France (Français)
Nos recherches font le lien entre plusieurs disciplines : la physique, la physiologie, la médecine, l’ingénierie et la chimie, l’informatique et les mathématiques.
Nos recherches font le lien entre plusieurs disciplines : la physique, la physiologie, la médecine, l’ingénierie et la chimie, l’informatique et les mathématiques. Par ailleurs, nous accordons une grande place à l’accessibilité des technologies que nous produisons, afin que tout le monde puisse en bénéficier, en tout lieu.
Nous étudions la nature en aiguisant nos sens humains, et en répondant aux besoins de communication profonde entre les personnes qui travaillent dans le domaine des soins de santé et celles qui sont impliquées dans les processus de prévention et de traitement.
Au fur et à mesure que la science dévoile les mystères du corps humain, nous développons de bons outils, c’est-à-dire des outils qui révèlent toujours plus de détails sans négliger l’ergonomie, un aspect complexe mais essentiel pour le fonctionnement harmonieux du corps. Notre rôle est de combler le fossé entre les connaissances scientifiques et les besoins des personnes. Les êtres humains ont besoin d’avoir un rapport harmonieux avec les objets qu’ils utilisent, et nous devons tenir compte de leurs perceptions et de leurs sensations. Pour toutes ces raisons, l’équipe Recherche et Développement est en dialogue constant avec nos experts du marché et la communauté médicale/scientifique.
Notre industrie est en constante évolution, et notre rôle doit également évoluer vers plus de soutien et d’intégration de l’expérience humaine dans les processus de santé.
Pour répondre à des besoins changeants et croissants, nous avons toujours consacré des ressources considérables à notre secteur Recherche et Développement, qui représente 20 % de notre personnel et jusqu’à 12 % de nos revenus.
Laboratoires
Nos activités de R&D se déroulent dans nos installations situées à Gênes, Florence, Naples et Maastricht, où des ingénieurs électroniciens, des physiciens, des mathématiciens et des informaticiens travaillent sur la conception du matériel, des logiciels et de l’électronique, la mécanique, le développement de prototypes et la technologie clinique expérimentale.
L’utilisation de matériaux à faible impact environnemental et la réutilisation des composants le cas échéant sont les deux objectifs que nous ne perdons jamais de vue.
Brevets
Nous avons toujours considéré que la protection de la propriété intellectuelle est un facteur stratégique, et un important pivot de l’innovation.
Nous détenons environ 300 brevets, et ce nombre est en augmentation constante.
- Imagerie par résonance magnétique. Nos brevets couvrent les principaux composants de la technologie liée à l’IRM dédiée à aimant permanent, tels que les structures magnétiques, les antennes, les supports de patients, le système de réglage fin de l’aimant et le blindage électromagnétique.
- Échographie. Nos brevets couvrent principalement des technologies avancées de traitement du signal identifiées par les noms commerciaux CnTI, QElaxto, Shear Waves, XStrain, Virtual Navigator, par exemple, ainsi que des sondes de pointe.
Projets financés
Les trois départements de R&D, qui s’occupent respectivement des ultrasons (échographie), de l’IRM et de l’IT médical, participent à des projets de recherche financés, souvent individuellement, mais parfois conjointement.
PROJETS EN COURS
- GEMINI,Digital Twins for Central Nervous System Diseases and Personalized Medicine
PROJETS TERMINÉS
- MyLab 4.0,Création d’un service numérique intégré pour les diagnostics radiologiques et les procédures interventionnelles échoguidés.
- MEDIA,Méthodes de diagnostic à haute efficacité pour le patient ostéo-articulaire : IRM dédiée à l’imagerie pré et postopératoire non invasive pour l’implantation de prothèses, et intégration de systèmes qui facilitent la gestion des données cliniques/diagnostiques.
- PROMENAIDE,Solution complète de maintenance pronostique des équipements médicaux à l’aide de l’IA, de la DLT et de l’Edge computing.
- UTMOST,Nouvelles méthodologies et techniques d’imagerie pour le diagnostic, l’évaluation et la gestion de la sarcopénie dans des conditions normales et pathologiques.
- A-PROMISE,Automatisation des processus de fabrication des sondes d’échographie.
- Nephele,Pile technologique logicielle légère et cadre de méta-orchestration synergique pour le continuum informatique de nouvelle génération.
- THE Spoke2,Écosystème de santé de la Toscane.
- RAISE Spoke2,Robotics and AI for Socio-economic Empowerment
- ROSSANA,Online Resilience and Cybersecurity in Healthcare for Biomedical Devices Connected to Networks and Using AI Algorithms
- CIVIS TRIA,Echography Probes Vita Cycle: Environmental Impact Reduction Technologies
- IMAGINIS,Non-invasive Imaging for Territorial Healthcare
MyLab 4.0
The overall goal of the MyLab 4.0 project was to enhance the current approach to ultrasound diagnostic management, moving from a simple analysis tool to an integrated digital service structure for echo-guided diagnostic and interventional radiology that is accessible throughout the healthcare facility for the benefit of patients, regardless of where they receive their healthcare services.
Co-funded project under the 2014-2020 National Operational Program on Enterprises and Competitiveness (PON IC) – REACT EU Axis VI – R&D large project tender notices Revolving fund to support enterprises and investments in research (FRI). Project local code F/210010/00/X46
Implementing bodies: Esaote S.p.A.
CUP: B46G20001250005
Project ended on June 30, 2023
MEDIA - High-efficiency diagnostic methods for the osteoarticular patient: Dedicated MRI for non-invasive pre- and postoperative imaging in prosthetic implantation and integrated systems to aid clinical/diagnostic data management
The MEDIA project aimed to address the remaining gaps in the osteoarticular patient management process in order to create a care environment with “high-efficiency methods”, that is, methods using technologies that can detect and treat diseases more efficiently, thus reducing health and social costs, while being minimally invasive to the patient at all stages of the clinical/diagnostic process.
The increasing prevalence of musculoskeletal disorders has a significant impact on healthcare expenditure, especially as the average age of the population continues to rise and risk factors such as obesity and poor diet continue to increase. These conditions affect patients’ autonomy and ability to work, and therefore have a significant impact on their quality of life.
Project co-funded by the European Union - NOP for Research and Competitiveness 2007-2013 CAP, Stralcio Plan Research and Innovation 2015-2017, Development and Cohesion Fund 2014-2020 – pursuant to MIUR D. D. no. 713/Ric. of 29/10/2010 (MIUR Call PON03)
Implementing bodies: Esaote S.p.A., SynLab SDN S.p.A., SCAI S.p.A, Distretto Tecnologico Campania Bioscience Scarl, National Research Council – Institutes: IBB (Institute of Biostructures and Bioimaging); ICAR (Italian Central Institute for Archives); IAC (Institute for Calculus Applications), University of Campania Luigi Vanvitelli – Division of Radiology of the Department of Precision Medicine, University of Salerno – Department of Computer Science, University of Naples Federico II – Department of Advanced Biomedical Sciences, Biogem Scarl, Centro Regionale di Competenza in Biotecnologie Industriali BioTekNet SCpA
CUP: B64C12000370005
Project ended on June 30, 2023
PromenAIde™ - PROgnostic Medical Equipment maintenance services ENabled by AI on DLT and EDGE
The PromenAIde™ Project originated from a Knowhedge™ design concept aimed at bringing disruptive innovation to the concept of “service” in biomedical equipment.
The PromenAIde platform was developed with the support of the specific professional expertise of the ESAOTE research laboratory and of the innovative startups belonging to the SOSIA Pole (Knowhedge™, Swhard™ and Innovina™) specialized in innovation in the field of Edge AI, IoT and Blockchain. In addition, the platform benefits from the system integration capabilities and operational support provided by the innovative SME Zenatek™ SPA, which was later acquired by MYWAI™ srl.
As part of the project, Knowhedge™ coordinated the overall design and specification part of the solution and designed, implemented and patented a technology to deploy and certify AI algorithms also on neuromorphic chips by implementing an innovative DLT infrastructure.
Project co-funded by F.E.S.R. - European Regional Development Fund, Axis 1 “Research and Innovation (OT1)”, Action 1.2.4
Liguria Regional Operational Program 2014 - 2020
Call - “Support for the implementation of complex research and development projects for companies associated with research and innovation poles”
Implementing bodies: Knowhedge s.r.l. (leader), Esaote S.p.A., Zenatek S.p.A., Swhard s.r.l., Innovina s.r.l., Logoil s.r.l.
CUP: G22C21000270007
Project ended on March 31, 2023
UTMOST - New Imaging methodologies and techniques for the diagnosis, evaluation and management of Sarcopenia in normal and pathological conditions
The aim of the UTMOST project was to investigate the efficacy of a novel, personalized treatment protocol and an innovative ultrasound platform for the diagnosis of Sarcopenia, also using Machine Learning techniques, which would to facilitate the comprehensive management of sarcopenic patients.
The project was led by a Temporary Association of Enterprises consisting of FlairBit – lead partner, Akronos Technologies, Esaote and ICS Maugeri. The project was also supported by research organizations such as the Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS, Prof. Alessandro Verri), the Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Sciences (DINOGMI, Prof. Angelo Schenone) and the Department of Health Sciences (DISSAL, Prof. Carlo Martinoli).
In the UTMOST project, the ultrasound method was chosen for the diagnosis of sarcopenia because it allows the assessment examination to be performed easily and in a wide range of settings. Specifically, a protocol for the automated acquisition and reprocessing of raw image data acquired by an ultrasound imaging diagnostic device (RF Data) was investigated. The dataset of patients’ ultrasound scans therefore allowed the development of a machine learning model, specifically a neural network, which can estimate the Hounsfield unit (a unit of measurement used in computed tomography to provide a quantitative scale of body tissue density) and strongly correlates with the presence of sarcopenia.
Project co-funded by F.E.S.R. - European Regional Development Fund, Axis 1 “Research and Innovation (OT1)”, Action 1.2.4
Liguria Regional Operational Program 2014 - 2020
Call - “Support for the implementation of complex research and development projects for companies associated with research and innovation poles”
Implementing bodies: FlairBit s.r.l. (lead partner), Esaote S.p.A., Akronos Technologies s.r.l, ICS Maugeri S.p.A. and the DIBRIS (Department of Informatics, Bioengineering, Robotics and Systems Engineering), DINOGMI (Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Sciences) and DISSAL (Department of Health Science) of the University of Genoa (UNIGE)
CUP: G32C21000620007
Project ended on March 31, 2023
A-PROMISE - Automation of Manufacturing Processes of Ultrasound Probes
The aim of the project is to generate the technological knowledge necessary to achieve a qualitative leap in production, toward automation solutions for the production cycle of ultrasound probes, with high accuracy, reliability and programmability. The innovations introduced by the project will enable a new process for designing ultrasound probes to create new products. The development and refinement of the technologies required to make this concept a reality will require extensive cooperation between industry and the research community, which will need to address multidisciplinary issues, including mechatronics, robotics, physics, materials technology, and ICT, fully aligned with the technological framework of Industry 4.0.
The project was led by a Temporary Association of Enterprises consisting of Esaote – lead partner, Fabrica Machinale, Apteon, Seacom, the Department of Chemistry and Industrial Chemistry of the University of Pisa, and the Department of Industrial Engineering of the University of Florence.
Project co-funded by the European Regional Development Fund, Action 1.1.5 sub-action A1
Tuscany Regional Operational Program 2014-2020
Call 1 “Strategic research and development projects”
Managerial Decree no. 3647 of March 4, 2020, as amended.
Implementing bodies: Esaote S.p.A. (lead partner), Fabrica Machinale s.r.l., Prensilia s.r.l., Apteon s.r.l., Seacom s.r.l., University of Pisa – Dept. of Chemistry and Industrial Chemistry, Dept. of Industrial Engineering (DIEF) - University of Florence
CUP: 3647.04032020.157000012
Project ended on December 31, 2022
NEPHELE - A lightweight software stack and synergetic meta-orchestration framework for the next generation compute continuum
NEPHELE is a RIA (Research and Innovation Action) project funded by the Horizon Europe program under the topic “Future European platforms for the Edge: Meta Operating Systems”. nephele-project.eu
Project co-funded under the European Union’s Horizon Europe research and innovation program
Project number: 10107048
Call: HORIZON-CL4-2021-DATA-01
Topic: HORIZON-CL4-2021-DATA-01-05
Implementing bodies: 18 European academic, research and business institutions, including Esaote S.p.A., coordinated by the National Technical University of Athens
CUP: B36G20000410007
Project ended on December 31, 2025
THE – Tuscany Health Ecosystem
THE is one of 11 nationally funded innovation ecosystems under the NRRP, and the only one dedicated to life sciences. The THE project, proposed by the University of Florence in collaboration with other regional universities and research organizations, aims to make Tuscany the “health region” by directing research toward applications and companies to develop technologies in the field of health and wellness.
Tuscany Health Ecosystem - THE | NRRP | UniFI
Esaote was an Affiliate member of Spoke 3 “Advanced technologies, methods and materials for human health and well-being”, coordinated by UNIFI.
Project co-funded as part of the “THE” (Tuscany Health Ecosystem) - National Recovery and Resilience Plan (NRRP), Mission 4 funded by the European Union with resources from the Rotation Fund for the implementation of the Next Generation EU – Italy initiative
Implementing bodies: 22 Tuscan entities, including 7 universities, 6 public bodies and public research institutes, 9 companies or private entities, with the University of Florence as lead partner
CUP: B33D21019700004
Project ended on March 31, 2026
ROSSANA – Online Resilience and Cybersecurity in Healthcare for Biomedical Devices Connected to Networks and Using AI Algorithms
The project aims to create and validate an integrated Edge Computing, AI, and blockchain platform to monitor, improve, and certify the cybersecurity of biomedical devices and AI algorithms in healthcare, in compliance with new EU directives.
Project co-funded under the PR FESR Liguria 2021–2027 Call – Action 1.1.1 – Support for the implementation of research and experimental development projects for companies affiliated with Research and Innovation Hubs.
Implementing entities: Coordinated by Cyberangels S.r.l., with ESAOTE S.p.A. as a partner together with four Ligurian biomedical SMEs, the IRCCS Istituto Giannina Gaslini, and with external support from the Casa della Salute network.
CUP: G39J23001150009
Project ended on May 15, 2026
RAISE - Robotics and AI for Socio-economic Empowerment
The RAISE innovation ecosystem project, conceived by IIT, CNR and UNIGE, which served as the project’s promoter, aims to support the development of an innovation ecosystem based on the scientific and technological fields of AI and Robotics, with a particular focus on the needs of the Liguria region. The project aims to develop into a highly attractive ecosystem for companies, investors and researchers, both nationally and internationally. www.raiseliguria.it
Esaote, as an Affiliate partner of Spoke 2, coordinated the sub-project “AI tools for non-invasive imaging” that contemplates the study and development of prototypes of algorithms based on Artificial Intelligence and Machine Learning for non-invasive diagnostic imaging solutions.
Spoke project 2, WP4, Project 1, co-funded under the Ligurian Innovation Ecosystem project “RAISE” (Robotics and AI for Socio-economic Empowerment) - National Recovery and Resilience Plan (NRRP), Mission 4 funded by the European Union with resources from the Rotation Fund for the implementation of the Next Generation EU – Italy initiative
CUP: B33D21019660004
Implementing bodies: 25 Ligurian partners from academia, research, institutions and companies, including Esaote S.p.A., coordinated by the University of Genoa (UNIGE), the National Research Council (CNR) and the Italian Institute of Technology (IIT)
Project ended on April 30, 2026
IMAGINIS - Non-invasive Imaging for Territorial Healthcare
The final objective of the IMAGINIS project is to develop new technologies and applications of non-invasive diagnostic imaging in relation to the modification of the hospital-territorial healthcare organization and of the new digital infrastructures they are making available.
These studies examine the development of ultrasound and MRI systems from the perspective of performance and efficiency, with a focus on non-invasive imaging devices that offer a favorable cost-performance ratio, ease of use, and an increasing use of quantitative imaging.
Project co-funded under the Sustainable Growth Fund “Agreements for innovation” indicated in Ministerial Decree 31/12/2021 and Decree 18/03/2022
Proj. no.: F/310008/00/X56
Implementing bodies: Esaote S.p.A.
CUP: B39J23001140005
Project ended on July 31, 2026
CIVIS TRIA - Echography Probes Vita Cycle: Environmental Impact Reduction Technologies
The CIVIS TRIA project aims to revolutionise the life cycle of ultrasound probes, with the goal of significantly reducing environmental impact and increasing production efficiency. At the heart of the initiative is the development of innovative technologies to optimise industrial processes, reduce production waste, limit the use of critical materials and promote the reuse of components. The project aims at the adoption of advanced solutions such as digital platforms for the control of production processes, the use of sustainable and biocompatible materials, the introduction of protective barriers against chemical agents and the design of easily repairable components. Thanks to the collaboration between companies, universities and research centres, CIVIS TRIA aims to make the production of ultrasound probes more sustainable, reducing special waste, improving the quality of the end product and strengthening the company’s competitiveness with a view to a circular economy and technological innovation.
Project co-funded by the European Regional Development Fund PR ERDF TUSCANY 2021 - 2027, ACTION 1.6.2 - “Support for research and experimental development projects in the field of STEP technologies" - Executive Decree no. 27716 of 12/29/2023 and subsequent amendments and additions. Executive Decree no. 26781 of 12/05/2025.
ESAOTE S.p.A. is the leader of a group consisting of five private companies and two Tuscan universities.
CUP: ST 27716.29122023.042000111 - CUP CIPE D17H24004490009
Project ended on September 6, 2026
