rendered":"PREDICT"},"content":{"rendered":"

Many drugs fail to reach the market because of side effects on the heart. The principal objective of this proposal is to create an advanced computational technology for in silico assessment of the efficacy and safety of specific drugs [ICT-2007.5.3(c) (3)], i.e. an open environment comprising validated computational models, tools and numerical methods that will enable simulations of drug actions on the electrophysiology of the human heart.<\/p>\n

Such simulations will involve modelling of drug interactions at the molecular and cellular level, will extend current technology to enable prediction of the effects of those interactions on the dynamics of the whole heart, and will lead to an understanding of how genetic factors can be used to assess patient-specific risk profiles. This requires a multi-level systems approach, based on multi-scale, multi-physics methods, including computations on adaptive spatial grids and multi-grid time integration. Computations on realistic models at appropriate spatial and temporal scales are currently not feasible, so we will investigate new algorithms and their implementation on high-performance platforms, including a new generation of petaflop computers, to achieve ‘faster than real-time’ simulation.<\/p>\n

These tools form part of the infrastructure required to simulate the physiology of major organ systems, thereby contributing to the goal of creating the Virtual Physiological Human (VPH) [ICT-2007.5.3]. The balanced team in this project, including founders of the Human Physiome Project, has decades of experience in the experimental study and modelling of the electrophysiology and mechanics of the heart, while pharmaceutical industry partners bring deep understanding of the mechanisms of drug actions. The results will demonstrate the value of the VPH initiative to fundamental scientific understanding of the heart, with major economic and clinical impacts through accelerated drug development, approval and use.<\/p>\n","protected":false},"featured_media":11777,"template":"","meta":{"_acf_changed":false},"gruppo":[],"class_list":["post-19708","projects","type-projects","status-publish","has-post-thumbnail","hentry"],"acf":{"title":"Computational Prediction of Drug Cardiac Toxicity","acronym":"PREDICT","project_uuid":"61827a20-b567-1032-95fe-0030485a3848","start_date":"01\/06\/2008","end_date":"31\/05\/2011","funder":"EU FP7","partners":"\n\n \n \n \n \n \n \n \n \n
Nome<\/th>\n Nazione<\/th>\n Ruolo<\/th>\n <\/tr>\n\n
University of Oxford<\/a><\/td>\n United Kingdom<\/td>\n Coordinator<\/td>\n <\/tr>\n\n
Aureus Sciences <\/a><\/td>\n France<\/td>\n Contractor<\/td>\n <\/tr>\n\n
F. Hoffmann-La Roche Ltd<\/a><\/td>\n Switzerland<\/td>\n Contractor<\/td>\n <\/tr>\n\n
Novartis Pharma<\/a><\/td>\n Switzerland<\/td>\n Contractor<\/td>\n <\/tr>\n\n
University of Szeged <\/a><\/td>\n Hungary<\/td>\n Contractor<\/td>\n <\/tr>\n\n
Fujitsu Laboratories of Europe<\/a><\/td>\n United Kingdom<\/td>\n Contractor<\/td>\n <\/tr>\n\n
Glaxo Smith Kline Research and Development<\/a><\/td>\n United Kingdom<\/td>\n Contractor<\/td>\n <\/tr>\n<\/table>","project_coordinator":[],"proj_website":"http:\/\/www.vph-predict.eu\/","project_status":"Completed","team_members":[{"ID":10264,"post_author":"4","post_date":"2025-06-30 17:23:51","post_date_gmt":"2025-06-30 15:23:51","post_content":"Fabio Maggio is a senior researcher and Permanent Project Leader (PPL) of the Digital Technologies for Aerospace sector. His focus lies within digital agriculture and precision farming, which he explores through three foundational and interconnected ICT technologies: AI, big data, and robotics.Data pertaining to agriculture reaches CRS4 through various channels. Agro-meteorological data is automatically delivered daily, thanks to our collaboration with Arpa Sardegna; additionally, images, time series, and other forms of information are sourced from agencies for agriculture of Regione Sardegna (Laore and Agris), as well as from end users who collaborate with us. Machine learning methods play a pivotal role in data analysis and processing, such as optimal interpolation of agro-meteorological data to obtain crop-scale information. Moreover, cutting-edge deep learning models enable us to automatically classify images for early detection of field emergencies, such as occurrences of phytopathologies, weed\/pest infestations, and deficiencies in water and\/or nutritional elements. With the aid of state-of-the-art edge devices, able to mitigate the necessity for cloud computing, and optimized AI techniques, real-time classification is now achievable. This opens the way to a new generation of smart rovers (unmanned ground vehicles, UGV) capable of continuous and quasi-autonomous operation. This interdisciplinary expertise forms the foundation of a structured initiative led by Fabio and his colleagues at CRS4.Fabio also boasts decades of professional experience in numerical simulation (i.e., computer-based solutions for large-scale partial differential equations), high-performance computing (HPC) utilizing parallelism and general-purpose GPUs, and leading edge numerical methods (such as spectral elements and domain decomposition).Between 2018 and 2023, Fabio delivered courses on \"Numerical Simulation and HPC\" and \"Machine Learning\" for the Master's Degree program in Mathematics at the University of Cagliari.","post_title":"Fabio Maggio","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"fabio-maggio","to_ping":"","pinged":"","post_modified":"2026-04-09 15:11:53","post_modified_gmt":"2026-04-09 13:11:53","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/fabio-maggio\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"\nPREDICT - 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\/predict\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PREDICT - CRS4\" \/>\n<meta property=\"og:description\" content=\"Many drugs fail to reach the market because of side effects on the heart. 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