Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
NEw MEdical CYbersecurity assessment and design Solutions (NEMECYS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Maintaining an innovative, sustainable and globally competitive health industry
Action type: Research and Innovation actions
Countries involved: Norway,Israel,United Kingdom,Greece,Italy,Spain
Call: Enhancing cybersecurity of connected medical devices (HORIZON-HLTH-2022-IND-13, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 4208360.01
EU funding (EUR): 4208360.0
Participants: 14
Project status: SIGNED

The European health care system is moving toward personalised, distributed, and home-based services. This is made possible via new and improved connected medical devices (MDs) and in vitro diagnostic devices connected to the internet (together, CMDs), and will benefit health care providers in terms of reduced cost (fewer hospital beds) and improved service. Patients will see improved quality of life in terms of reduced travel time and reduced stress via treatment at home or where they want it. However, for these benefits to be fully realised, the cybersecurity of CMDs needs to be ensured. NEMECYS will benefit practitioners such as cybersecurity communities, MD manufacturers, CMD scenario system integrators and CMD scenario operators (e.g. health care providers), with downstream benefits to patients and the wider public, through more cost-effective and efficient care enabled via effective and streamlined cybersecurity. NEMECYS helps practitioners to (1) comply with MD regulations; (2) to be able to apply proportionate MD cybersecurity (too little security risks exposure, too much is costly and can obstruct clinical care) and (3) build in cybersecurity by design for both MDs and the connected scenarios they operate in. This is achieved by (1) providing recommendations for best practice and guidelines for MD cybersecurity by design, along with compliance assurance tooling; (2) providing a risk-benefit scheme to address cybersecurity risk balanced with clinical benefit; and (3) providing a set of specific tools to address MD cybersecurity by design and their deployment in connected scenarios. The NEMECYS team has cybersecurity risk experts, two hospitals who are already implementing IoT and remote care-based scenarios, three medical device manufacturers, major computer science research players and experienced systems integrators. This team is ideally placed to ensure that NEMECYS can enable practitioners to apply the right security at the right place, at low cost.

Keywords: security by design,dynamic systemic risk assessment
Anti-4CB1 – Revolutionizing cancer care and immuno-oncology drug development (Anti-4CB1)

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 2025 - Short application (HORIZON-EIC-2025-ACCELERATOR-01, 2025)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Cancer is a leading cause of death globally with an estimated 20 million new cancer cases and 9.7 million deaths in 2022 alone. In Europe, cancer accounts for 20% of deaths. With traditional cancer treatments not always sufficient, the introduction of Immune Checkpoints Inhibitors (ICI) is considered a significant step forward in cancer treatment. However, patient response to currently available ICIs, is far from optimal, benefiting only 3%-71% of treated patients, dependent on the indication and treatment regimen. 4C Biomed is dedicated to transforming cancer care and immuno-oncology drug development with anti-4CB1: a ground-breaking ICI designed to prevent inhibitory interactions between immune and cancer cells. Anti-4CB1 targets HVEM, a unique cell surface protein, expressed on immune and tumor cells. The binding of HVEM to BTLA or CD160 triggers an inhibitory signal within the immune cell, reducing the T cell ability to battle cancer. Anti-4CB1 is a novel, fully human, anti-HVEM monoclonal antibody, capable of blocking the HVEM-BTLA and the T-cell HVEM-CD160 inhibitory interactions, thereby enhancing the cytotoxicity of lymphocytes towards tumor cells and increase survival rates. Anti-4CB1 has been rigorously tested in-vitro, ex-vivo and in-vivo, both as a monotherapy and in combination with the gold standard products currently on the market and showed promising results in a range of cancer tissues. With the global ICI market projected to grow from €39.84 billion in 2023 to €135.82 billion by 2032, 4C Biomed strategically positions itself in this rapidly growing field and moves forward with a well-planned clinical development program. The EIC project objectives include execution of Phase I clinical trials, including GMP manufacturing of the clinical batch. Our diverse team, comprising of >60% women, has vast experience in immuno-oncology. The EIC’s support at this stage will pave the way towards commercializing and improving survival rates of cancer patients.

Keywords: cancer,immunotherapy,antibody,immune checkpoint inhibitors,anti pd 1,hvem,btla hvem,solid tumors,melanoma,colon cancer,prostate cancer,bladder cancer,cd 160,platform,discovery
My first body: bodily-self representation in normal and pathological developmental context (MyFirstBody)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: Italy,Germany
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 1325060.0
EU funding (EUR): 1325060.0
Participants: 2
Project status: SIGNED

The representation of one’s own body as a distinct entity from the environment (i.e., bodily-self representation, BSR) is a fundamental component of our sense of self. Neuropsychological literature has provided an important contribution, revealing that brain damage can selectively disrupt BSR. MyFirstBody starts from my well-grounded expertise in BSR pathological alterations, and aims at providing the first comprehensive account of the ontogenetic development of BSR, by translating from a neuropsychological to a developmental perspective. First, I will look for implicit signatures of the BSR emergence in prenatal and postnatal life, by describing the maturation of the crucial components identified through the study of neurological patients (WP1). Then, I will move to a causative level, by challenging i) the neural mechanism that underpins the BSR emergence (WP2) and b) the developmental context that leads to its normal and pathological growth (WP3). I expect to describe a clear picture of BSR development (WP1) and its underlying network dynamics (WP2), starting with a primitive coding of the bodily-self in space, which likely emerges in the maternal womb, and proceeding to further specializations along post-natal life until the maturation of a more abstract knowledge of the bodily-self. From the comparison between congenital and acquired motor deprivations (WP3), I expect to provide the proof that early motor experience represents the crucial context for BSR development. MyFirstBody pioneers a new area of research at the intersection between neuropsychological and developmental research, by addressing different levels of analysis (cognitive and neural) in foetuses, infants, and clinical populations, all while combining advanced neuroimaging techniques (foetal fMRI, EEG, fNIRS). The final outcome will result in original theoretical insights, innovative methods and translational impacts that will represent the optimal foundation for future investigation in the field.

Keywords: bodily self representation,motor control,movement deprivation,multisensory integration,peripersonal space
Next Generation Modelling of Terrestrial Carbon Cycle by assimilation of in-situ campaigns and Earth Observations Hop On (NextGenCarbon HopOn)

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: Research and Innovation actions
Countries involved: Sweden,Czechia
Call: Hop-on facility (HORIZON-WIDERA-2025-03, 2025)
Duration (months): 45.0
Total project cost (EUR): 601125.0
EU funding (EUR): 599775.0
Participants: 2
Project status: CLOSED

Forests are central to climate change mitigation due to their capacity to act as carbon (C) sinks. The NextGenCarbon project develops the next generation of global C models by integrating Earth Observation (EO), in situ data, demographic model structures, and advanced data assimilation. While the original project focused on absolute forest carbon stocks, it did not consider performance relative to the forest’s carbon carrying capacity (CCC)—the maximum C storage achievable under given site and climatic conditions. CCC provides a benchmark for assessing both past losses and potential gains, offering critical value for national greenhouse gas inventories (NGHGIs) and sustainable forest management. We propose the inclusion of Work Package 10 (WP10), dedicated to developing an operational methodology for estimating CCC across Europe’s main forest types. WP10 will combine National Forest Inventory (NFI) data with EO technologies, including airborne laser scanning, Sentinel-2, and synthetic aperture radar, thereby enhancing NextGenCarbon’s capacity to deliver robust and policy-relevant insights. The approach will enable pan-European maps of site quality, integrate below-ground and deadwood pools, and quantify relative C stocks to better capture temporal and regional changes. By strengthening scenario modelling and improving estimates of disturbance impacts, WP10 directly supports NextGenCarbon objectives on monitoring, model-data fusion, and land C management scenarios. Ultimately, incorporating CCC will allow NextGenCarbon to move beyond absolute stock assessments, providing a dynamic framework to evaluate the mitigation potential of European forests under changing management and climate conditions.

Keywords: forests,carbon carrying capacity,climate change mitigation,national forest inventories,earth observation,carbon modelling,sustainable forest management,data assimilation,europe
Defining the function of nodes of Ranvier as regulatory units of the white matter (RanvierNodes-WMUnits)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing , nervous system  function and dysfunction , systems neuroscience  and modelling , biological basis of cognitive processes and of behaviour, neurological and mental disorders – In humans and all other organisms
Countries involved: United Kingdom
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-02-01
End date: 2031-01-31
Duration (months): 60.0
Total project cost (EUR): 1499984.75
EU funding (EUR): 1499984.0
Participants: 1
Project status: SIGNED

The human brain is divided into the grey matter and the white matter (WM). The grey matter includes the synapses which are paramount for processing information, while the WM consists of myelinated axon bundles that conduct information between different brain areas. Brain information processing relies heavily on precise spike timing. This raises questions about the preservation of spike-encoded timing information as it propagates across WM axons, which can extend tens of centimetres before reaching synapses. My research challenges the view that myelinated axons merely serve as electrical conduits in the brain and proposes that the WM contains regulatory units essential for processing information along myelinated axons. I hypothesise that nodes of Ranvier, small unmyelinated gaps along myelinated axons where spikes are generated, function as these regulatory units. My previous findings indicate that nodes of Ranvier play a crucial role in shaping axon excitability and conduction speed, because they can undergo rapid changes in the electrical properties of their membrane and slower changes in their structure. These changes are triggered by variations in neuronal activity and in the calcium activity of astrocytes, whose processes interact closely with nodes. Here, I will combine state-of-the-art microscopy with multiple patch-clamping in mouse and human brain tissue, and computer modelling. I will investigate the properties of nodes of Ranvier underpinning their impulse-regulating functions, focusing on four characteristics that endow them with this ability: their membrane excitability, electrical adaptability, structural adaptability and connections with other cells. By dissecting the functions of nodes of Ranvier in this way, my research aims to deepen our understanding of neural network intricacies, offering insights into fundamental mechanisms of information processing in the brain, and emphasising the importance of the white matter in this processing.

Keywords: myelin,nodes of ranvier,axons,glia,white matter,neural plasticity
Diabetes, obesity and the Kidney (DOKI)

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: Spain,Denmark,Norway
Call: Twinning (HORIZON-WIDERA-2021-ACCESS-03, 2021)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 1457000.0
EU funding (EUR): 1457000.0
Participants: 3
Project status: SIGNED

Chronic kidney disease is a major cause of morbidity and mortality in the EU. About 10-15% of the EU population has chronic kidney disease (CKD) and this number is expected to increase in the future decades. Diabetes is today the main cause of CKD in the EU: about, 30% of the cases with dialysis treatment in the EU have diabetes. Also, we are facing a pandemic of overweight and obesity in the EU. Overweight and obesity are increasing at a rapid rate in most of the EU Member States, with estimates indicating that of 52.7 % of the adult (aged 18 and over) EU’s population had overweight. Of relevance, obese patients with metabolic syndrome are at risk for developing renal disease. Understanding this topic may help preventing renal disease and offering a better treatment to renal patients The study of the renal consequences of diabetes and obesity is a major goal of the chronic renal diseases research group of Instituto de Tecnologías Biomédicas, (University of La Laguna), a research centre created 10 years ago in Canarias Island, an outermost region of the EU. The group has experience in clinical and basic research in this particular area of knowledge with previous studies in basic and clinical research in obesity, diabetes and renal disease, however to advance in our research and become a reference leader in this field, we need to increase our research capability as well as our visibility and networking. For it, we contacted with our partners- two leading institutions in Denmark and Norway- to help us in giving that step ahead and become a reference leader in this field. We foresee to grow to a sustainable structure that will allow us to increaser our research capability , participate and coordinate HE proposals, besides improving our relation with Pharma Industry and pave the way for the creation of a Renal Function Laboratory, that will foster our research in the field as well providing services other researchers, groups and the Pharma Industry in EU.

Keywords: chronic kidney disease,diabetes,obesity
Microclimate, the hidden driver of species distributions (TrueClim)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 232916.16
EU funding (EUR): 232916.16
Participants: 1
Project status: SIGNED

Recent research has increasingly highlighted that species and community distributions are not simply tracking climate change. Indeed, significant delays in species distribution responses, and even unexpected downward or equator-ward shifts have all been observed. Several mechanisms have been proposed to explain these mismatches, such as slow population dynamics, habitat fragmentation or spread-limiting biotic interactions. Yet, the hypothesis forwarded here is that we first need the relevant baseline climate change data before we can accurately answer this question. Indeed, organisms respond to microclimate change, which can be strongly disconnected from macroclimate change. It is the local temperatures near the ground or below the vegetation - often tens of degrees different from weather station data - that set the bounds of organisms’ range limits. In this project, we will take advantage of the SoilTemp-database, a global database of more than 100,000 in-situ measured microclimate time series. I will use it to make global predictions of the rate of microclimate change over time. These new global microclimate data products will then be used to improve field-based estimates of the velocity of plant species’ distribution range shifts. These improved estimates of species’ reactions to climate change are critically needed to adjust biodiversity management to a rapidly changing world.

Keywords: microclimate change,species redistributions,climate change,biodiversity management
DeCiphering Systemic Diurnal MetabOlism and EnDocrinE Signaling in HEART Failure (CODE-HEART)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology  of ageing , pathophysiology, inter - organ and tissue communication, endocrinology, nutrition,  metabolism, interaction with the microbiome, non -communicable diseases including cancer (and except disorders of the nervous system  and immunity -related diseases)
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 1721063.0
EU funding (EUR): 1721063.0
Participants: 1
Project status: SIGNED

Heart failure (HF), the ultimate outcome of many cardiovascular pathologies, imposes a significant global health and economic burden while remaining associated with high mortality rates. There is therefore an urgent need for innovative approaches to comprehensively understand and treat HF. Most HF research, has thus far focused on the pathophysiology of the heart, only partially covering the role of non-cardiac organs, despite HF being a complex multiorgan syndrome. The extent to which extra-cardiac organs, particularly those playing a key role in metabolism control, contribute to HF remains largely unknown. CODE-HEART aims to bridge this knowledge gap by focusing on metabolic interorgan mechanisms of disease. Our metabolism is temporally coordinated across tissues by the circadian clock system, which orchestrates myriad of physiological and metabolic processes. My recent work has highlighted the significance of peripheral tissue-tissue communication for daily metabolic homeostasis. Notably, my preliminary findings suggest that when the heart is under stress, systemic glucose and lipid diurnal metabolism is rewired. In this project, I will test the hypothesis that the failing heart can alter systemic diurnal metabolic rhythms via the release of specific cardiac-secreted factors. To do so, I will first determine the impact of HF on systemic metabolic rhythms and on the diurnal transcriptional landscape of liver, skeletal muscle and white adipose tissue. Using specific knockout animal models, I will investigate the consequences of systemic metabolic rewiring on cardiac function in HF. Finally, I will pinpoint the metabolic communication network between the heart, liver, and other metabolic tissues by labelling cardiomyocyte-specific secreted proteins and screening their functions in vitro and in vivo. In summary, CODE-HEART will significantly advance our understanding of the metabolic and molecular adaptation occurring in HF.

Keywords: circadian rhythms,heart failure
Why do infants learn language so fast? A reverse engineering approach (InfantSimulator)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: France
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 2494625.0
EU funding (EUR): 2494625.0
Participants: 2
Project status: SIGNED

How do infants learn their first language(s)? The popular yet controversial 'statistical learning hypothesis' posits that they learn by gradually collecting statistics over their language inputs. This is strickingly similar to how current AI's Large Language Models (LLMs) learn and shows that simple statistical mechanisms may be sufficient to attain adult-like language competence. But does it? Estimates of language inputs to children show that by age 3, they have received 2 or 3 orders of magnitude less data than LLMs of similar performance. And the gap grows exponentially larger with children's age. Worse, when models are fed with speech instead of text they learn even slower. How are infants so efficient learners? This project tests the hypothesis that in addition to statistical learning, infants benefit from 3 mechanisms that accelerate their learning rate. (1) They are born with a \textit{vocal tract} which helps them understand the link between abstract motor commands and speech sounds, and decode noisy speech inputs more efficiently. (2) They have an \textit{episodic memory} enabling them to learn from unique events, instead of gradually learning from thousands of repetitions. (3) They start with a \textit{evolved learning architecture} optimized for generalisation from few and noisy inputs. Our approach is to build a computational model of the learner (an infant simulator), which when fed by realistic language input produces outcome measures comparable to children's (laboratory experiments, vocabulary estimates). This gives a quantitative estimate of the efficiency of each 3 mechanisms, as well as new testable predictions. We start with English and French that have both accessible large annotated speech corpora and documented acquisition landmarks and focus on the first three years of life. We then help building similar resources across a larger set of languages by fostering a cross-disciplinary community that shares tools, data and analysis methods.