BBMRI-ERIC: the Biobanking and BioMolecular resources Research Infrastructure - European Research Infrastructure Consortium, aims to establish, operate and develop a Pan-European distributed research infrastructure in order to facilitate the access to biological resources as well as facilities and to support high quality biomolecular and biomedical research. The ADOPT BBMRI-ERIC proposal aims at boosting and accelerating implementation of BBMRI-ERIC and its services. Its main deliverables are designed to complete or launch the construction of key Common Services of the Research Infrastructure as required for ESFRI-projects "under implementation", reflecting the targets of the European Research Area (ERA). One of the challenges in the post-genomic era is the research on common complex diseases, such as cancer, diabetes and Alzheimer’s disease. Revealing these diseases will depend critically on the study of human biological samples and data from large numbers of patients and healthy individuals. The EU’s ageing population is will result in an increase in many of those diseases and consequently an increased healthcare expenditure for senior citizens. BBMRI-ERIC is a specific European asset having become a fundamental component in addressing the ongoing and future requirements particularly of Europe's health service frameworks, including competitiveness and innovativeness of health-related industries. Its implementation is essential for the understanding of the diversity of human diseases, biological samples and corresponding data, which are required for the development of any new drug or diagnostic assay and are, therefore, critical for the advancement in health research, ultimately leading to personalised medicine. BBMRI-ERIC will provide a gateway access to the collections of the European research community, expertise and services building on the outcome of ADOPT BBMRI-ERIC.

Cancer is the second leading cause of death in Europe with an expected increase of about 25% by 2035. A wide and unacceptable variability in terms of access to research, innovation and quality care exists between and within countries. Possible solutions are an increase in knowledge by funding research, and a more equitable transfer of what we already know to everyone. Comprehensive Cancer Centers and Comprehensive Cancer Care Networks may be the core of CCIs that deliver quality care and provide resources to improve and integrate care, research and education. Data already available confirm that the level of "CCI maturity" in Member States is widely different, from some countries lacking CCIs completely. A European initiative, implemented in all Member States, based on a capacity building programme (CBP), will help reduce inequalities, in the context of other actions ongoing, such as CRANE, JANE and UNCAN. CBP is a complex intervention that requires multiple and integrated actions delivered to all the relevant stakeholders. CBP will be designed with an inclusive approach, tailored to the baseline status, capable of creating a change and improvement in research and care, with greater integration between them, supported by an education programme. It will operate at various levels: Individuals, Institutions and Systems. The CSA will implement the following steps: define CCI Maturity Model including quality indicators; profile the CCIs in each MS and a few ACs in terms of CCI presence and levels of maturity; design tailored CBP interventions, giving priority to MSs without any CCI; deliver online training courses open to teams in all MSs and ACs, implement targeted onsite interventions; scale up and sustain development; disseminate, exploit and report results. The CSA will maximize impact by bridging with the work of ongoing EU cancer research projects. National focal points will be key informants in making the links between the CSA, the EC and MSs.

Data and AI are the fuel of scientific discoveries, and Research Infrastructures (RIs) are at the forefront of this process, generating massive and increasingly more complex datasets. However, the growing size, diversity, and velocity of research data and software demand large-scale infrastructures and technical expertise from those on the user side. RI-SCALE will address this challenge by delivering Data Exploitation Platforms (DEPs). These scalable environments will co-host scientific data with preconfigured AI frameworks and models on powerful compute resources and unlock full data and AI potential for scientific users, RI operators and industry. RI-SCALE will design and develop the DEP technology with four RIs: ENES, EISCAT, BBMRI and Euro-BioImaging. DEP instances will be deployed for environmental and life sciences, validating the technology through 8 scientific and 4 technical use cases. These will run on national e-infrastructures from the EGI Federation and (pre)exascale machines from EuroHPC. RI-SCALE will collaborate with Destination Earth, EUCAIM cancer images data space, Copernicus Data Space Ecosystem, EOSC and Gaia-X to ensure interoperability within the broader landscape. The project will also facilitate industry and university collaborations, provide training and consultancy events to increase the uptake of AI technologies by additional RIs and explore sustainable DEP operation models for RI communities.

We propose an ambitious yet well-conceived and deliverable pan-European, pan-cancer, pan-disciplinary, and multi-omic approach to address the pressing unmet need for an accurate, non-invasive, acceptable and cost-effective method of detecting precancerous and early-stage cancers in those individuals with Lynch syndrome (LS), the most common monogenetic increased hereditary cancer risk. LS has historically been underfunded and underserved, leading to significant an inequality in access and treatment. As a result, LS carriers have suffered needless cancers and deaths as a result. Our consortium has brought together the leading European experts, biotechnology companies and patient advocates to guarantee deliver practice-changing results that can be rapidly upscaled and adopted across the European Union and globally. Using an innovative clinical trial design, we will evaluate several multiple promising, non-invasive, liquid biopsy-based technologies in the three most common LS cancer types for an early-stage cancers detection. By leveraging Artificial intelligence (AI), we will identify traces of cancer, ensuring applicability to diverse healthcare systems. A comprehensive framework will assess the broader socio-economic and ethical impacts, ensuring that the solutions align with the societal values and healthcare needs. Parterning with leading biomarker companies (GNT, MSInsight, MSICare, MSIPlus and Elypta), we aim to deliver a multi-omic solution for affordable, accessible and effective test to advance the detection of heritable cancer detections in LS. This action is part of the Cancer Mission cluster of projects on “Prevention & early detection (early detection heritable cancers).