AI-Based Personalised Care for Respiratory Disease using Multi-Modal Date in Patient Stratification

Which issues of today’s digital world does the AI4Lungs project address?

Lung diseases represent a diverse and complex group of illnesses that have a profound impact on global health and economies. Each year, these diseases cause severe illness to hundreds of millions and are responsible for the deaths of millions worldwide, accounting for over 10% of all disability-adjusted life-years (DALYs). They also impose a substantial economic burden, draining more than €380 billion annually from the EU economy. Lung cancer, in particular, stands out for its high mortality rate globally.

One of the primary challenges in treating lung disease is the wide array of possible conditions, many of which present with similar symptoms and affect the lungs in similar ways. Often, patients may suffer from multiple, interconnected lung diseases, further complicating diagnosis and treatment. Traditional clinical approaches require extensive multidisciplinary teams and a range of diagnostic tools, leading to increased costs, time, and resource use. There is a pressing need for digital solutions that can streamline this process, offering faster, more accurate diagnoses and treatment plans.

‘AI is perhaps the most transformational technology of our time, and healthcare is perhaps AI’s most pressing application.’ -Satya Nadella, chief executive officer, Microsoft

What is the role of Future Needs?

At Future Needs, participation in the AI4Lungs project is embraced through involvement in various Work Packages such as “Project Management”, “End-User Co-Design, System Architecture and Framework Analysis”, “Legal and Ethical Issues”, “Algorithm Validation, Pilot Testing and Assessment”, and “AI4Lungs  Platform, Digital Twin Service and User Experience”. Leadership is provided in the critical Work Package of “Dissemination, Communication, Sustainable Exploitation“.

Our contribution spans across multiple critical domains, ensuring the project aligns with regulatory and ethical standards. Involvement in the AI4Lungs project is characterised by a comprehensive approach, with pilot testing and assessment of AI tools being conducted to evaluate their effectiveness in real-world scenarios. Future Needs plays a key role in ensuring the AI4Lungs platform meets both user needs and technical specifications. Our involvement in the Digital Twin service design and implementation focuses on optimising the user experience, with a dedicated effort towards ensuring end-user co-design principles are upheld, thereby aligning solutions closely with the needs of clinicians and patients. Furthermore, our team is responsible for analysing and defining the system’s architecture and framework, emphasising robustness and scalability.

Leading the project’s impact maximisation, Future Needs spearheads strategic approaches for the sustainable exploitation of AI4Lungs outcomes. This includes a significant contribution to Health Technology Assessment (HTA), where we evaluate the technology’s impact on healthcare systems, focusing on usability, cost-effectiveness, and standard of care enhancements.

Future Needs is also in charge of mapping the stakeholder ecosystem, ensuring effective communication and engagement through digital tools. Our team is integral in assisting in designing and implementing user-friendly interfaces for the decision support system. Ethical assessments and monitoring are rigorously overseen, with a strong focus on promoting awareness around ethical, legal, and social implications (ELSI). In addition, we lead project branding and communication efforts, organise and host the EU Summit on OneHealth, and develop a TRL9 roadmap, guiding innovation and exploitation. Lastly, our commitment extends to promoting the project’s uptake and sustainability, with a focus on regulatory compliance, intellectual property protection, economic assessment, and health technology assessment, ensuring the longevity and widespread adoption of AI4Lungs’ results.

What is the aim of the AI4Lungs project?

AI4Lungs is at the forefront of addressing the aforementioned challenges. The project focuses on developing and validating state-of-the-art AI-based tools and computational models to enhance patient stratification, thereby optimising the diagnosis and treatment of both infectious and non-infectious respiratory diseases. These diseases require comprehensive and repeated assessments over time to accurately characterise a patient’s condition. AI4Lungs is designed to be seamlessly integrated into existing clinical pathways, aiding clinicians and stakeholders in decision-making from the initial suspicion of a disease to its diagnosis and subsequent treatment planning.

The initiative leverages a wide array of data, including medical records, imaging data, and novel inputs from digital stethoscopes and -omics. By incorporating structured and unstructured data modalities, AI4Lungs‘ stratification strategy aims to position patients more accurately, enabling them to benefit from shared global data and knowledge at all care stages. This approach not only promises to enhance diagnosis and treatment planning but also to extend these benefits to patients in any location, regardless of the remoteness or size of their healthcare facility.

The broader impact of AI4Lungs includes reducing healthcare system costs by minimising unnecessary testing and ineffective treatments, thereby optimizing the use of health technologies and resources. By focusing on respiratory diseases, AI4Lungs addresses a set of disorders with a significant disease burden. The project’s innovative approach of combining AI with real-world data and holistic disease modelling offers a more efficient allocation of resources, making the best treatment options accessible to a wider range of patients. AI4Lungs is committed to adhering to FAIR principles and relevant regulatory and ethical guidelines, ensuring responsible and sustainable healthcare advancements. In the long term, the methodologies and tools developed in AI4Lungs have the potential to be applied to other disease classes, sectors, and various value chains, including pharmaceuticals, medical devices, clinical trials, and policy-making. This positions AI4Lungs not just as a solution for current challenges but also as a foundational platform for future innovations in healthcare.

Which are the main objectives of AI4Lungs?

AI4Lungs aims to push the boundaries of AI in healthcare by developing novel strategies for data integration and analysis. This includes ensemble methods for predictive modelling, addressing data sparsity and anomalies, studying causality in disease progression, and implementing advanced imaging analytics. The project emphasises the use of AI for holistic patient stratification, utilising innovative techniques like deep learning, cloud-based big data platforms, and natural language processing. The focus on trustworthy and explainable AI will enhance the reliability and acceptance of AI systems in healthcare. The project’s ultimate ambition is to reach a high technology readiness level (TRL), ensuring that the developed systems are practical, effective, and ready for widespread clinical use.

Key Objectives:

  • Decision Support System Development: Designing a guideline-based system to provide clinicians with clear, data-driven recommendations, aiming to reduce time spent on patient data analysis and improve treatment quality.
  • Computational Model Integration: Creating integrated models using AI to transition from basic data-fitting to comprehensive disease models, enhancing diagnostic accuracy and understanding of lung diseases.
  • Novel Data Modalities: Incorporating new data types such as digital auscultation recordings and liquid biopsy data, aiming to refine clinical phenotyping and early-stage cancer diagnosis.
  • Infrastructure Development: Building a secure, scalable infrastructure to manage and process data in compliance with GDPR and ethical standards, aiming for high clinician acceptance levels.
  • Interactive Dashboard Design: Developing a user-friendly dashboard for clinicians, enhancing decision-making processes and integrating a digital twin system for better interface design and workflow.
  • Open Access Data Repository: Establishing a repository for sharing patient data to foster respiratory disease research across Europe and beyond, including hosting a pan-European hackathon.
  • Tool Demonstration and Validation: Validating AI4Lungs tools and systems in clinical settings, with feedback from healthcare professionals, to ensure practical applicability and effectiveness.
  • Health Technology Assessment: Assessing the impact of AI4Lungs on clinical pathways, focusing on usability, cost-effectiveness, and standard of care improvements.
  • Sustainable Exploitation Strategy: Creating a knowledge management framework for impact maximization, balancing dissemination with intellectual property protection.
  • Ethical, Legal, and Social Implications (ELSI) Analysis: Operationalizing digital ethics principles and assessing the ELSI of AI-based tools, ensuring responsible development and implementation.

Funding

The funding of the project comes from Horizon Europe.

Project Facts

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AI-Based Personalised Care for Respiratory Disease using Multi-Modal Date in Patient Stratification

Which issues of today’s digital world does the AI4Lungs project address?

Lung diseases represent a diverse and complex group of illnesses that have a profound impact on global health and economies. Each year, these diseases cause severe illness to hundreds of millions and are responsible for the deaths of millions worldwide, accounting for over 10% of all disability-adjusted life-years (DALYs). They also impose a substantial economic burden, draining more than €380 billion annually from the EU economy. Lung cancer, in particular, stands out for its high mortality rate globally.

One of the primary challenges in treating lung disease is the wide array of possible conditions, many of which present with similar symptoms and affect the lungs in similar ways. Often, patients may suffer from multiple, interconnected lung diseases, further complicating diagnosis and treatment. Traditional clinical approaches require extensive multidisciplinary teams and a range of diagnostic tools, leading to increased costs, time, and resource use. There is a pressing need for digital solutions that can streamline this process, offering faster, more accurate diagnoses and treatment plans.

‘AI is perhaps the most transformational technology of our time, and healthcare is perhaps AI’s most pressing application.’ -Satya Nadella, chief executive officer, Microsoft

What is the role of Future Needs?

At Future Needs, participation in the AI4Lungs project is embraced through involvement in various Work Packages such as “Project Management”, “End-User Co-Design, System Architecture and Framework Analysis”, “Legal and Ethical Issues”, “Algorithm Validation, Pilot Testing and Assessment”, and “AI4Lungs  Platform, Digital Twin Service and User Experience”. Leadership is provided in the critical Work Package of “Dissemination, Communication, Sustainable Exploitation“.

Our contribution spans across multiple critical domains, ensuring the project aligns with regulatory and ethical standards. Involvement in the AI4Lungs project is characterised by a comprehensive approach, with pilot testing and assessment of AI tools being conducted to evaluate their effectiveness in real-world scenarios. Future Needs plays a key role in ensuring the AI4Lungs platform meets both user needs and technical specifications. Our involvement in the Digital Twin service design and implementation focuses on optimising the user experience, with a dedicated effort towards ensuring end-user co-design principles are upheld, thereby aligning solutions closely with the needs of clinicians and patients. Furthermore, our team is responsible for analysing and defining the system’s architecture and framework, emphasising robustness and scalability.

Leading the project’s impact maximisation, Future Needs spearheads strategic approaches for the sustainable exploitation of AI4Lungs outcomes. This includes a significant contribution to Health Technology Assessment (HTA), where we evaluate the technology’s impact on healthcare systems, focusing on usability, cost-effectiveness, and standard of care enhancements.

Future Needs is also in charge of mapping the stakeholder ecosystem, ensuring effective communication and engagement through digital tools. Our team is integral in assisting in designing and implementing user-friendly interfaces for the decision support system. Ethical assessments and monitoring are rigorously overseen, with a strong focus on promoting awareness around ethical, legal, and social implications (ELSI). In addition, we lead project branding and communication efforts, organise and host the EU Summit on OneHealth, and develop a TRL9 roadmap, guiding innovation and exploitation. Lastly, our commitment extends to promoting the project’s uptake and sustainability, with a focus on regulatory compliance, intellectual property protection, economic assessment, and health technology assessment, ensuring the longevity and widespread adoption of AI4Lungs’ results.

What is the aim of the AI4Lungs project?

AI4Lungs is at the forefront of addressing the aforementioned challenges. The project focuses on developing and validating state-of-the-art AI-based tools and computational models to enhance patient stratification, thereby optimising the diagnosis and treatment of both infectious and non-infectious respiratory diseases. These diseases require comprehensive and repeated assessments over time to accurately characterise a patient’s condition. AI4Lungs is designed to be seamlessly integrated into existing clinical pathways, aiding clinicians and stakeholders in decision-making from the initial suspicion of a disease to its diagnosis and subsequent treatment planning.

The initiative leverages a wide array of data, including medical records, imaging data, and novel inputs from digital stethoscopes and -omics. By incorporating structured and unstructured data modalities, AI4Lungs‘ stratification strategy aims to position patients more accurately, enabling them to benefit from shared global data and knowledge at all care stages. This approach not only promises to enhance diagnosis and treatment planning but also to extend these benefits to patients in any location, regardless of the remoteness or size of their healthcare facility.

The broader impact of AI4Lungs includes reducing healthcare system costs by minimising unnecessary testing and ineffective treatments, thereby optimizing the use of health technologies and resources. By focusing on respiratory diseases, AI4Lungs addresses a set of disorders with a significant disease burden. The project’s innovative approach of combining AI with real-world data and holistic disease modelling offers a more efficient allocation of resources, making the best treatment options accessible to a wider range of patients. AI4Lungs is committed to adhering to FAIR principles and relevant regulatory and ethical guidelines, ensuring responsible and sustainable healthcare advancements. In the long term, the methodologies and tools developed in AI4Lungs have the potential to be applied to other disease classes, sectors, and various value chains, including pharmaceuticals, medical devices, clinical trials, and policy-making. This positions AI4Lungs not just as a solution for current challenges but also as a foundational platform for future innovations in healthcare.

Which are the main objectives of AI4Lungs?

AI4Lungs aims to push the boundaries of AI in healthcare by developing novel strategies for data integration and analysis. This includes ensemble methods for predictive modelling, addressing data sparsity and anomalies, studying causality in disease progression, and implementing advanced imaging analytics. The project emphasises the use of AI for holistic patient stratification, utilising innovative techniques like deep learning, cloud-based big data platforms, and natural language processing. The focus on trustworthy and explainable AI will enhance the reliability and acceptance of AI systems in healthcare. The project’s ultimate ambition is to reach a high technology readiness level (TRL), ensuring that the developed systems are practical, effective, and ready for widespread clinical use.

Key Objectives:

  • Decision Support System Development: Designing a guideline-based system to provide clinicians with clear, data-driven recommendations, aiming to reduce time spent on patient data analysis and improve treatment quality.
  • Computational Model Integration: Creating integrated models using AI to transition from basic data-fitting to comprehensive disease models, enhancing diagnostic accuracy and understanding of lung diseases.
  • Novel Data Modalities: Incorporating new data types such as digital auscultation recordings and liquid biopsy data, aiming to refine clinical phenotyping and early-stage cancer diagnosis.
  • Infrastructure Development: Building a secure, scalable infrastructure to manage and process data in compliance with GDPR and ethical standards, aiming for high clinician acceptance levels.
  • Interactive Dashboard Design: Developing a user-friendly dashboard for clinicians, enhancing decision-making processes and integrating a digital twin system for better interface design and workflow.
  • Open Access Data Repository: Establishing a repository for sharing patient data to foster respiratory disease research across Europe and beyond, including hosting a pan-European hackathon.
  • Tool Demonstration and Validation: Validating AI4Lungs tools and systems in clinical settings, with feedback from healthcare professionals, to ensure practical applicability and effectiveness.
  • Health Technology Assessment: Assessing the impact of AI4Lungs on clinical pathways, focusing on usability, cost-effectiveness, and standard of care improvements.
  • Sustainable Exploitation Strategy: Creating a knowledge management framework for impact maximization, balancing dissemination with intellectual property protection.
  • Ethical, Legal, and Social Implications (ELSI) Analysis: Operationalizing digital ethics principles and assessing the ELSI of AI-based tools, ensuring responsible development and implementation.

Funding

The funding of the project comes from Horizon Europe.

Project Facts

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ENsuring Secure and Safe CMD Design with Zero TRUST Principles

Aligned with the guidelines of the Cybersecurity Act and the existing guidance on cybersecurity for medical devices, ENTRUST envisions a Trust Management Architecture intended to dynamically and holistically manage the lifecycle of connected medical devices, strengthening  trust and privacy in the entire medical ecosystem. 

What is the objective of the ENTRUST project?

The main objective of ENTRUST is to ensure end-to-end trust management of medical devices including formally verified trust models, risk assessment process, secure lifecycle procedures, security policies, technical recommendations, and the first-ever real-time Conformity Certificates to safeguard connected medical devices.

What is the role of Future Needs? 

Future Needs leads the Dissemination, Communication, Exploitation and Impact Creation work package, where it will create an Open-Source Roadmap. Furthermore, Future Needs leads the tasks for Data Management, Legal and Ethical Compliance of the project and the task Shaping the Ethical & Legal Dimension of Trust Management in Next-Generation of smart connected medical devices in which will conduct an ethical analysis.

What is the aim of the ENTRUST project?

ENTRUST will leverage a series of breakthrough solutions to enhance assurance without limiting the applicability of connected medical devices by enclosing them to cybersecurity features. The project will introduce a novel remote attestation mechanism to ensure the device’s correct operation at runtime regardless of its computational power; will be efficient enough to run in also resource-constrained real-time systems such as the medical devices.

Which needs does ENTRUST address?

There is a need for targeted design and development of Medical Device – specific defensive mechanisms that occurs from: 

  • The absence of a holistic security and privacy solution throughout the entire lifecycle of a heterogeneous medical device
  • The lack of a trust establishment mechanism among all the stakeholder in the healthcare supply chain
  • The absence of formal verification approaches for medical devices
  • The absence of runtime assurance for the connected medical devices
  • The lack of cyber security culture and visibility in healthcare domain

Funding

The funding of the project comes from Horizon Europe.

Project Facts

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Be Well and Green when Digital

The goal of the BeWEEN project is to enhance Digital Education Readiness by building capacity in “healthier and more responsible use of digital technology”. When Digital Safety is discussed by policy makers or schools, the conversation is dominated by cybersecurity issues. The notion of “safety in a digital world” however also encompasses our personal health and the health of our planet. Our BeWEEN project aims to help teachers and students realise this and develop Competences in “Protecting health and well-being” and “Protecting the environment” Competences. These are two competences that are included in the EU Digital Competence Framework (DigComp), but are under-addressed in curricula.

BeWEEN will deliver a robust solution to be readily taken up by High School Teachers and Students to develop key digital Competences under area 4 of DigComp “Safety”, and thus address the associated challenges imposed on youth of the COVID-19 era.

Future Needs participates in the BeWEEN project as a partner responsible for the development of the Training programme material which will be piloted among High School Teachers, enhancing their Digital Education Readiness. Future Needs also leads the development of the BeWEEN Mobile Game which will be promoted to and piloted by youth learners aged 13-21 in 4 European countries.

With this project, BeWEEN partners aim to:

  • Improve the level of key digital competences and skills of High School Teachers and students in Europe and beyond;
  • Impact EU policies concerning the safe and responsible use of digital technology;
  • Promote and strengthen the European lifelong learning area, by contributing to the dissemination, multiplication and replication of this new Training material.

BeWEEN has a bottom-up approach, involving High School Teachers and students in a comprehensive process covering the components of research and analysis, piloting and evaluation and exploitation & policy making.

During the 24 months of the project’s implementation, partners, participants and potential end-users will embark into a challenging journey that will start with the research of the current needs for the development of competences and mindsets along with the collection of relevant good practices from all over Europe. The findings from this procedure will serve BeWEEN as the basis for the development of the relevant training curriculum for the digital competences of the teachers and its development and piloting. Practice-related activities will then be jointly promoted and supported by piloting actions that will enable participating high schools and educational institutions to exploit the full potential of the BeWEEN project’s results and outputs.

BeWEEN project’s immediate impact goals are:

  • 50 High School Teachers and 50 youth learners to participate in the field research;
  • At least 30 teaching resources to be developed and translated in English;
  • Over 75 High School Teachers to attend online the BeWEEN Training Programme;
  • The BeWEEN Mobile Game to reach over 750 downloads.

Funding

Erasmus+ KA220-SCH – Cooperation partnerships in school education

Project Facts

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Be Well and Green when Digital

The goal of the BeWEEN project is to enhance Digital Education Readiness by building capacity in “healthier and more responsible use of digital technology”. When Digital Safety is discussed by policy makers or schools, the conversation is dominated by cybersecurity issues. The notion of “safety in a digital world” however also encompasses our personal health and the health of our planet. Our project aims to help teachers and students realise this and develop Competences in “Protecting health and well-being” and “Protecting the environment” Competences. These are two competences that are included in the EU Digital Competence Framework (DigComp), but are under-addressed in curricula.

BeWEEN will deliver a robust solution to be readily taken up by High School Teachers and Students to develop key digital Competences under area 4 of DigComp “Safety”, and thus address the associated challenges imposed on youth of the COVID-19 era.

Future Needs participates in the project as a partner responsible for the development of the Training programme material which will be piloted among High School Teachers. Future Needs also leads the development of the BeWEEN Mobile Game which will be promoted to and piloted by youth learners aged 13-21 in 4 European countries.

With this project, BeWEEN partners aim to:

  • Improve the level of key digital competences and skills of High School Teachers and students in Europe and beyond;
  • Impact EU policies concerning the safe and responsible use of digital technology;
  • Promote and strengthen the European lifelong learning area, by contributing to the dissemination, multiplication and replication of this new Training material.

BeWEEN has a bottom-up approach, involving High School Teachers and students in a comprehensive process covering the components of research and analysis, piloting and evaluation and exploitation & policy making.

During the 24 months of the project’s implementation, partners, participants and potential end-users will embark into a challenging journey that will start with the research of the current needs for the development of competences and mindsets along with the collection of relevant good practices from all over Europe. The findings from this procedure will serve BeWEEN as the basis for the development of the relevant training curriculum for the digital competences of the teachers and its development and piloting. Practice-related activities will then be jointly promoted and supported by piloting actions that will enable participating high schools and educational institutions to exploit the full potential of the BeWEEN project’s results and outputs.

Our project’s immediate impact goals are:

  • 50 High School Teachers and 50 youth learners to participate in the field research;
  • At least 30 teaching resources to be developed and translated in English;
  • Over 75 High School Teachers to attend online the BeWEEN Training Programme;
  • The BeWEEN Mobile Game to reach over 750 downloads.

Funding

Erasmus+ KA220-SCH – Cooperation partnerships in school education

Project Facts

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Safe and flexible integration of advanced U-space services for medical air mobility

SAFIR-Med is an awarded U-space management large-scale innovation project. Drones are emerging as a viable solution for urgent and reliable medical transport. The vision of SAFIR-Med is to demonstrate the use of urban air mobility in service to the EU healthcare system. and to ensure democratic access to cure and care for future generations. This is why it was selected by SESAR among other demonstration projects as the most successful in showing the benefits of SESAR innovation in live operational contexts, helping to secure stakeholder buy-in and with potential to have long-term positive impact on #ATM performance.

What will we learn from SAFIR-Med?

All lessons learnt from this U-space management project are documented in a performance assessment and a recommendations report. The report includes:

  • Refinements to the current U-space architecture principles.
  • Proposals for improved operational procedures and mechanisms for an effective interface with Air Traffic Control (ATC) and U-space service providers.
  • Α Human Performance Assessment (led by Future Needs) detailing how controllers performed during the demonstrations.

Another innovative outcome of the project is the creation of a set of Urban Air Mobility indicators which will help cities get acquainted with their role in U-space management and help them include UAM in their Sustainable Urban Mobility Plans (SUMPs).

The role of Future Needs in the project

Future Needs led the development of Smart City UAM indicators framework in the SAFIR-Med project. In this task we conducted an impact assessment on the effectiveness and implications of UAM adoption for the urban spatial structure and citizens focusing on the mid-term timeline. We primarily focused on the significance of changes that will be brought about in the city context considering the UN Sustainable Development Goals and the Sustainable Urban Mobility Indicators (SUMI) outlined by the European Commission.

Furthermore, Future Needs leads the dissemination, communication and exploitation activities of the SAFIR-Med project. We have created the project’s website and dissemination material (poster and flyer), prepared the press releases, and we are curating the newsletter and the social media, Twitter and Linkedin, of the project. We have also organised the SAFIR-Med events together with the project partners. The website has been continuously updated and presents the project’s deliverables, news, brochures, flyers, videos, consortium’s expertise in UAM and project’s progress and results from the demonstrations. In our role of social media coordinator we are posting news and updates on the SAFIR-Med activities and the progression of project’s tasks and deliverables, as well as launch novel cross-project campaigns like running the #UAMExplained campaign. Very early we have reached and finally quadrupled our initial goals receiving congratulations from SESAR3 JU for the best Dissemination and Communication among the SJU projects.

Future Needs also prepared and conducted the Human Performance Assessment during the demonstrations. Our role was to identify the HP requirements and recommendations to support the design and development of the new U-space concept. We ensured that the roles and responsibilities of human actors in the demonstrations are clear and exhaustive and that the refined operating methods are also exhaustive and support human performance, and finally that human actors can achieve their tasks in a timely and accurate way.

Last but not least, Future Needs acted as a Sustainability manager in the  SAFIR-Med project.  We ensured the future exploitation and deployment of the project results and the continuation of the SAFIR-Med research and innovation.

Finally, Future Needs was in charge of the research ethics and data protection of the project. We coordinated the process of keeping records on how, when, where and why data is collected, how it is processed, how it is used, stored and secured, how access is granted to project partners. All that is documented in the Data Management Plan of the Project as well as the Ethics deliverables.

What was tested during the project?

During the project new U-Space services were tested to validate their contribution to operational safety. Technologies that were tested during the demonstrations include detect-and-avoid as a service, dynamic geofencing and air traffic prioritization rules. Five drone platforms were combined with manned aviation in operational exercises that will validate technology in real urban environment. These platforms are: passenger eVTOL, hydrogen fuel cell VTOL, AED medical drone, X8 medical transport and tiltwing VTOL drone.

What about project demonstrations?

Project demonstrations took place at the city of Antwerp in Belgium and are soon to be completed in Aachen, Germany  and the trans-border MAHHL region. A de-risking exercise will took place at the DronePort test-facility in Sint-Truiden in Belgium.

Real demonstrations were enhanced by large-scale simulations in order to test how U-space services respond to maximum airspace capacity. Finally, project recommendations were further validated by simulating demonstrations in two additional locations in Europe, namely, Athens, Greece and Prague, Czech Republic. These demonstrations included passenger transport between hospitals and public spaces and transport of life-saving medical goods and equipment to the scene of incidents.

What will EU cities achieve through this project?

Thanks to SAFIR-Med EU cities will be enabled to:

  • Κeep up with relevant regulatory changes.
  • Ιnclude Urban Air Mobility in their urban development agendas.
  • Start using Urban Air Mobility technology for the benefit of their citizens.

Funding

The project has received funding from the European Union’s Horizon 2020 research and innovation programme, under Grant Agreement No 101017701 and under the topic “SESAR-VLD2-03-2020: U-space capabilities and services to enable Urban Air Mobility”.

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