Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Revolutionizing Industrial Safety: Breakthrough AI for Unmatched Human-Machine Hand Tracking with Vision-Based Predictive Safety (SaferHands)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Sweden
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

Despite mature safety regulations and a culture that tends toward compliance, current industrial safety solutions are falling short, as they tend to be reactive rather than proactively addressing user-centric needs. This inadequacy is starkly illustrated by alarming statistics: the Occupational Safety and Health Administration (OSHA) reported 18,000 amputations in the USA in 2020, the Health and Safety Executive (HSE) noted 13,000 non-fatal injuries in the UK the same year, and Germany faces 500 fatalities annually according to the Bureau of Labor Statistics (BLS). Research suggests that most accidents are avoidable, it’s a question of individuals and industries complying with existing regulations. High-precision, low-consumption, and zero-latency requirements are crucial for predictive safety solution that monitors environment in real time. However, today’s data-driven technologies do not satisfy these requirements. By automating safety compliance, we can take humans out of harm’s way. ManoMotion industrial safety software solution powered by AI nd ML, combined with standard sensors, can drastically reduce industry-related hand injuries. ManoMotion tool will be connected to cameras that will be placed on dangerous machines to monitor the operator's safety in real time and send warning and emergency signals while operating to develop a predictive safety solution. This commitment to Industry 5.0 principles underscores our dedication in achieving over 99% accuracy in gesture recognition, reducing workplace accidents near zero and revolutionizing how industries approach safety and efficiency.
Recorded Sound Propaganda of the Italian Fascist Regime (REDIRE)

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: Social Sciences and Humanities
Countries involved: Germany,Italy
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-10-01
End date: 2025-09-30
Duration (months): 24.0
Total project cost (EUR): 189687.36
EU funding (EUR): 189687.36
Participants: 3
Project status: SIGNED

If much has been said about the use of radio by the Italian fascists to establish and lead a regime that they wanted totalitarian from its advent, other devices of technicized sound, especially discs and their political affordances and effects, have been neglected. However, discs and phonographs were among the first technical sound devices and media to be available for political propaganda. Since the end of the 19th century, they have enabled political actors in the USA and Europe to transcend the time and space of their practice and to multiply their presence. In the interwar period, discs and recorded sound became fundamental parts of propaganda devices designed to elicit ideas, behavior, and adherence to a political project from massive audiences through sound. It appears then necessary to question the political functioning, the practices, and the social effects of propaganda discs, alone or associated with the radio or the loudspeaker, especially in a regime that its actors wished totalitarian. With "REcorded Sound PropaganDa of the Italian Fascist REgime" (REDIRE), I wish to inform the political role and effects of discs in the context of Italian fascism and to participate to the reflection on the political functioning of (technicized) sound, especially in a totalitarian regime. To do so, I will study the propaganda conceived by the regime to support the policies of development or perpetuation of fascism in time (education, identity, conservation and manipulation of cultural heritage) and space (colonization, war, transnational soft power, international existence of Italy). Through an investigation of the State archives and the press, I will examine the political uses of recorded sound engaged by fascist socio-technical networks, from their imaginary conception to their realization and their social effects. Finally, fascist and nazi recorded sound propaganda will be compared to better understand the political functioning of sound in a totalitarian regime.
Learning and modeling the molecular response of single cells to drug perturbations (DeepCell)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Integrative B iology : from Genes and Genomes to S ystems
Panel description: For all organis ms: Genetics, epigenetics, genomics  and other ‘omics studies , bioinformatics, systems biology , genetic diseases , gene editing, innovative methods and modelling,  ‘omics for personalised  medicine
Countries involved: Germany,United Kingdom
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 2497298.0
EU funding (EUR): 2497298.0
Participants: 3
Project status: SIGNED

Advances in single-cell genomics (SCG) allow us to read out a cell’s molecular state with unprecedented detail, increasingly so across perturbations. To fully understand a cellular system, one must be able to predict its internal state in response to all perturbations. Yet such modeling in SCG is currently limited to descriptive statistics. Building upon my expertise in machine learning, I propose to systematically model a cell’s behavior under perturbation, focusing on the largely untouched area of drug-induced perturbations with multiomics SCG readouts. A sufficiently generic model will predict perturbed cellular states, enabling the design of optimal treatments in new cell-types. In a pilot study, we predicted gene expression changes of a cell ensemble in response to stimuli. DeepCell builds upon this approach: Based on a multi-condition, multi-modal deep-learning approach for both normal and spatially-resolved genomics, we will set up a constrained, interpretable model for the cellular expression response to diverse perturbations. The added flexibility of the DeepCell model versus classical small-scale systems biology models will allow us to interrogate the effects of combined drug stimuli and characterize the gene regulatory landscape by interpretation of the learned deep network. DeepCell provides unique possibilities to capitalize on cell-based drug screens to address fundamental questions in gene regulation and predicting treatment outcomes. As a proof of concept, I will identify targets that regulate enteroendocrine lineage selection in the intestine. I will set up a 500-compound single-cell organoid RNA-seq screen based on compounds from a spatial imaging screen across 200,000 intestinal organoids, both of which we will model with DeepCell. We will leverage those models to predict optimal treatment for obese mice. DeepCell opens up the possibility of in silico drug screens, with the potential to expedite drug discovery and impact clinical settings.

Keywords: single cell genomics,machine learning,deep learning,drug screening,gene regulatory networks
Integrating Temperature and Air Pollution Forecasts into a Pan-European Multi-Hazard Occupational Health Early Warning System (OCCU-GUARD)

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: Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-09-01
End date: 2028-08-31
Duration (months): 24.0
Total project cost (EUR): 209914.56
EU funding (EUR): 209914.56
Participants: 1
Project status: SIGNED

Ambient temperatures and air pollution are considered as the most important environmental health risk factors causing more than half a million premature deaths every year in Europe alone. However, there is still an insufficient understanding of other short-term health impacts such as occupational health. Moreover, current early warning systems are generally based on temperature or air pollution thresholds only and they do not account for the inequalities in vulnerability of the exposed workforce. OCCU-GUARD will go beyond these limitations by analysing occupational accident risks associated with the joint exposure to ambient temperatures and air pollution in Europe, describing its modification by key socioeconomic factors, and developing a new generation of Pan-European multi-hazard occupational health early warning system accounting for real risks and impacts on the vulnerable workforce. Towards this aim, OCCU-GUARD will generate an enormous database with daily counts of occupational accidents disaggregated by sociodemographic vulnerable groups, together with the best climate, air pollution and macroeconomic datasets. Afterwords, the project will characterize epidemiological models between air pollution and temperature observations and occupational health records; the project will analyse the effect of macroeconomic cycles on these relationships; and the project will use these models to transform temperature and air quality forecasts into occupation health predictions representing the first Pan-European multi-hazard occupational health early warning system. OCCU-GUARD will largely contribute to the EU Strategic Framework on Health and Safety at Work because it will allow the activation of fit-for-purpose alerts and emergency plans directly targeting vulnerable groups, which is relevant information to key end-users such as industries concerned with workforce well-being, outdoor workers, trade unions, healthcare institutions, insurance companies and others.

Keywords: early warning system,temperature,air pollution,occupational health,public health,epidemiology,heat,cold,macroeconomic cycles,recession,expansion,europe,climate change,adaptation
EUROPEAN PARTNERSHIP FOR BRAIN HEALTH (EP BRAINHEALTH) (EP BrainHealth)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Other health destinations
Action type: COFUND actions
Partnership: Brain Health (co-funded)
Countries involved: Germany,Spain,France,Türkiye,Finland,Italy,Latvia,Estonia,Malta,Belgium,Austria,Luxembourg,United Kingdom,Sweden,Ireland,Norway,Croatia,Portugal,Denmark,Switzerland,Lithuania,Slovakia,Poland,Romania,Iceland,Moldova, Republic of,Netherlands,Canada,Israel,Slovenia,New Zealand,Hungary,Czechia,Greece
Call: European Partnership for Brain Health (HORIZON-HLTH-2025-02, 2025)
Start date: 2026-01-01
End date: 2035-12-31
Duration (months): 120.0
Total project cost (EUR): 488345045.33
EU funding (EUR): 146503513.61
Participants: 59
Project status: SIGNED

Brain disorders, including neurological and mental disorders alike, are a major cause of death and disability in Europe and worldwide. The aftermaths of the Covid-19 pandemic, geopolitical and environmental crises and increasing economic pressure in many countries further aggravate the situation, in particular for the most vulnerable. Hence, maintaining brain health and coping with the burden of brain disorders are paramount for societies in Europe and worldwide. To take on these grand challenges, a coordinated and holistic research and innovation initiative - the European Partnership for Brain Health (EP BrainHealth) - is implemented as a major joint effort of the European Commission, Member States, Associated Countries, international and global partners. The vision of EP BrainHealth is improved brain health for all, using scientific knowledge as a ground to promote brain health and to prevent and cure brain diseases. By capitalising on existing initiatives and linking with all relevant stakeholders, the partnership strengthens transnational collaboration to increase and align investments in brain health research and innovation. The mission is to enhance understanding of the brain in all its dimensions and to foster translation of research results into tailored and accessible solutions for prevention, diagnosis, treatment and care with tangible impact for societies. A Strategic Research and Innovation Agenda outlines joint strategic priorities and the main lines of action that are translated into concrete activities and tasks in the EP work plan. Nine ambitious work packages are dedicated to a broad range of activities, including funding of research and innovation, bridging with private sector and the healthcare system, building research capacities and engaging and empowering citizens and patients. All activities feed into four central hubs: increasing competitiveness, accelerating innovation, building capacities and structuring the BrainHealth ecosystem.

Keywords: mental health,mental disorders,neurological diseases,neurodegeneration,translation,innovation,neurotechnology,transnational collaboration
Integrating ecosystem resilience around thresholds in aridity: unveiling nature-based mechanisms to endure abrupt desertification (INERTIA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Spain
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-09-01
End date: 2030-08-31
Duration (months): 60.0
Total project cost (EUR): 1499950.0
EU funding (EUR): 1499950.0
Participants: 1
Project status: SIGNED

Resilience (the ability of ecosystems to withstand disturbances without losing its structural or functional properties) is crucial to confront changes imposed by climate change such as ongoing increases in aridity. This is especially relevant for drylands, which have been shown to exhibit abrupt changes in their structure and functioning once that certain aridity thresholds are crossed. However, we have very little understanding on the drivers and patterns of resilience around aridity thresholds, which hinders our ability to monitor, preserve and restore degraded ecosystems under climate change. Existing uncertainties arise from the complexity of studying resilience (which is multifaceted concept and operates at contrasting levels of organization of ecosystems), and from the lack of studies addressing the resilience of drylands around and across aridity thresholds. INERTIA will combine long-term experiments, remote sensing, multiple spatiotemporal scales and global field surveys to address all facets of resilience across contrasting levels of organization of ecosystems around and across global aridity thresholds. In particular, I aim to: i) evaluate the multi-faceted nature of resilience to boost remote sensing monitoring schemes, ii) unveil drivers of global resilience across levels of organization (from climatic to physiological drivers), specifically around aridity thresholds and iii) evaluate and improve our capacity to restore ecosystems across aridity thresholds. By doing so, INERTIA will provide cutting-edge advances in our understanding of resilience and its potential to monitor, evade and recover from abrupt shifts triggered by crossing aridity thresholds. The knowledge gained by INERTIA will underpin international initiatives aimed at mitigating global change and desertification or restoring degraded drylands and may open new research avenues on ecology of ecosystems at the edge of thresholds, a topic of increasing relevance due to ongoing climate change.

Keywords: resilience,thresholds,desertification,drylands
Capturing tumoral drug metabolism by Cells In the Tissue Environment using spatial pharmacometabolomics (CITE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physical and Analytical Chemical Sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2024-12-01
End date: 2029-11-30
Duration (months): 60.0
Total project cost (EUR): 2481640.0
EU funding (EUR): 2481640.0
Participants: 1
Project status: SIGNED

Small molecule anti-cancerSmall molecule anti-cancer therapies generally have a well understood mechanism of action. Still, they are frequently plagued by poor efficacy and high rates of treatment resistance, especially in the context of pancreatic cancer. One promising newly recognised route of therapy resistance is intratumoral drug inactivation through members of the tumour microenvironment (TME) such as the tumour-associated microbiome. With the CITE project, I aim to develop novel analytical technologies that enable us to study drug metabolism by the TME in situ and in isolation from systemic drug metabolism and provide a novel platform for selectively studying the contribution of the TME to drug resistance mechanisms. . I will deploy a spatial pharmacometabolomics approach using Laser Desorption Rapid Evaporative Ionisation Mass Spectrometry (LD-REIMS). First, a novel and sensitive source setup including laser optics and high efficiency aerosol transfer will be developed, followed by instrumental setups for imaging applications at (sub)cellular resolution, high throughput acquisition of cell lines and thick tissue section imaging. Subsequently, a spectral database of abundant (tumour, endothelial cells, fibroblasts etc) and rare cell types (immune cells, microbiome) in the TME will be created to enable cell-type specific assignment of drug delivery and drug metabolism in mass spectrometry imaging datasets and validated using imaging mass cytometry. I will develop a organotypic culture (3D-OTC) model of pancreatic cancer to study isolated, intratumoral drug metabolism in a controlled environment while still using relevant clinical material. We will use pancreatic cancer from a genetically engineered mouse as model system to develop our novel analytical technologies and to assess intratumoral metabolism of small molecule cytotoxics and targeted chemotherapies used to treat pancreatic cancer. Lastly, these findings will be translated to tissues of human origin.

Keywords: drug metabolism,tumour microenvironment,mass spectrometry imaging
PUSHING THE LIMITS OF LARGE-SCALE ENERGY STORAGE: OPTIMIZED COMBINED CYCLE CAES (PUSH-CCC)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Challenges
Action type: EIC actions
Countries involved: Spain,Greece,Italy
Call: EIC Pathfinder Challenge: Mid to long term and systems integrated energy storage (HORIZON-EIC-2022-PATHFINDERCHALLENGES-01, 2022)
Start date: 2023-10-01
End date: 2027-09-30
Duration (months): 48.0
Total project cost (EUR): 3426308.75
EU funding (EUR): 3426308.75
Participants: 7
Project status: SIGNED

PUSH-CCC proposes to solve the key existing limits of Compressed Air Energy Storage (CAES) scalability, replicability, efficiency, and energy density while boosting its cost-effective commercial development in Europe by bringing a breakthrough CAES concept to TRL4, which is based on a novel optimized integration of advanced technology and scientific advances beyond the state of the art, pushing the efficiency and profitability of the volatile-fluid-based isobaric adiabatic Combined Cycle CAES (CCC) patented by RIEGOSUR, a scientifically proven high-potential concept due to the enhancement of turbomachinery efficiency and cavern volume minimization. The construction of an experimental cavern lab in the Canary Islands will lead to the first isobaric adiabatic CAES system at TRL4 in Europe, while meeting the expected outcomes of the Challenge, filling in the existing gaps to accelerate the penetration of renewable energies in the grid. PUSH-CCC brings together expert partners to solve the key scaling, efficiency and profitability issues by leveraging an AI-based optimized heat pump cycle to minimize the energy requirements of the volatile fluid processes in real-time considering climatological conditions (I), a cost-effective large-scale membrane for suitable operation in the hard-rock cavern (II), optimized turbomachinery for AA-CAES applications (single-stage compressor) (III), a cost-effective, efficient heat storage technology based on innovative heat exchangers and heat storage medium (IV), a disruptive AI-based hierarchical control system (V); bringing a high-efficient (>80%), cost-effective technology with high replication potential (high energy density 11.8 kWh/m3 allows hard rock areas which are a major part of the continental land-use). Autonomous plants will operate with atmospheric air and closed loop water & CO2, which will be captured (10 kTn of CO2 per year for a standard 500 MW plant) from the overloaded atmosphere with an innovative system.

Keywords: compressed air energy storage single stage compression air heat exchange air heat storage ai based hierachical control large scale energy storage isobaric adiabatic cycle hard rock bedded cavern