SOUTH EAST TECHNOLOGICAL UNIVERSITY

BRECISE is a Public-Private Partnership Project, co-funded by the Innovative Health Initiative (IHI) of the European commission aiming at creating a collaborative ecosystem to accelerate the clinical validation of Next-Generation Sequencing (NGS)-based, multi-modality Artificial Intelligence (AI) oncology biomarkers and related technologies. By addressing technical and regulatory challenges, the consortium unites diverse expertise and resources to validate novel prostate and bladder cancer biomarkers, ensuring their efficacy and clinical utility. This initiative aligns with the goal of advancing precision medicine in oncology, ultimately improving patient outcomes and streamlining personalized cancer care. BRECISE's primary objective is to enhance biomarker-driven approaches for patient risk stratification, disease progression prediction, and treatment response assessment, within the framework of precision medicine. The project addresses the current challenge of limited access to clinically validated prognostic and predictive biomarkers in oncology. By providing healthcare professionals with NGS-based, multi-modality AI oncology biomarkers, BRECISE aims to enable precise disease risk assessment and informed treatment selection, contributing to more personalized and effective patient care. The impact of BRECISE is transformative, aiming to revolutionize risk assessment and treatment selection in oncology, facilitating the implementation of precision medicine. This will significantly reduce unnecessary and ineffective treatments, optimizing patient care and minimizing side effects. The validated biomarker technologies empower researchers to develop safer and more effective personalized treatments, advancing precision medicine. These advancements will enhance the competitiveness of European health industries, positioning them at the forefront of innovation and healthcare excellence. Overall, BRECISE is expected to significantly improve patient outcomes, enhance healthcare efficiency, and bolster the global standing of European health industries.

EC contribution:

EUR 925k

Start:

2025-01-01

End:

2029-12-31

Status:

SIGNED

Scheme:

HORIZON-JU-RIA

Call:

HORIZON-JU-IHI-2024-07-single-stage

View on CORDIS (DOI 10.3030/101194784)

COALESCE aims to develop a cross-optimization platform that enables integrated operation and interplay between the energy grids and the data and telecommunication networks. Telecommunication and data networks need energy, while energy grids need data to operate efficiently. This project will develop a framework that will optimize the interplay between energy grids and telecommunications and data networks in a way that both the infrastructure pillars (energy and telecommunications) are jointly sustainable and efficient. Through the Staff Exchange program, we will be able to exchange expertise and know-how between energy, data and telecommunications sectors across both academia and industry. We will assess how the proposed architecture performs by validating the framework against 4 use case scenarios; a) To investigate optimization algorithms for energy efficiency under simultaneous wireless information and power transfer (SWIPT) will be investigated in a local energy system context for a wireless sensor network. b) To develop a novel framework for predicting and validating trading optimization strategies for in-house energy asset management, considering battery storage, flexible domestic demand, windfarm, solar cells etc,. using neural network and transfer learning-based models; while maintaining sustainable and secure exchange of data and user (or individual residence) portfolio. c) To design novel set of measurement methodologies for the characterization of 5G/6G RAN's energy consumption and open data sets for analysis, parametric models of the energy consumption transfer function for the uplink and downlink and generative neural network models of the energy transfer function for the uplink and downlink. d) To formulate joint data-energy-transportation robust/stochastic optimization algorithms considering computational load flexibility, intermittent energy generation and storage and multi-agent learning algorithms for collaborative e-transportation and SLES.

EC contribution:

EUR 386k

Start:

2023-12-01

End:

2027-11-30

Status:

SIGNED

Scheme:

HORIZON-TMA-MSCA-SE

Call:

HORIZON-MSCA-2022-SE-01

View on CORDIS (DOI 10.3030/101130739)

Driven by the growing concern on the usage of personal and sensitive data in the Internet, DUCA aims at providing a framework to empower European users and organizations to take control of their data, thus easing confidentiality and personal data protection (including both personal data of citizens and confidential data produced by data-enabled organizations). This unified framework of security and privacy-enhancing solutions incorporates a set of building blocks to support the development of a modular architecture and reference implementation that will also include techniques for measuring privacy risk exposure. To be general and flexible, the main components will be designed as platform independent to ensure the compatibility of the DUCA framework with the many architectures and deployment models of the IoE. In order to achieve this, DUCA has the following concrete objectives: Objective 1: To build a flexible and easy to use distributed framework for managing data sharing agreements, which will empower users to control the usage of their data. Objective 2: To develop and integrate several security and privacy enhancing technologies and to tailor these to the specific needs of the DUCA platform and use cases. Objective 3: To deploy and validate the overall distributed data usage control framework in several use cases. Within the DUCA consortium, we have identified the following three use cases as relevant samples to showcase our framework: Smart energy, Usage control for Big Data and Artificial Intelligence, and Collaborative mobility. Several stakeholders will benefit from the awarding of DUCA, including the seconded staff members, who will increase his/her knowledge and career opportunities, beneficiaries will improve their research and innovation activities, and overall society will gain both socially and economically from advanced data protection mechanisms being developed.

EC contribution:

EUR 207k

Start:

2023-01-01

End:

2026-12-31

Status:

SIGNED

Scheme:

HORIZON-TMA-MSCA-SE

Call:

HORIZON-MSCA-2021-SE-01

View on CORDIS (DOI 10.3030/101086308)

iMagine provides a portfolio of free at the point of use image datasets, high-performance image analysis tools empowered with Artificial Intelligence (AI), and Best Practice documents for scientific image analysis. These services and materials enable better and more efficient processing and analysis of imaging data in marine and freshwater research, accelerating our scientific insights about processes and measures relevant for healthy oceans, seas, coastal and inland waters. By building on the computing platform of the European Open Science Cloud (EOSC) the project delivers a generic framework for AI model development, training, and deployment, which can be adopted by researchers for refining their AI-based applications for water pollution mitigation, biodiversity and ecosystem studies, climate change analysis and beach monitoring, but also for developing and optimising other AI-based applications in this field. The iMagine compute layer consists of providers from the pan-European EGI federation infrastructure, collectively offering over 132,000 GPU-hours, 6,000,000 CPU-hours and 1500 TB-month for image hosting and processing. The iMagine AI framework offers neural networks, parallel post-processing of very large data, and analysis of massive online data streams in distributed environments. 13 RIs will share over 9 million images and 8 AI-powered applications through the framework. Having representatives so many RIs and IT experts, developing a portfolio of eye-catching image processing services together will also give rise to Best Practices. The synergies between aquatic use cases will lead to common solutions in data management, quality control, performance, integration, provenance, and FAIRness, contributing to harmonisation across RIs and providing input for the iMagine Best Practice guidelines. The project results will be integrated into and will bring important contributions from RIs and e-infrastructures to EOSC and AI4EU.

EC contribution:

EUR 52k

Start:

2022-09-01

End:

2025-08-31

Status:

SIGNED

Scheme:

HORIZON-RIA

Call:

HORIZON-INFRA-2021-SERV-01

View on CORDIS (DOI 10.3030/101058625)

The SMART project proposes a transformative approach to optical communications by developing a novel, meaning-aware, and energy-efficient network architecture. In an era of rapidly increasing data traffic, SMART addresses the critical need to optimise the way information is transmitted across digital infrastructure. By embedding semantic awareness into optical data transmission, the project will enable optical networks to prioritise information based on its contextual relevance, significantly reducing redundant data flow and enhancing overall system efficiency. This paradigm shift combines state-of-the-art advances in optical communication systems with intelligent, context-sensitive data processing. The SMART project aims to deliver improved transmission performance, lower energy consumption, and enhanced sustainability, paving the way for greener and more intelligent communication network infrastructure. The project aligns with the principles of green computing and supports the EU’s objectives for climate-neutral digital technologies. SMART will be implemented through dynamic collaboration among academic institutions, industry partners, and end-users across the UK, Spain, Poland, Italy, Portugal, Latvia, Ukraine, Greece and Ireland. The MSCA Staff Exchange scheme will facilitate the interdisciplinary and cross-sectoral mobility essential to the project’s success. Leveraging cutting-edge research in photonics, the Internet of Things (IoT), and Artificial Intelligence (AI), SMART will establish a foundation for resilient, adaptive, and future-proof communication networks. By fostering international knowledge exchange and innovation, SMART not only advances the current state of optical networking but also strengthens Europe’s strategic leadership in sustainable digital infrastructure. The project represents a significant step toward next-generation connected systems that are smarter, greener, and more responsive to societal and technological needs.

EC contribution:

EUR 50k

Start:

2027-01-01

End:

2030-12-31

Status:

SIGNED

Scheme:

HORIZON-TMA-MSCA-SE

Call:

HORIZON-MSCA-2025-SE-01

View on CORDIS (DOI 10.3030/101300012)