Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Holographic surface Morphing for ready-to-use planar Photonic components (HoloMorPh)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Italy,Finland,Portugal,Spain,Germany
Call: EIC Pathfinder Open (HORIZON-EIC-2025-PATHFINDEROPEN, 2025)
Start date: 2026-04-01
End date: 2030-03-31
Duration (months): 48.0
Total project cost (EUR): 3120567.5
EU funding (EUR): 3120567.5
Participants: 7
Project status: SIGNED

The HoloMorPh consortium will develop the first sustainable, direct, closed-loop holo-lithographic platform that uses only light to fabricate, refine, and reversibly or stably lock-in ready-to-use planar photonic components. These miniaturized, high-performance optical elements, realized as micro- and nanostructured surfaces, can surpass traditional glass optics, while enabling ultra-compact, lightweight devices that drastically reduce footprint and complexity of the entire optical system. They promise a transformative impact on display technologies, optical imaging, and sensing. However, mass-producing high-quality planar photonic components remains limited by current multi-step lithographic processes that are inefficient, costly, and environmentally burdensome. HoloMorPh will overcome these challenges by combining innovations in digital holography, structuring-enhancing meta-optics, and light-responsive materials. The “holomorphing” process will include automatic self-optimization of surface geometries via a real-time feedback loop that integrates digital holographic microscopy as the in-loop metrology sensor, artificial intelligence, and a distributed cloud-based network to enable tuning of the ready-to-use optical elements while they form. HoloMorPh’s interdisciplinary approach leverages the complementary expertise of the team in materials chemistry, holography, meta-optics, machine learning, cloud computing, optical engineering, and environmental science to deliver customizable photonic components for augmented reality, beam shaping, and adaptive optics.

Keywords: sustainable lithography planar photonics surface photopatterning photosensitive material engineering digital holography structured light meta optics computational intelligence ar technologies
Actics Digital Therapeutics: Transforming Diabetic Care - Saving Limbs & Lives with AI-Powered, Remote Proactive Therapy (Actics)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Israel
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Actics is a pioneering digital therapeutics startup revolutionizing foot therapy through innovative digital and bio-mechanical solutions. With two patents and a cutting-edge technological platform, Actics is transforming the outdated foot therapy industry by offering advanced, accessible, cost-effective products that enhance health, mobility, and overall well-being for patients with various foot disorders and mobility impairments. Actics' vision is to provide a holistic solution within a single device, enabling real-time remote monitoring, diagnostics, and curative intervention capabilities. By leveraging AI, IoT, innovative biomechanics, and composite materials, Actics empowers healthcare providers to deliver personalized, proactive, and effective care while enabling patients to manage their health and improve their mobility. The company has made remarkable progress in developing an innovative smart insole solution for preventing and managing Diabetic Foot Ulcers (DFUs). The technological journey began with extensive research, followed by creating a smart insole prototype that was rigorously tested and validated at the Hadassah Medical Center Gait Lab, demonstrating an impressive 98% accuracy correlation compared to gold-standard equipment. A successful clinical pilot study conducted at Hadassah Medical Center and New York University (NYU), involving 13 patients, yielded promising results. At TRL 7, Actics is preparing for a full clinical trial using the 2nd-generation prototype of the Hybrid+TM product, marking a significant milestone in the company's journey toward commercialization and market readiness. Actics boasts a diverse team of highly skilled professionals, including CEO Machanian, Chairman Egert, electronics engineer Katz, and medical experts Dr. Elishoov and Prof. Cahn. Supported by leading law and patent firms, the team is well-equipped to deliver disruptive solutions that improve patient outcomes and reduce healthcare financial burdens worldwide.

Keywords: digital therapeutics,diabetic care,remote proactive therapy,diabetic foot ulcers,dfu,foot health,bio mechanical technologies,telemedicine
Explore the role of NK cells in post-treatment control of HIV-1 infection: impact of genetic background and early treatment initiation (HICoNK)

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: Life Sciences
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-10-01
End date: 2026-09-30
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 1
Project status: SIGNED

Antiretroviral therapy (ART) blocks HIV replication but cannot eliminate viral reservoirs that originate viral rebound if ART is discontinued. However, the host laboratory originally described some individuals, post-treatment controllers (PTC), capable to durably control viremia after ART discontinuation. More recently, the group has found that HLA B*35 alleles (usually associated with rapid progression in the absence of ART) are paradoxicaly overrepresented in PTCs and are accompanied with an MHC immunogenetic fingerprint (termed Bw4TTC2 by the lab), related to KIR-education of NK cells. The proposed work aims to better characterize transcriptional and functional signatures of NK cells in PTC and other people with HIV (PWH), their evolution since primary infection, during ART, and after ART discontinuation, and in regard of immunogenetic factors. These will be done in three different settings: (i) crossectional analysis in groups of people with well-characterized HIV status; (ii) longitudinal samples from the biobank of the primate-VISCONTI study (pVISCONTI); (iii) prospective study of samples from individuals on ART since primary HIV infection and carrying B*35 Bw4TTC2 , who will undergo ART interruption (ATI) in the context of the ANRS RHIVIERA01 clinical trial. Overall, this proposal should unveil the phenotype and functional activities of NK cell subsets more relevant to post-treatment control, the influence of early ART initiation and of immunogenetic factors. This information may provide important insight for the development of new immunotherapies aiming HIV remission.

Keywords: nk cells,hiv 1,innate immunity,infection control
The role of the gut microbiome in host responses to environmental variation: within and across generations and species (MiMeRe)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Environmental B iology, Ecology  and E volution
Panel description: For all organisms : Ecology, biodiversity, environmental change , evolutionary biology, behavioural ecology, microbial ecology , marine biology, ecophysiology, theoretical developments and mod elling
Countries involved: Finland
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): 1999943.0
EU funding (EUR): 1999943.0
Participants: 1
Project status: SIGNED

The gut microbiome is strongly linked to health and sickness. A current key challenge is to understand how the microbiome helps the host adapt to environmental variation. Yet, most research originates from few laboratory animal models and thus misses large parts of environmental, physiological and life-history variation, while data from wild populations and species is needed. Thus, our overarching aim is to unravel how the microbiome mediates host’s responses to environmental variation, covering molecular to evolutionary scale, using wild birds as a study system. We focus on how gut microbiome helps hosts to cope with temperature variation, given the pervasiveness of temperature as a challenge across taxa, and climate-crisis driven thermal challenges. The objectives: (O1) To study the role of the microbiome in mediating host (adaptive) reversible thermal plasticity in adulthood (O2) To assess the role of the microbiome in mediating host (adaptive) developmental and transgenerational thermal plasticity, and explore the underlying epigenetic changes (O3) To quantify the contribution of host genetic variation and the microbiome on host thermal physiology (O4) To explore the macroevolutionary patterns of microbiome and host thermal physiology (O5) To examine the underlying molecular mediators of host-microbiome interactions To understand the causal role of microbiome, we apply state-of-the-art methods (incl. microbiome transplants) within and across populations (O1) and generations (O2), and identify the molecular mediators (incl. bacterial vesicles; O5), many tools adapted from the biomedical field to eco-evo research. We further use quantitative genetics, reaction norms, selection lines (O3) and multivariate phylogenetic models (O4), rarely used in host-microbiome field, opening new lines of research. We produce ground-breaking findings on the microbiome-mediated mechanisms of phenotypic variation, which helps to predict how organisms respond to anthropog

Keywords: gut microbiome,thermal physiology,host microbiome interactions,phenotypic plasticity,developmental plasticity,parental effects,ecological epigenetics,avian physiology
Providing cutting edge cancer research services across Europe (canSERV)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: Services and infrastructures
Action type: Research and Innovation actions
Countries involved: Austria,Finland,Germany,Netherlands,Italy,United Kingdom,Belgium,France,Spain,Portugal
Call: Research infrastructures services to support research addressing cancer (HORIZON-INFRA-2021-SERV-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 14866440.5
EU funding (EUR): 14866440.5
Participants: 20
Project status: SIGNED

canSERVs mission is to make cutting-edge and customised research services available to the cancer research community EU wide, enable innovative R&D projects and foster precision medicine for patients benefit across Europe. By connecting, coordinating, and aligning existing oncology and complimentary research infrastructures (RIs) and providing services in a synergistic way transnationally, canSERV will capitalise on the critical mass of experts and cutting-edge services offered by canSERVs RIs and their extended network. canSERV brings together world-class European life science RIs (BBMRI, EURO-BIOIMAGING, ELIXIR, EU-IBISBA, EuroPDX, EU-OPENSCREEN, INSTRUCT, EATRIS, INFRAFRONTIER, EMBRC, ECRIN, EATRIS, MIRRI, ARIE, CCE, EORTC and IARC) that collectively not only covers all aspects along the development pipeline for oncology, but is also capable of interconnecting these technologies providing users a guidance for navigating them through the entire translational value chain. A patient organisation or resp. governance board members wil bring the patients perspective, while the two SMEs, ARTTIC and ttopstart, will provide valuable input regarding stakeholder engagement, and project management activities. A common access management system (CAMS) will be developed based on mature solutions from INSTRUCT and BBMRI. The CAMS will provide a method for selection of services, construction and submission of research proposals, multi-step review of research proposals, and tracking of the access process from approval through delivery to conclusion. Through a united user-intuitive transnational access where a united catalogue of oncology services will be offered, our users will have access to a comprehensive service portfolio. As our ambition is to scale up canSERV to a pan-European collaboration of RIs for accelerating the development and implementation of solutions for the cancer patient community, the sustainability of this network beyond the end of the project will also be addressed.

Keywords: research infrastructure oncology cancer research
Adpative DBS (alphadbs)

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: Italy
Call: EIC Accelerator Open (HORIZON-EIC-2022-ACCELERATOR-01, 2022)
Start date: 2023-03-01
End date: 2025-02-28
Duration (months): 24.0
Total project cost (EUR): 3725437.5
EU funding (EUR): 2499999.0
Participants: 1
Project status: CLOSED

Differently from other DBS systems on the market, the AlphaDBS can be programmed with two different types of stimulation: conventional DBS, which is implemented also by other DBS systems, and adaptive DBS (aDBS) that automatically adjusts the energy delivered to patient using a biosignal, local field potential (LFP), in a close loop configuration. LFPs represent the synchronous presynaptic and postsynaptic activity of neuronal populations and can be recorded with the macro-electrodes routinely implanted for cDBS. In Parkinson Disease, LFPs (especially in beta-band) are specifically modulated by dopamine intake, movement execution and preparation, and that they encode non-motor functions, such as decision making. The beta band power represents the input variable to the adaptive algorithm, implemented by the AlphaDBS system, which, every second computes a new stimulation value.
Uncovering Inequality in Health and Healthcare: Data-Driven Insights for Policy Change (HEALTHINEQ)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance , management
Countries involved: United Kingdom
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2025-12-01
End date: 2030-11-30
Duration (months): 60.0
Total project cost (EUR): 2439999.5
EU funding (EUR): 2439999.5
Participants: 1
Project status: SIGNED

HEALTHINEQ addresses the persistent and complex issue of health inequalities across socio-economic groups. Despite significant efforts in healthcare and public policy, these disparities remain a critical challenge. The proposal aims to explore and mitigate these inequalities by investigating the underlying mechanisms, from social determinants to disparities in healthcare access and technology. HEALTHINEQ aims to achieve this through three key objectives: 1/ Measurement and Data Integration: HEALTHINEQ integrates detailed health records and administrative data at a population scale in the Netherlands and Sweden and develops comprehensive, dynamic measures of health. This exceptional data allows for robust analysis of gaps in health and healthcare, how they arise over the life-course and interact with different socio-economic factors. 2/ Mechanism Exploration: HEALTHINEQ leverages the rich data in combination with advanced empirical methods in a comprehensive framework. This will provide a clear understanding of the dynamic mechanisms involved, distinguishing underlying drivers from mediators, and differentiating between the incidence versus survival of diseases. The project will examine each mechanism’s relationship with prevention, detection, and treatment policies, as well as with health insurance and healthcare innovation. 3/ Policy Impact: HEALTHINEQ aims to inform more effective and equitable health policies. By offering actionable recommendations and influencing high-level debates, it seeks to support data-driven policy reforms to address and mitigate health inequalities. In summary, HEALTHINEQ represents a significant advancement in the study of health inequalities, offering a comprehensive and innovative approach to understanding and addressing this critical issue. The project’s focus on population-scale data and health measurement, combined with frontier empirical methods, positions it to make a substantial impact on both academic research and health policy.

Keywords: inequality,health,healthcare,health insurance,behavioral anomalies,prevention,incidence vs treatment,screening,prediction models,health dynamics,healthcare innovation,measurement,registry data
high-Coherence, ultraCold electron diffraction for molecular movies of membrane Proteins (CoCoPro)

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: Physics
Countries involved: Netherlands
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-09-15
End date: 2025-05-14
Duration (months): 32.0
Total project cost (EUR): 254330.4
EU funding (EUR): 254330.4
Participants: 2
Project status: CLOSED

Imagine we could make movies of proteins in action. In this project, I propose to develop a unique, table-top setup based on the diffraction of ultracold electrons that does exactly that: make molecular movies of proteins, in particular of the important class of membrane proteins. This tool could revolutionize biochemistry, yielding an ultimate view of nature’s molecular machinery, and helping scientists to understand membrane-protein-related diseases and develop highly targeted medicines. A unique source, developed at the TU/e and based on the femtosecond photoionization of an ultracold gas, generates electron pulses that should in principle be sufficiently short, intense and coherent to enable electron diffraction on 2D crystals of membrane proteins. In this project I will evaluate the source’s capability to generate high-quality diffraction patterns from 2D crystals of e.g. hydrophobin and bacteriorhodopsin. Next, I will measure a sequence of such diffraction patterns in a pump-probe experiment, to obtain a molecular movie of the light-induced conformational change of bacteriorhodopsin. This will be the first protein molecular movie ever obtained on a table-top setup. In parallel, I will improve the source performance. Accelerating the electrons to higher energies (from 10 to above 100 keV), I can keep the sample in its native, aqueous environment inside a Liquid Cell, which strongly extends the applicability of the setup. Modifying the spatial and spectral properties of the ionization laser, I expect to be able to increase the number of electrons per pulse, allowing single-shot diffraction patterns, and to further increase transverse coherence, reducing the required crystal size. Finally, I will seek to improve the coherence of the source to the point where I can apply my experience in Coherent Diffractive Imaging to make molecular movies of a single protein, without crystallization, which is a holy grail in structural dynamics, all on a table-top setup.

Keywords: ultrafast electron diffraction,molecular movie,membrane proteins
Control for Deep and Federated Learning (CoDeFeL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Germany,Spain
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2024-09-01
End date: 2029-08-31
Duration (months): 60.0
Total project cost (EUR): 2499224.0
EU funding (EUR): 2499224.0
Participants: 2
Project status: SIGNED

Machine Learning (ML) is forging a new era in Applied Mathematics (AM), leading to innovative and powerful methods. But the need for theoretical guarantees generates challenging, fundamental, deep mathematical questions. This great challenge can be addressed from the perspective of other, more mature areas of AM. CoDeFeL seeks to do so from the rich interface between Control Theory (CT) and ML, contributing to the analytical foundations of ML methods, significantly enlarging, and updating the range of applications of CT. As our recent results show, classification, regression, and prediction problems in Supervised Learning (SL) and the Universal Approximation Theorem can be successfully recast as the simultaneous or ensemble controllability property of Residual Neural Networks (ResNets). Following this path, we will develop ResNets of minimal complexity and cost, addressing the deep, intricate issue of linking the structure of the data set to be classified with the dynamics of the networks trained. Taking the turnpike principle as our inspiration, we will build new simplified ResNet architectures. This, however, raises major challenges for the genuinely nonlinear dynamics that ResNets represent.Adjoint methods will also be developed and applied, to understand the sensitivity of ResNets, and proposing techniques for Adversarial Training and computing Saliency Maps, applicable in Unsupervised Learning. The project is strongly inspired on the challenges arising in relevant applications in digital medicine and internet recommendation systems, among other areas. Accordingly, we will also develop a body of rich, hybrid, cutting-edge methods for data-aware modelling, combining ResNet surrogate models and those inspired on Mechanics, with the aid of Model Predictive Control strategies. New Federated Learning methodologies with privacy preservation guarantees will also be developed. The computational counterparts will be brought together in a new CoDeFeL GitHub repository.

Keywords: supervised learning,data aware modelling,federated learning