Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Archaeal Virology: unravelling the mechanisms of interviral warfare (ARCVIR)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Molecules of Life: B iological  Mechanisms , Structures  and Functions
Panel description: For all organisms : Molecular biology , biochemistry, structural biology, molecular biophysics , synthetic and chemical biology, drug design, innovative methods and modelling
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Archaea are ubiquitous microorganisms that are found in numerous surroundings ranging from extreme environments to the ocean and the human gut and skin. Marine archaea have a huge impact on biogeochemical cycles and the climate, while archaea in the gut influence the human microbiome and health. Archaea can be infected by unusual viruses that are structurally very diverse and have unique infection mechanisms. As viruses are the major predator of archaea, they shape archaeal communities. This project will visualize the mechanisms that viruses use to fight each other to gain access to host cells. This knowledge of viral mechanisms can, for example, be applied to control archaeal populations to increase human gut health or to reduce the production of the harmful greenhouse gas methane by gut archaea of ruminants. Viruses by far outnumber cells and there is an ongoing arms race for survival. Recently, it was observed that in nature half of the microbial cells are infected by viruses at any given time, and this number is even higher for archaea. Thus, viruses often encounter cells that are already infected. Yet, it is unknown what happens in cells when a second virus infects them and how certain viruses are able to inhibit infection by a subsequent virus. With the exception of some well-studied bacteriophages, the molecular mechanisms underlying this process are poorly understood. My project aims to explore the conditions under which exclusion between viruses is induced and which mechanisms underlie this exclusion. I will study this process using viruses from extreme environments (e.g. salt lakes and hot springs) and use novel molecular biology and imaging tools for these models, which allow for the exploration of archaeal viral biology at an unprecedented depth. The outcome will be of lasting impact in the field of microbial virology, and application of this knowledge will enable innovations that stimulate human health, fight global warming and fuel biotechnology.

Keywords: archaea,archaeal virus,viral entry,pilus,archaellum,archaeal cell surface,superinfection exclusion,microbial virus
High-throughput phenotypic antimicrobial susceptibility testing for precise antibiotic treatment (BacterOMIC2)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Poland
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 18.0
Total project cost (EUR): 1.0
EU funding (EUR): 1.0
Participants: 1
Project status: SIGNED

Antimicrobial resistance (AMR), the acquired ability of a pathogen to survive exposure to an antimicrobial agent, is one of the three leading public health threats of the 21st century. Bacterial AMR was directly responsible for 1.27M deaths and contributed to 4.95M deaths in 2019. By 2050 it will kill >10M people yearly. It generates enormous costs and could result in a 1-3% decrease in global GDP, approximately EUR 1-3.1 trillion, by 2030. The spread of AMR is accelerated by the misuse and overuse of antimicrobials. These are frequently used in crop and animal husbandry and prescribed by doctors based on symptoms only, which results in therapies incorrectly chosen that are ineffective, pose a significant risk for patients and contribute to antibiotic resistance development and spread. We have developed BacterOMIC, an innovative diagnostic system for fast and comprehensive identification of the antimicrobial resistances in a certain infection, allowing for the selection of an antimicrobial treatment tailored-made for the patient. BacterOMIC delivers a complete antibiogram, providing quantitative data, precise minimum inhibitory concentrations and synergistic effect of a broad antibiotic panel against the tested infection. The solution greatly outperforms traditional methods and other automatic solutions. After successful completion of an EIC Acc Pilot R&D grant we are applying for an investment from the EIC Fund. With a team of ~50, obtained CE-IVD certification, and a robust patent portfolio, we are ready for global expansion.

Keywords: antimicrobial susceptibility test,automatic antibiogram,drug resistance,antimicrobial resistance,antibiotic resistance,multi drug resistance
The mystery of differentiation: exploring the link between enhancer priming and cell cycle in ventral foregut stem cells (EPiC-VFG)

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: Denmark
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-03-15
End date: 2027-03-14
Duration (months): 24.0
Total project cost (EUR): 214934.4
EU funding (EUR): 214934.4
Participants: 1
Project status: SIGNED

Pluripotent stem cell differentiation to disease targeted cell types has historically produced poor or inconsistent outcomes. The Brickman lab recently suggested that pausing differentiation, allowing cells to grow, and catch up at the level of the enhancer network, leads to improved differentiation. In particular, the Brickman lab has demonstrated that expansion of endoderm at the ventral foregut stage (VFG) increases the efficiency and efficacy of pancreatic endocrine differentiation. The mechanism by which this occurs is unknown, but it involves the re-equilibration of enhancer networks and rearrangements in the cell cycle. I hypothesise that these two processes are tightly connected and to address cause and effects and understand the nature of this link, I will focus on how FOXA1, a factor required for expansion-specific pancreatic enhancer reorganization, acts to couple growth to genome rearrangement, how it interacts with the REST/CoREST/KBTBD4 complex to facilitate enhancer commissioning/decommissioning and finally whether proliferation-induced alterations to specific cell cycles phases drive this enhancer reconfiguration. The results of this project will significantly impact on regenerative medicine research as they will help formulating a differentiation protocol that produces in a more efficient way pancreatic endoderm and pancreatic endocrine cells. Although this fellowship exploits pancreatic differentiation as a model, its implications are broad, as a role of proliferation in preparing appropriate transcriptional responses for differentiating cells would represent a new paradigm for the link between growth and lineage specification.

Keywords: enhancer priming,ventral foregut stem cells,transcription factors,pancreas differentiation
Enhancing material CIRCularity and Lower Emissions of Ship building processes in all phases of the LIFE cycle (CirclesOfLife)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Clean and competitive solutions for all transport modes
Action type: Innovation actions
Countries involved: Netherlands,Germany,France,Italy,Finland,Belgium
Call: Reducing the environmental impact from shipyards and developing a whole life strategy to measure and minimise the non-operational environmental impacts from shipping (HORIZON-CL5-2023-D5-01, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 5314022.25
EU funding (EUR): 4499934.75
Participants: 16
Project status: SIGNED

The market conditions and the regulatory framework for the shipping industry and shipyards are changing profoundly. In response, shipyards need to build up the capacity to assess the environmental footprint of their yard-activities and the ship to inform their stakeholders in a transparent, understandable, comprehensive, and trustworthy way. While the environmental footprint of the operational phase of a ship can be covered sufficiently by existing standards, the non-operational footprint of the shipyard processes and the integrated materials and components remain a black box. It is the ambition of this project to drastically change the as-is situation and to make the impact measurable and thereby drive progress toward circular, zero impact shipping over the full circle of life of a ship. Therefore, CirclesOfLife will develop, test, and validate a general methodology and framework applicable to all European shipyards enabling to close the gaps in assessing the environmental performance of the shipyards and the ships they design, build, maintain, retrofit or recycle. CirclesOfLife will go beyond state of the art by defining a scientifically sound SEPI-methodology and Cradle2Cradle Ship Passport and will test and validate its applicability in day-to-day business of shipyards and suppliers in several use-cases, ranging from new building- to repair-and maintenance- to recycling yards. Moreover, CirclesOfLife follows a clear pathway towards market introduction and societal impact supported by Surfrider and ShipBreaking Platform as independent and trustworthy NGO’s. Based on the described measures, CirclesOfLife pursues to offer a widely accepted standard enabling shipyards, maritime equipment manufacturers, shipping companies, finance institutions and other stakeholders to compare the environmental footprint of ships and shipyards

Keywords: sustainability circularity shipyard shipping material passport yard processes impact assessment sustainable sourcing
Blackness Imagery in the Construction of European Identity/ies: The Case of the Czech Lands in a Transnational Perspective (BlackCzech)

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
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-10-01
End date: 2024-09-30
Duration (months): 24.0
Total project cost (EUR): 189687.36
EU funding (EUR): 189687.36
Participants: 1
Project status: CLOSED

This project conceives (self-)Africanisation as a rhetorical strategy of symbolic exclusion of the “other”, despite being European, from Europe by either the voluntary assumption or the imposed ascription of a surrogate identity. Starting from the hypothesis that the cultural, artistic and scientific output of a “non-colonial” nation can also be considered as a form of colonial discourse, this project seeks to examine Blackness imagery in Czech-German and Czech-French cultural relations and transfers. Focusing on the “long” nineteenth century (extended until the early 1930s), the research spans five interconnected axes: (1) the “scientific” constructions of Black and “mixed-race” alterity in the Czech lands; (2) translating literature with “colonial” topics for the Czech lands; (3) Black and “mixed-race” representations in Czech literature; (4) Black are the “others” – the ascription of surrogate identity in German and French literature; and (5) the instrumentalization of Blackness imagery in cultural‑political struggles. Drawing on the methodology of literary history, comparative literature and translation studies, the project will analyse translations of French literature and academic, literary and mediatic discourses in the Czech lands and mutual representations of Czechs and Germans as “black”. The interdisciplinary approach, which includes postcolonial studies, discourse analysis, comparative historical linguistics and insights of anthropology, will shed light on the mixophobic framework of racial naming, notably in its gendered and intersectional dimensions. The transnational scope of this topical project, the commitment to open science practices as well as the hosting arrangements aimed at developing a diversified research profile, including transferable skills in communication, management and digital humanities, will significantly promote the career prospects of the researcher as well as strengthen the profile of the host institution.

Keywords: translation,blackness imagery,racial stereotypes,central europe,czech literature,french literature,german literature,alterity,identity,gender,discourse analysis,self africanisation
Families and inequality in a flexible world of work (FLIN)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Human Mobility, Environment, and Space
Panel description: Human geography, demography, health, susta inability science, territorial planning, spatial analysis
Countries involved: Austria
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2025-02-01
End date: 2030-01-31
Duration (months): 60.0
Total project cost (EUR): 1994648.0
EU funding (EUR): 1994648.0
Participants: 2
Project status: SIGNED

Families often lead time-intensive lives, having to balance the demands arising from the workplace and the family. With the recent shift towards flexible working – enabling employees to decide (partly) where and when to work – the spatial and temporal segregation of employment and family has been substantially reconfigured. Greater flexibility is one of the most important labour market transformations of our time. FLIN creates new knowledge on how contemporary families combine employment and family in the context of flexible working. Taking a cross-national, couple-level perspective, FLIN will study the implications of flexible working for (1) family time, (2) gender equality in (un)paid work, (3) childbearing and partnership dissolution. It will also (4) monitor inequality in flexible working and (5) address the role of contextual factors. The project design is longitudinal with a focus on the “new normal” of flexible working after the COVID-19 pandemic. FLIN will generate a novel empirical and theoretical understanding of the work-family interface and its consequences, enabling policy development. Because flexible working is mainly a privilege of higher status employees, its recent rise has the potential to exacerbate the socio-economic divide. If flexible working has predominantly positive consequences (e.g. more childcare time), higher-status families could disproportionally reap the benefits of this new development. Theoretical frameworks and past research are inconclusive as to whether flexible working leads to a better work-family balance or more difficulties in managing the work-family border. Considering that flexible working is an emerging social challenge for equality, clarification is urgently needed. The project combines a detailed country analysis (Austria, France, Germany, Italy, Norway and Poland) with a comparison across the EU. It is based on high-quality, representative data: time use surveys, register data and the EU Labour Force Surveys

Keywords: families,employment,flexible working,inequality,europe
Mobile Artificial Intelligence Solution for Diabetes Adaptive Care (MELISSA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Tackling diseases and reducing disease burden
Action type: Research and Innovation actions
Countries involved: Netherlands,United States,Switzerland,Greece,Denmark,Spain,Germany
Call: Clinical validation of artificial intelligence (AI) solutions for treatment and care (HORIZON-HLTH-2021-DISEASE-04, 2021)
Start date: 2022-06-01
End date: 2027-05-31
Duration (months): 60.0
Total project cost (EUR): 6061709.0
EU funding (EUR): 5986709.0
Participants: 12
Project status: SIGNED

The MELISSA project aims to provide a clinically validated, effective, trustworthy, and cost-efficient artificial intelligence (AI)-based digital diabetes management solution to support both health care providers (HCPs) and insulin-treated patients with diabetes (PwD) in their daily routine with personalised treatment and care recommendations. The solution is independent of the used glucose monitoring devices and is based on the combined use of already prototyped advanced AI-approaches and innovative tools for quantification of lifestyle and behavioural factors, taking into consideration sex/gender aspects, age, and socio-economic parameters related to the development of diabetes. More specifically, core element of the project is the daily insulin treatment adjustment to ensure glucose control using an already introduced self-learning approach based on reinforcement learning. The approach is data-driven, real-time and of low computational cost and allows daily adjustment of the insulin infusion profile, on the basis of the fluctuations in the patient?s glucose. The approach takes into consideration patients treatment-related (glucose, insulin, and carbohydrate intake) and conceptual information and during the project will be further extended and optimized to include additional lifestyle and behavioural parameters. Furthermore, tools for assessing the risk of short- and long-term complications will assist HCPs in reaching better decisions on adjustments to the treatment schemes. To meet the objectives the consortium brings together partners active in the fields of diabetes (PwD and HCPs), diabetes technology, AI, behavioral sciences, ethics in AI, regulatory affairs, healthcare economics and clinical trials to further co-create, clinically develop, optimize, and clinically validate an AI-based solution for more effective and cost-efficient diabetes management through personalised treatment and care.

Keywords: mhealth diabetes artificial intelligence self management personalised treatment clinical validation machine learning clinical development
Proteomics for Heart disease risk prediction (ProtectHearts)

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: Norway,Iceland,Finland
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-01-01
End date: 2026-06-30
Duration (months): 30.0
Total project cost (EUR): 263638.8
EU funding (EUR): 263638.8
Participants: 3
Project status: SIGNED

Cardiovascular disease (CVD) remains the leading cause of death globally for men and women. State-of-the art clinical risk prediction models for CVD use conventional risk factors and polygenic scores (PGS)—a measure of an individuals’ inherited CVD risk. However, the accuracy of current models is moderate and worse in women than men. Protein markers of CVD represent an individual’s current health state and both inherited and environmental disease risk. Indeed, there is evidence that combining conventional risk factors, PGS, and protein markers of CVD may facilitate vast improvements in CVD risk prediction. Furthermore, by modelling inflammation-specific protein markers missing from sex-specific CVD risk models, ProtectHearts will specifically capture excess risk in women. ProtectHearts will use the world’s largest population-biobank-linked proteomics datasets to 1) develop a novel protein-based risk score (ProtRS); 2) develop an inflammation-specific ProtRS (i-ProtRS); and 3) estimate the clinical utility of these scores when modelled with clinical risk scores and PGS. Cutting-edge machine learning algorithms will be used to establish target proteins for CVD prediction in 100,000 individuals across four European biobanks. ProtectHearts brings together a physician-scientist Supervisor with proteomics expertise and a Fellow with experience modelling CVD risk prediction using PGS in biobanks. Through a secondment and non-academic placement, the Fellow will gain intersectoral experience. Activities of the training and dissemination work packages will build her competencies in machine learning, advanced statistics and science communication. ProtectHearts will engage clinicians in exploitation of the new sex-specific, comprehensive CVD risk prediction model. ProtectHearts has the potential to move CVD risk prediction beyond state-of-the-art by improving risk prediction accuracy, specifically in women, using protein-based markers for CVD and CVD-related inflammation.

Keywords: population health,ehr data,survival analysis,risk prediction,integrative risk modeling,public health,big data
Self-learning AI-based transport optimization software as a service for the most complex logis-tics scenarios in real-time enabling double-digit cost-, CO2- and tyre wear savings (LogisticsBrain)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Challenges
Action type: EIC actions
Countries involved: Germany
Call: Strategic Digital and Health Technologies (HORIZON-EIC-2021-ACCELERATORCHALLENGES-01, 2021)
Start date: 2022-06-01
End date: 2024-05-31
Duration (months): 24.0
Total project cost (EUR): 2425000.0
EU funding (EUR): 1697500.0
Participants: 1
Project status: CLOSED

Smartlane’s AI-based dispatch software LogisticsBrain is a self-learning, cloud-based software for automated transport optimization. Smartlane’s core technology – the scenario-based optimization AI algorithms in combination with KPI and process analysis – optimizes costs by 40%, planning time by 90%, resources, CO2 emissions and fine dust by 21%, and service quality. LogisticsBrain is the enabler of full automation for logistic systems and dispatching processes that so far still are based on manual processes. Sensitivity analyses offer global transport optima by computing several hun-dreds of scenarios in parallel. In this project, partial routes are linked to form a network flow by crowdsourcing. This allows for real time optimization of transport simply using one software – instead of more than three individual solutions as today. Transport logistics planning challenges are solved by standard-ized interfaces even for freight forwarders with complex IT environments.

Keywords: logistics,transport planning,courier,freight forwarder,optimization,transport,co2 reduction,artificial intelligence,deep tech,transport scenarios