Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Hunting for the perfect shot: Organoid- and AI-based Identification of Oncology Drug-Vaccine Interactions (OrAIOn)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Immunity, Infection and I mmunotherapy
Panel description: The immune system , related disorders  and their mechanisms , biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases , innovative imm unological tools and approaches , including  therapies
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-05-01
End date: 2030-04-30
Duration (months): 60.0
Total project cost (EUR): 1499863.0
EU funding (EUR): 1499863.0
Participants: 1
Project status: SIGNED

Infectious diseases caused >2 million deaths in 2019 (pre-COVID-19). Cancer patients die more often from infections than healthy individuals and are less effectively protected by vaccines. Several studies link oncology drugs to altered vaccine responses. While designed to inhibit tumor progression, these drugs also affect immune functions and thus may interfere with vaccine responses – for better or worse. A systematic analysis of this problem has so far been hampered by a lack of suitable models and the low throughput of clinical trials. Currently, it is unknown how most oncology drugs, routinely administered to patients, affect vaccine responses. In OrAIOn, I will fill this knowledge gap and systematically survey how a wide range of oncology drugs impact vaccination outcomes. To this end, I will use two high-throughput (HT) approaches: 1) a human tonsil lymphoid organoid-based screen with a custom library of >400 oncology drugs; 2) a computational screen with >20,000 publicly available drug profiles. To predict the impact of multiple drug combinations on vaccination, I will exploit a recent AI model. Finally, I will use in vitro and in vivo models, patient records, and public human datasets to determine and validate the underlying mechanisms. OrAIOn’s groundbreaking outcome will be the first comprehensive database of validated drug-vaccine interactions with detailed mechanistic insights. I will go beyond the state of the art by pioneering tonsil-based HT screens and yielding >3000 single-cell RNA-seq profiles from perturbed lymphoid tissue cells. My insights will inform follow-up clinical trials, leading to better vaccine recommendations and tailored vaccines. They will also improve anti-cancer vaccine strategies. In the long term, OrAIOn will enable me to realize my vision to provide personalized vaccination strategies to all cancer patients.

Keywords: drug vaccine interactions,drug immune interactions,multi omics,systems biology
Bringing newborn care home: An integral mHealth solution for neonatal jaundice management. (Picterus Jaundice mHealth platform)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Norway
Call: EIC Accelerator Open 2023 (HORIZON-EIC-2023-ACCELERATOR-01, 2023)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 3938916.25
EU funding (EUR): 2499999.99
Participants: 1
Project status: CLOSED

Neonatal jaundice (NNJ) affects 60%-80% of newborns worldwide (84-112 million/year). Ten percent will develop severe jaundice (SNJ), which can cause permanent brain damage or even death (114,000 newborns die/year, 75,000 suffer severe long-term neurological impairments). A fast, point-of-care, affordable method for NNJ screening and monitoring in the first 2 weeks of life is crucial, but current methods are insufficient (e.g. visual assessment, transcutaneous device, blood test). Health systems face increasing pressure on their resources. It is imperative to develop more sustainable models of care and empower patients and their families. Picterus is developing the first digital platform to enable NNJ screening by parents and caregivers at home, and a timely referral to healthcare services. Our recommendation tool will allow families to monitor NNJ at home with their smartphones, and healthcare workers to efficiently manage a greater number of families by avoiding unnecessary visits.

Keywords: data driven medical care,newborns well being,home based care,jaundice diagnosis,digital health tools,neonatal healthcare,jaundice management,mhealth
DATA Monetization, Interoperability, Trading & Exchange (DATAMITE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: World-leading Data and Computing Technologies
Action type: Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Spain,Netherlands,Estonia,Germany,Bulgaria,Greece,Poland,Austria,Portugal,Italy,Finland,Ireland
Call: Technologies and solutions for data trading, monetizing, exchange and interoperability (AI, Data and Robotics Partnership) (IA) (HORIZON-CL4-2022-DATA-01, 2022)
Start date: 2023-01-01
End date: 2026-03-31
Duration (months): 39.0
Total project cost (EUR): 12106715.75
EU funding (EUR): 11115540.25
Participants: 27
Project status: SIGNED

DATAMITE empowers European companies by delivering a modular, open-source and multi-domain Framework to improve DATA Monetizing, Interoperability, Trading and Exchange, in the form of software modules, training, and business materials. DATAMITE unleashes the monetization potential at two levels. At internal level, users will have tools to improve quality management of their data, the adherence to FAIR principles, and will be able to upskill on technical and business aspects thanks to the multiple open-source training materials the project will generate. Therefore, data will become trustable and more reliable also in other paradigms like AI. At external level, keeping users in control of their data will provide new sources of revenue and interaction with other stakeholders. The architecture envisioned for DATAMITE enables DIHs sandboxing, becoming a potential instructor on their onboarding of SMEs and low-tech SMEs into the data economy. Together, DATAMITE’s solutions will function as a catalyst to boost data monetization in the European productive fabric. DATAMITE will validate the results in 3 different use cases with a total of 6 pilots, demonstrating that the Framework is interoperable and usable in different domains and user needs, as: 1) Intra-corporate, multi-domain data exchange; 2) Data trading among Data Spaces; 3) Integration with other initiatives as Data Markets, EU AI-on-demand platform, or DIHs. Sectors covered by the pilots are: agriculture, energy, industrial and manufacturing, and climate. To achieve this, the project relies on a consortium of 27 partners from 13 countries, bringing together key actors of the Data Value Chain: Data Spaces technical and business stakeholders, multiple key communities (IDSA, Gaia-X, EUHUBS4DATA, AI4EUROPE, EOSC), key experts in Legal and SSH aspects to guarantee legal and societal compliance, and facilitators on open-source community building and standardisation activities to accelerate the transfer to the market.

Keywords: data monetization,data exploitation,data quality,data governance,data spaces,eu ai on demand platform,eosc,data sovereignty
Aerospace Districts: Acceleration of the Strategic Transfer of Regional Advancements (AD-ASTRA)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Interconnected Innovation Ecosystems
Destination: Interconnected Innovation Ecosystems
Action type: Coordination and support actions
Countries involved: Italy,Spain,France,Netherlands
Call: Preparatory action for setting up joint programmes among innovation ecosystems actors (HORIZON-EIE-2021-CONNECT-01, 2021)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 538536.43
EU funding (EUR): 499968.0
Participants: 5
Project status: CLOSED

AD-ASTRA (Aerospace Districts: Acceleration of the Strategic Transfer of Regional Advancements) is a project about the positive interconnection among innovation ecosystems, with a focus on aerospace sectors. The proposal aims at the development of a connected, competitive, interregional innovation ecosystem between 5 EU regions (Toulouse, South Holland, Madrid, Apulia, Emilia-Romagna) with: a shared interest in fostering aerospace sectors, enhancing the cross-contamination to and from other innovative sectors (e.g., automotive, biomedical, agri-food, big data); different innovation readiness levels; aerospace districts with different levels of maturity and consolidation. “Diversity generates wealth”: the collaboration of these markedly diverse regions, furthermore represented by partners from different spheres of the quadruple-helix, will be a growth opportunity. The establishment of a solid and long-lasting collaborative EU network, able to exploit complementary skills, experiences, territorial and industrial vocations, will contribute to create a “critical mass” in EU strategic sectors such as innovation and aerospace, where global competition leads to a confrontation with actors of increasing size and requires innovative models and approaches. This ambitious goal will be achieved through an iterative process: starting from the collection, analysis and systematization of the experiences (competencies, technologies, networks) of the partner regions with reference to their aerospace districts; analyzing the future evolutions of the ecosystems, in response to technological, economic, political, and social megatrends; correcting or validating hypotheses and evolution models with the support of stakeholder groups; defining an action plan for the development of each of the regional aerospace ecosystems, valuing experiences and good practices stemming from other regions and strengthening spin-in and spin-out processes to and from other industrial sector and territories.

Keywords: aerospace,space economy,ecosystems interconnections,industrial sector revamping
Molecular Storage System (MoSS): Intelligent DNA Data Storage (MoSS)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Transition
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Ireland,France,United Kingdom
Call: EIC Transition Open 2021 (HORIZON-EIC-2021-TRANSITIONOPEN-01, 2021)
Start date: 2022-05-01
End date: 2024-04-30
Duration (months): 24.0
Total project cost (EUR): 2594615.0
EU funding (EUR): 2594615.0
Participants: 3
Project status: CLOSED

Molecular Storage System (MoSS): Intelligent DNA Data Storage Several groups, including Helixworks, have demonstrated DNA storage systems over the last few years. The information stored has steadily increased from a few kilobytes to several hundred megabytes. However, current DNA synthesis techniques based on phosphonamidite chemistry are designed for manufacturing error-free DNA for biological applications. Today, synthetic DNA costs $0.001 per nucleotide, making DNA storage seven orders of magnitude more expensive than tape. Based on results generated from the FET Open project ?OligoArchive? (grant agreement 863320), three of the participants (Helixworks Technologies Limited, Imperial College of Science Technology and Medicine, and EURECOM) are seeking to take the OligoArchive results further, through the development of MoSS ? a new DNA storage system based on a novel enzymatic technique for writing DNA at scale (this innovation was assessed by the JRC?s Market Creation Potential indicator framework as having a ?High? level of market creation potential). In MoSS, we will investigate novel enzymatic synthesis techniques that can dramatically reduce cost of DNA synthesis by exploiting that using DNA as a data storage medium does not require precise, error-free synthesis. Our consortium members are at the forefront in both academic research (Imperial, Eurecom) in structural biology (especially DNA-binding proteins), synthetic biology, and automation (including cell-free protein synthesis), and industrial research (Helixworks) in pursuing novel, scalable, enzymatic synthesis techniques that can offer low-cost, high-throughput write path to DNA storage.

Keywords: dna,storage,databases,sequencing,synthesis,archival data,automation,structured data
Biogeography and Resilience of Intertidal Southern Ocean Communities (BioRISC)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 210038.88
EU funding (EUR): 210038.88
Participants: 5
Project status: SIGNED

The intertidal zone (seashore) is a critical environment at the interface of marine and terrestrial habitats, where inter-linked environmental and anthropogenic stressors occur. In polar regions, especially in the Southern Ocean, biological communities living in the intertidal zone remain largely underexplored. Understanding the diversity and biogeographic relationships existing among intertidal communities would prove central for deciphering their origin and evolution. It is also crucial to assess their vulnerability to global changes as the Southern Ocean is currently facing fast pace environmental changes. BioRISC aims to evaluate the biodiversity, biogeography, and resilience of intertidal communities at an unprecedented spatial scale across the Antarctic and the sub-Antarctic. By using an integrative, community-based approach, the project will address fundamental ecological questions involving the assessment of biogeographic regions, the importance of environmental heterogeneities and the evaluation of community resilience to climate change scenarios. The work will combine standardized in situ protocol with thorough taxonomic identification, and genetic methods (DNA barcoding and metabarcoding of several genes) to produce an unprecedented dataset for community structure analyses. In addition, BioRISC has a strong conservation component, including the monitoring of non-native species. The results will fit the needs of nature managers at both the regional (Crozet, Falkland, Kerguelen Islands) and global scales (Convention for the Conservation of Antarctic Marine Living Resources - CCAMLR). Altogether, BioRISC will therefore provide a critical assessment of the uniqueness of these communities and test how their composition and distribution are likely to shift in the future based on IPCC-derived scenarios of climate change.

Keywords: seashore,antarctica,sub antarctic,taxonomy,barcoding,metabarcoding,community structure analysis,non native species,monitoring
Model Invariants in Algebraic Statistics (MIAS)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: Italy
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: CLOSED

The goal of this research project is to develop new methods for data analysis based on algebraic statistics, demonstrate their effectiveness on real data problems, and make them available to the public as software packages. Three algebraic model invariants are central to this action: the maximum likelihood (ML) degree, the Euclidean distance (ED) degree, and the polar degree. Recently developed in theoretical research, these invariants promise to unlock new algebraic methods for data analysis. This action will realize this vision, expand the underlying theoretical foundations as needed, and produce statistical tools fit for use by practitioners. The expected impact of this research is fourfold. First, the obtained results will ground the latest theoretical advances in real applications, improving the algebraic statistics community's sense of what is possible and directing future research. Second, they will generate new mathematically interesting results tailored to the data applications of the project. Third, they will produce novel insights about complicated data problems with an algebraic structure, strengthening the case for algebra and geometry in data analysis. Fourth, the easily accessible software produced during this action will introduce algebraic techniques to the data analysis toolkits of data practitioners and domain experts.

Keywords: algebraic statistics,maximum likelihood degree,euclidean distance degree,wasserstein distance,monodromy,polynomial optimization,polynomial neural networks,algebraic statistical models
RNA-based gene writing in human cells (SCRIBE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Biotechnology and Biosystems E ngineering
Panel description: Biotechnology using all organisms , biotechnology for environment  and food applications, applied plant and animal sciences , bioengineering and synthetic biology , biomass and biofuels , biohazards
Countries involved: Spain
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-05-01
End date: 2029-04-30
Duration (months): 60.0
Total project cost (EUR): 1999465.0
EU funding (EUR): 1999465.0
Participants: 1
Project status: SIGNED

CRISPR development has enormously accelerated genetic engineering principles, and precise methods to modify small alleles (such as base or prime editing) are now available. However, generating large genomic changes still presents enormous challenges. Large modifications, such as gene transfers, are performed generally with viral vectors, which have been associated with toxicities in the clinic, and often lack versatility needed for basic science experimentation. Newer CRISPR-based techniques for gene transfer suffer from significant efficacy and safety problems when used for large message writing. The overall goal of SCRIBE is to create new strategies for gene writing and define their molecular principles. These new writers will use RNA to both encode and transfer the message. The SCRIBE strategies will take advantage of the retrotransposon capacity for writing genes from RNA, and the precision of CRISPR in addressing specific sites of the genome. Thus, the “find” function will be dominated by CRISPR components, and “copy-paste” activity will be executed by retroelement components. To develop and optimize such a technology, we will use evolutionary analysis to select those retroelements with the highest activity and orthogonality, and modulate their message writing capacity by engineering their components. We will test various CRISPR and retrotransposon combinations, and adapt both of them to converge into a unified molecular machine. We will use artificial intelligence applied to protein design and a novel concept of synthetically oriented evolution to accelerate emergence of the new function. Finally, we will deploy new gene writing principles for RNA-based in vivo gene delivery. In sum, we will develop a new family of tools for engineering life. The real breakthrough will be the establishment of gene writing as a simple and general method for both research advancement and applied purposes.

Keywords: gene writing,crispr,genetic engineering
BRAIN RESEARCH AND INTEGRATIVE NEUROSCIENCE NETWORK FOR COVID-19 (BRAINN)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Cyprus,Netherlands,United Kingdom,Belgium
Call: Twinning (HORIZON-WIDERA-2021-ACCESS-03, 2021)
Start date: 2023-01-01
End date: 2026-06-30
Duration (months): 42.0
Total project cost (EUR): 1091346.25
EU funding (EUR): 1091346.25
Participants: 4
Project status: SIGNED

The Brain Research and Integrative Neuroscience Network for COVID-19 (BRAINN) will advance the research and innovation capacity of the University of Cyprus (UCY) as indicated in the ‘Widening Participation & Strengthening the ERA’ Work Programme, by twinning with three advanced partners in brain research, Maastricht University (UM), King’s College London (KCL), and Ghent University (UGent). Through networking activities, training and coordinated actions, BRAINN will develop an innovative applied neuroscience approach to characterise the effects of COVID-19 on brain health and to elevate the standards of assessment, diagnosis, prognosis and treatment of patients with mental health and cognitive problems due to COVID-19. The UM, KCL and UGent teams have complementary world-renowned expertise in neuroimaging, non-invasive neurostimulation and digitalised assessment methods, extensive research management experience and active interest in post-COVID research. Engaging these teams as partners will provide the required mentoring and training towards a focused and systematic approach to neuroscience research in a mutually beneficial manner to raise the research profile of UCY, as well as strengthen the research management and administrative skills of UCY staff. BRAINN will benefit all partners, as the standardisation of assessment and treatment protocols will expedite data collection and will safeguard the sustainability and future expansion of the network. Through interdisciplinary research and development of novel methods and technologies, BRAINN will contribute to personalised treatments, bringing both UCY and Cyprus to the scientific forefront. Additionally, BRAINN will address the brain drain challenge that has increased in Cyprus over the recent years and contribute to the reduction in the burden created by COVID-19. The knowledge and methodologies produced will extend beyond BRAINN, since they will be applicable to other conditions affecting brain health, even when COVID-19 is eradicated.

Keywords: long covid,neurostimulation,rehabilitation,neuroscience,imaging,neuropsychology,mental health,cognition