Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A NEW DRUG TO TREAT TRIPLE NEGATIVE BREAST CANCER (CanceRusolution)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: Portugal
Call: Women TechEU (HORIZON-EIE-2021-SCALEUP-01, 2021)
Start date: 2022-06-01
End date: 2023-05-31
Duration (months): 12.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

R-nuucell is developing a new drug to treat Triple Negative Breast Cancer (TNBC) for which there is not any specific and efficient treatment in the market, making this disease an unmet clinical need. The aggressivity of TNBC is due to the easiness of its metastization expanding the cancer through the body inevitably leading to death. So far, we gathered a set of results showing the antimetastatic potential of our new drug which mode of action would, conceptually, be able to eliminate the deadliest feature of cancer cells – their ability to invade and metastasize. This happens because the target of our drug is the cells’ foundation (ie the cytoskeleton). Thus, destroying the cytoskeleton of cells is like shaking the foundations of a house, it will be tumble-down! With the Women TechEU program we will consolidate the proof-of-concept of the drug’s efficiency against metastases through two sets of in vivo studies in nude mice, and we will start the pre-clinical studies by performing pharmacokinetics (drug absorption, distribution, metabolism and excretion). Also, in view of the natural future development of our drug we will start to develop its synthesis scale-up from the milligram to the multigram scale. Women TechEU program mentoring and coaching will be also key to consolidate our business plan and to approach partners and investors towards a fundraising Level A in the near future. This level of funding (~1 M€) will enable to finish our pre-clinical studies and place R-nuucell in the position to license its international patent, one of the company’s assets (PT108082B, EA038640B1, EP3227307B1, CN107466297B, JP6726678B2, US15/533,289, under examination on Canada, Brazil and India), to a pharmaceutical company using a “business-to-business” strategy.

Keywords: metastatic cancer ruthenium drug targeted therapy
New Christian Materiality, 1450-1750 (Materia)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Study of the Human Past
Panel description: Archaeology and history
Countries involved: United Kingdom
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 2497781.0
EU funding (EUR): 2497781.0
Participants: 1
Project status: SIGNED

New Christian Materiality, 1450-1750. The New Christian trading elite, descending from Jewish communities forced to convert between 1391 and 1498 in Iberia, was at the forefront of intercontinental trade from the late fifteenth to the early eighteenth centuries. They became experts on material culture, sourced commodities from different continents, and developed markets. This project will answer the question: how did New Christian expertise in material culture influence patterns of consumption where they lived and traded? This question addresses a historiographical gap between material culture, consumption, and social agents involved in intercontinental trade. The hypothesis that undergirds this project is that the liminal condition in which the New Christians were placed – forced to convert but never fully integrated under constant suspicion and prosecution from the Inquisition – favoured their diaspora, resilient networks, and innovative behaviour across continents. The four pathways framed by the key orientations of this project will be: a) commodities and expertise; b) agents and markets; c) environment; and d) gender. It is a global project, based on extensive archival research, that will identify how expertise was built, links between production and trade were established, gendered consumption developed, and houses were built and decorated for enhanced status and marketing. It will place social and individual agency at the core of research. It will bring together economic, social, and art history, geography, gender studies, environmental studies, and the sociology of inequality. The focus will be on New Christian materiality and its influence on consumption, keeping a critical view on environmental impact and the inequality the New Christians reacted to but also produced. It is ultimately a transformative project: for the first time, an ethnic group will be the object of a global project of research concerning material culture and patterns of consumption.

Keywords: material culture,new christians,consumption,networks,trade,global expertise,gendered diaspora,social inequality,environmental impact
Deep-sea fish vision pushing limits of the vertebrate eye (SensingDEEP)

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: Czechia
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-07-01
End date: 2029-06-30
Duration (months): 60.0
Total project cost (EUR): 1996250.0
EU funding (EUR): 1996250.0
Participants: 1
Project status: SIGNED

Deep-sea fishes are known for extraordinary adaptations including enhanced sensory systems. They have eyes often modified in shape, anatomy or at the molecular level. Fascinatingly, some deep-sea fishes have evolved unique vision to potentially see colours. Here I propose to study functional evolution of this visual system, and to target the crucial question – can deep-sea fish see in colours? To perceive light, vertebrate retina has two types of photoreceptor cells, the rods for dim-light vision and cones for daylight colour vision. Many deep-sea fish lack cones, which makes them colour blind. The novel visual system based purely on multiple different rod opsins possibly overcomes this limit, and it is not found in any other vertebrate. In SensingDEEP I aim to “zoom” into the level of single rod/cone cells to understand deep-sea molecular adaptations of vision. I will target species with 1) the novel multiple-rhodopsin visual system and test if it has a potential to serve for colour discrimination. With multiple rhodopsins expressed in the retina, single-cell transcriptomics will either reveal rod cells sensitive to different colours, or alternatively, “superpowerful” rods sensing along the entire light spectrum. Both options would be unique among vertebrates. Further I aim to focus on the deep-sea species with 2) challenged rod and cone cell identity with mismatch of molecular machinery of both (rod and cone) types. Lastly, I will also test 3) how rare these extreme adaptations are in deep-sea fish diversity using the high-quality whole-genome sequencing. In the species with multiple rhodopsins, I will specifically focus on their genomic architecture and gene regulation by applying single-cell multiomics. SensingDEEP combines modern genomic tools with rare and unique samples. Given that vertebrate eye is a conserved structure, the deep-sea fish with extreme adaptations will, therefore, serve as a model to explore (and push) the limits of vertebrate vision.

Keywords: vision,deep sea,fish,adaptation,rhodopsin,molecular evolution,gene duplication,rod,cone,retina,extreme environment,deep ocean
Brain-inspired Intelligence for Semantic Video Compression (BrainCode)

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: Information Science and Engineering
Countries involved: Greece,United States
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-01-01
End date: 2027-12-31
Duration (months): 36.0
Total project cost (EUR): 279227.52
EU funding (EUR): 279227.52
Participants: 2
Project status: SIGNED

The BrainCode project proposes novel compression techniques for extended reality (XR) data which are energy efficient while ensuring a reconstruction quality that satisfies the human visual semantic perception. There are several challenges concerning the complexity and the power consumption of the latest video compression standards which have not yet taken into account by the signal processing community. We propose that these challenges can be addressed by machine learning based architectures in order to avoid the exhaustive comparisons between sequential frames. We aim at releasing a semantic video compression algorithm that uses Convolutional Neural Networks (CNNs) and drives the bit allocation with respect to the content of the visual scene. Another goal of BrainCode is to mimic the visual system as an intelligent mechanism that processes the visual stimulus. This can be claimed as it consumes low power, it deals with high resolution dynamic signals and the dynamic way it transforms and encodes the visual stimulus is beyond the current compression standards. During the last decades, a lot of effort has been made to understand how the visual system works, what is the structure and role of each layer and individual cell that lies along the visual pathway, and how the huge visual information is propagated and compacted through the nerve cells before it reaches the visual cortex. There are very interesting mathematical models which approximate the neural behaviour and they have been widely used for image processing applications including compression. The BrainCode project searches the latest neuroscience models for the design of a groundbreaking XR video compression architecture. The efficiency of the above approaches is expected to improve several image processing applications like computer vision, virtual reality, and video compression among other, where the real-time processing of the visual scene plays a substantial role.

Keywords: extended reality,immersive presence,semantic compression,convolutional neural networks,dynamic processing,visual system,biological neural networks,event based processing
Image-to-Image-Translation for Data Calibration in Brain Stroke Microwave Imaging (I2I-StrokeCal)

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: Information Science and Engineering
Countries involved: Italy,Canada,France
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-02-01
End date: 2028-07-31
Duration (months): 30.0
Total project cost (EUR): 242054.1
EU funding (EUR): 242054.1
Participants: 4
Project status: SIGNED

Stroke is a leading cause of death and disability in the European Union. The use of microwave imaging (MWI) for brain stroke diagnosis has attracted growing interest in the past decade thanks to its non-invasiveness and low costs. Furthermore, thanks to its portability, brain MWI holds significant promise for widespread adoption in-ambulance, dramatically reducing intervention time. Data calibration still holds a strong limit to this application, where the need for a physical phantom of the patient head is the main bottleneck. I2I-StrokeCal will develop and validate a novel method to perform data calibration relying solely on the patient measurement, thus without additional phantom measurements. This step-change will be attained through 3 specific objectives: (O1) development of the first dataset of brain MWI data in the literature; (O2) training and test of an image-to-image translation (I2I) tool which calibrates synthetically generated MWI data; (O3) training and test of the final I2I model which calibrates experimental MWI data. The proposed methodology applies cutting-edge computer vision techniques (I2I) to address a MWI problem (data calibration) applied to the medical field (stroke diagnosis). The main host will be POLITO, home to the most advanced brain MWI prototype (TRL-4) within academia. The fellowship will also include two 4-months secondments. The first will be at the University of Manitoba (Canada), where the Researcher will be trained on the integration between machine learning and inverse scattering. The second will be at the École Polytechnique (France), to gain experience on machine learning and computer vision. The results will then be exploited during a 6-months non-academic placement at UBT S.r.l, an Italian startup that is conducting clinical trials with a TRL-6 brain MWI prototype. The acquired skills will shape the Researcher into a mature, independent scientist with interdisciplinary expertise and international recognition in medical MWI.

Keywords: microwave imaging electromagnetic imaging brain stroke diagnosis calibration image to image translation
PArameterized Complexity and Kernelization for ENUMeration (PACKENUM)

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: Information Science and Engineering
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-07-08
End date: 2026-07-07
Duration (months): 24.0
Total project cost (EUR): 140797.44
EU funding (EUR): 140797.44
Participants: 2
Project status: TERMINATED

Algorithms play crucial roles in many aspects of the lives of billions of people worldwide. Many of the problems we wish to solve, in industry and academia, are NP-hard and it is expected that no polynomial-time algorithm exists to obtain an optimal solution for them. Nevertheless, they are solved millions of times on a daily basis. Solving them would be unfeasible without the use of preprocessing techniques, which significantly reduce running times and are often necessary to solve a problem. Explaining why these methods work in practice and designing new ones that come with performance guarantees is a great challenge in Theoretical Computer Science. In the framework of Parameterized Complexity, they are modeled through kernelization, which uses an additional measurement of the problem's structure (the parameter) to output a small equivalent instance that can be quickly solved. However, there will usually exist several optimal solutions, regardless of the optimality criterion, and drawing conclusions from a single one may be misleading. Knowing more about the set of optimal solutions is thus necessary in many scenarios and can be formalized through enumeration problems. Unlike decision problems, very little is known about preprocessing for enumeration problems. In the recently defined enumeration kernel, solutions to the reduced instance are used to partition and efficiently list the solution set of the input. Through this project, the researcher will design and implement novel parameterized algorithms and kernels for enumeration problems, and build the lower-bound theory required to separate problems between those that admit polynomial enumeration kernels and those that do not. The designed kernels will be some of the earliest enumeration kernels, while the lower-bound theory will be a fundamental part of Parameterized Complexity, allowing researcher's to identify problems that do not admit efficient preprocessing and focus their efforts on problems that do.

Keywords: parameterized complexity kernelization enumeration preprocessing
Medicines shortages configurations: understanding pharmaceutical supply chains interdependencies, vulnerabilities, and anticipatory strategies (MEDSHORT)

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: Spain,United States
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-04-01
End date: 2028-09-30
Duration (months): 30.0
Total project cost (EUR): 315440.64
EU funding (EUR): 315440.64
Participants: 3
Project status: SIGNED

In 2023, all European Commission countries reported medicine shortages, recognised globally as a systemic problem affecting patients, healthcare systems, markets, public health, and the environment. International bodies highlight insufficient research on the interdependent causes of these shortages. The MEDSHORT project addresses this gap by responding to EU and FDA calls to understand supply chain dynamics beyond national and product-specific approaches. MEDSHORT explores different layers of the problem through a multi-site, multi-level study using mixed methodologies. Based on comparative insights from California (United States) and Catalonia (Spain), MEDSHORT examines both contexts and their strategies for managing shortages. By analysing how drug agencies mobilise knowledge about medicines shortages and the experiences of various supply chain actors and experts in both countries, the project aims to identify vulnerabilities and everyday frictions within the pharmaceutical supply chain. The project investigates how political priorities shape responses to these challenges, focusing on anticipatory strategies. This research sheds light on underexplored areas in the anthropology of pharmaceuticals, science and technology studies, and the social study of logistics, including the role of pharmacies, manufacturers, distributors, and the broader social implications of supply chain configurations. Ultimately, MEDSHORT seeks to provide a deeper understanding of the social dimensions of drug shortages, inform EU policy on mitigating inequalities in medicine access, and contribute to building more robust and equitable pharmaceutical supply chains.

Keywords: science and technology studies social anthropology medicines shortages ethnography supply chains pharmaceuticals anticipation spain us
Development of nutritional vesicles for precision diagnostics and therapeutics for metabolic diseases (NutriEV)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Challenges
Action type: EIC actions
Countries involved: Finland,Italy,Germany,Denmark,Spain
Call: EIC Pathfinder Challenge: Precision Nutrition (HORIZON-EIC-2023-PATHFINDERCHALLENGES-01, 2023)
Start date: 2024-09-01
End date: 2028-08-31
Duration (months): 48.0
Total project cost (EUR): 3943243.75
EU funding (EUR): 3943243.75
Participants: 5
Project status: SIGNED

The NutriEV project explores the pivotal role of extracellular vesicles (EVs) derived from food in nutrition. These nutriEVs are envisioned to serve as superfoods and nutritional biosensors. The project integrates various disciplines, including nutrition, microbiome research, glycan analysis, molecular biology, nanoreagent assembly, biosensors, organoid technologies, in vivo models, and clinical research. NutriEVs obtained from raw and fermented foods are a model for our research. Investigating the glycans associated with NutriEVs will provide insights into how these vesicles may deliver their nutritional cargo to cells. NutriEVs can withstand the digestive process, influencing the gut microbiome and other gut-resident cells, including their secreted EVs. Subsequently, they transcytose across the gut wall into the bloodstream, impacting cellular metabolism and disease. The project delves into the intricate interplay between dietary EVs, the gut residence cell, the microbiome, and their associated EVs. We aim to understand their role in gut health, obesity, and metabolic regulation through a comprehensive array of in vitro, in vivo, and clinical investigations. These EVs are detected in sweat with unique molecular signatures, providing non-invasive biomonitoring technologies to assess nutritional impact. These technologies can potentially revolutionize our ability to evaluate the influence of nutrition. The successful completion of the NutriEV project presents promising translational opportunities for both the food industry and medicine.

Keywords: nutrition,gut,microbiome,glycans,plant,nutrition derived exosome like vesicles,ev,transcytosis,precision monitoring via sweat,obesity
Fast-Tracking the National Narrative for Climate-Neutral Urban Futures (CapaCITIES 2.0)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Climate neutral and smart cities
Destination: Climate neutral and smart cities
Action type: Coordination and support actions
Countries involved: Romania,Austria,Bulgaria,Greece,Belgium,Czechia,Denmark,Hungary,Italy,Netherlands,Germany,Sweden,Spain,Portugal,Albania,Poland,Croatia,Slovakia,Türkiye,Norway,Malta,France,Lithuania,Finland,Moldova, Republic of,Ireland,Bosnia and Herzegovina,Cyprus
Call: Supporting national, regional and local authorities across Europe to prepare for the transition towards climate neutrality within cities (HORIZON-MISS-2024-CIT-02, 2024)
Start date: 2025-05-01
End date: 2027-04-30
Duration (months): 24.0
Total project cost (EUR): 2994408.29
EU funding (EUR): 2989397.79
Participants: 72
Project status: SIGNED

CapaCITIES 2.0 is designed as a support action for national and regional authorities to advance their governance structures for providing dedicated support for cities to achieve the EU Climate-Neutral and Smart Cities Mission (EU Cities Mission) - answering to the Call HORIZON-MISS-2024-CIT-02-01. As a central initiative to foster and strengthen national narratives for the EU Cities Mission, it will coordinate actions across climate-neutral initiatives for cities in Europe, align and speed up efforts towards the goals of the Mission. CapaCITIES 2.0 will further shape a European environment conducive to urban climate neutrality transitions for national, regional and local authorities. It will initiate and strengthen national change processes to establish and mature national networks and platforms as well as multi-level governance in the entire EU, building on the experience of the CapaCITIES that already started setting-up national platforms in 15 EU countries. It provides dedicated support for public authorities to put enabling conditions and measures for cities in place to achieve the EU Cities Mission. Thereby, it contributes to reach (1) Increased preparedness and capacity of national, regional and local authorities in EU Member States and countries associated to Horizon Europe to engage in cities’ transition towards climate neutrality; (2) Improved ability to effectively address country-specific challenges and barriers for cities to achieve climate neutrality related to current regulatory frameworks, funding and financing, and governance structures and promotion of best-practices through transnational exchanges and sharing of experience and (3) Enhanced synergies with R&I national/international communities, relevant initiatives, and partnerships such as the ‘Driving Urban Transitions to a Sustainable Future’ Horizon Europe Partnership and the NetZeroCities – the EU Mission Platform(NZC) for the implementation of the Climate-Neutral and Smart Cities Mission.

Keywords: national platforms,national hubs for the mission cities,climate neutral cities,eu cities mission