Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Tertiary Education Redefined: AI-Driven Upskilling & Reskilling Platform for Industry-Relevant Digital Skills (TER-AI)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Lithuania
Call: EIC Accelerator Open 2023 (HORIZON-EIC-2023-ACCELERATOR-01, 2023)
Start date: 2024-08-01
End date: 2026-07-31
Duration (months): 24.0
Total project cost (EUR): 3668000.0
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

The global skills gap, estimated at €7.87tr and 85m unfilled vacancies by 2030, has been accelerated by the pandemic and the digitization of various sectors. The demand for high-income tech jobs is growing, with estimated 149m new technology jobs by 2025. As high-income jobs, particularly in technology, continue to grow, there is a pressing need for education solutions that can provide relevant and up-to-date training to meet the evolving skills demands of tech companies. To address this, Turing College offers an innovative and scalable solution as the world's first accredited AI-driven online tech college. With flexible, personalized, industry-relevant education, hands-on training, unlimited mentorship and a talent marketplace, Turing College aims to bridge the talent shortage in the tech sector. We offer a unique pedagogy approach, empowering senior students to tech junior students, and reducing the demand for instructors by up to 10x. Our solution targets the €2 trillion higher education market, catering to the growing demand for upskilling and reskilling in the tech industry. We aim to help millions get AI and tech skills needed to foster society to a more productive, peaceful future. Successful commercialization is projected to reach over 49,000 students by 2028, generating €148 million in annual revenue and creating up to 1,050 new jobs.

Keywords: learning management system,edtech,online learning platform,adaptive learning,industry relevant training,flexible learning,personalised curriculum,tech education,gamification
de Sitter Space Holography and Quantum Information (dSHologQI)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Israel
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-10-01
End date: 2029-09-30
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

New approaches to de Sitter (dS) space holography open a promising avenue for quantum gravity in dS space. Simultaneously, newly developed quantum information tools allow us to study those proposals and their properties. It is the objective of this project to study holography in dS space using quantum information tools. I would like to use quantum information to find an alternative description of dS space in terms of an exact quantum mechanical model. For this, I will explore different recent approaches to dS space holography including the idea of defining a holographic theory on the stretched cosmological horizon and the use of holographic flow geometries. I will use novel measures from the world of quantum information – entanglement, complexity, out of time ordered correlation functions, chaos and thermalization and compare their behavior to numerical results for possible candidates of a quantum mechanical dual theory. This detailed study will allow me to identify a precise quantum mechanical dual for dS space. The project will have a major impact on the way we understand quantum gravity in dS space, bringing holography from the theoretical realm where gravity lives in a box to a real-world applicable scenario. It is further expected that extending holographic quantum information beyond anti-de Sitter (AdS) space to a larger class of theories will draw new and important lessons for quantum information and quantum computation. It is the perfect time to conduct this line of research. While dS space holography has been a long-time endeavour in theoretical physics, progress in low-dimensional holography and quantum information makes it now possible to address it from a novel and concrete point of view. I have been a pioneer in applying quantum information tools in AdS space and have worked on the new approaches to dS holography. I therefore believe that I am the right person to carry out this promising line of research.

Keywords: holography,quantum information,de sitter space,quantum gravity,complexity,entanglement entropy
Transformative non-invasive casual diagnostics to effectively treat endometriosis (TRANSCEND)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: United Kingdom
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2499999.0
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

Ixion2Complex chronic diseases like endometriosis consume 75% of Europe’s healthcare budget. Endometriosis is a painful condition in which the lining of the uterus grows outside the uterus. It affects 200 million women worldwide at the peak of their productive and reproductive years and costs Europe €70bn per year. As with other complex chronic diseases, endometriosis results from multiple combinations of genetic and clinical factors, making it difficult to diagnose and treat. On average it takes 8 years to diagnose, typically involving +10 medical consultations. The current diagnostic standard is laparoscopy - an invasive, expensive and painful surgery. Neither non-invasive, accurate early-diagnostic tools nor effective treatments currently exist for endometriosis. As much as 60% of endometriosis cases are undiagnosed. As such, a pressing medical need exists for an affordable and scalable precision diagnostic solution to guide personalised treatments. Building on successful results from our Horizon 2020 collaborative project, this EIC Accelerator project will clinically validate the world’s first accurate, cost-effective, scalable and simple to use diagnostic test to predict an individual's risk of developing endometriosis based on the underlying causal mechanisms of the disease. Using these novel insights, this project will demonstrate how the diagnostic can be used to target clinically repurposed drugs to successfully treat specific disease subtypes. Having identified critical disease signatures and potential drug candidates to repurpose (TRL6 achieved), EIC support is essential to certify our novel diagnostic as a Class C IVDR device and prove the efficacy of repurposed drugs to treat endometriosis for a €2.9bn global market. Overcoming these remaining risky and challenging barriers will enable us to achieve €133m in revenues, €80m in net profits and grow our highly skilled team to 85 FTEs by Y5 post-project, thereby realising our full commercial potential.

Keywords: endometriosis,combinatorial analytics,single nucleotide polymorphism snp,complex chronic diseases,array based logic,causal ai,mechanistic patient stratification,drug repurposing,diagnostics
Detection of the different phases of Mycobacterium tuberculosis infection and prediction of the development of tuberculosis disease progression by application of novel interferon gamma release assay (DET-TB)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Poland
Call: Fostering balanced brain circulation – ERA Fellowships (HORIZON-WIDERA-2022-TALENTS-04, 2022)
Start date: 2023-11-01
End date: 2025-10-31
Duration (months): 24.0
Total project cost (EUR): 155793.6
EU funding (EUR): 155793.6
Participants: 1
Project status: SIGNED

Tuberculosis disease (TB) is the second leading infectious killer after COVID-19 (above HIV/AIDS). The main reason is due to high ability of the bacteria Mycobacterium tuberculosis (Mtb) to hide after infection and lack of the precise and sensitive tests able to detect different forms of TB and indicate disease progression. Therefore the aim of this project is to search and investigate new antigens that could be used not only for the detection of different phases of Mycobacterium tuberculosis infection but also could be used for precise prognostic tool. To achieve this goal, the experience of the applicant in a LTBI diagnostics, medical microbiology and molecular biology will be combined with hands on training in a field of bioinformatics, and in silico approaches supported by artificial intelligence computational and experimental methods applied for structural analysis of proteins supporting strategic decisions in detection system development. As part of the World Health Organization's (WHO) End TB Strategy to reduce the mortality and incidence rates of TB by 90% and 80%, respectively, in 2025 and further reduction by 95% and 90% in 2035, reverse efforts to focus on TB infection management as one of the TB preventive care approaches for the long-term situation of TB prevention and treatment are highly needed. The main goal of this proposal is to better understand molecular basic of the TB infection and progression aiming identification of the new antigens which later can provide a new avenue for designing of novel interferon gamma release assays (IGRA) test for detection of different phases of TB infection and predict active TB disease progression. We hypothesise that using latency associated protein candidates and IFN-γ-producing CD8+ T cells specific Mtb antigens we will be able to achieve these goals.

Keywords: mycobacterium tuberculosis,igra,prediction,in silico,structural analysis,protein
Life and Death, War and Peace, c.1550-c.1700 Voices of Women in Early Modern Ireland (VOICES)

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: Ireland
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2023-09-01
End date: 2028-08-31
Duration (months): 60.0
Total project cost (EUR): 2499663.0
EU funding (EUR): 2499663.0
Participants: 1
Project status: SIGNED

VOICES aims to recover the voices and interrogate lived experiences of women in early modern Ireland. Ireland formed part of the British, European and Atlantic world and women there responded to similar sets of transformative processes as other early modern women - proto-globalisation, state formation, confessionalisation, warfare, commercialisation, environmental change, and so on – which facilitates interrogation that is comparative, connected, and entangled. Two ambitious research questions underpin this pioneering project which focuses on Ireland as a case study. (1) What role did women play in a society undergoing profound economic, political, and cultural transformation? (2) What were their experiences of recurring social upheaval, bloody civil war and extreme trauma, especially sexual violence, and how have these been politicised? Our novel approach derives in large part from the interrogation of previously inaccessible historical data, now available digitally. This windfall is exceptional, but the resulting data is unstructured. Innovative technologies transform this unstructured data into knowledge that can be interrogated and visualised. VOICES will then transform the field of history by allowing us to: • recover the marginalised voices, lifecycles, and identities of women in Ireland and assess their contribution to the household, regional and national economies; and relationship to the land (WPs1, 2); • situate the experiences of women in the broader analytical framework of Europe, Britain, and the Atlantic world (WPs1-4); • lay the foundations for further future scholarship on the family, gender, identity, memory, emotion, and trauma in the early modern period (WPs1-4); • produce ontologies that outline key concepts and entities that relate to women and violence that can be reproduced across time and place, which makes VOICES the exemplar of the new and longstanding research questions now answerable by digitisation and associated methodologies (WP0)

Keywords: atlantic world british isles digital humanities colony empire
The formation and evolution of the primordial planetary felsic crust (PLANETAFELSIC)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Earth System Science
Panel description: Physical geography, geo logy, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: France
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2025-02-01
End date: 2030-01-31
Duration (months): 60.0
Total project cost (EUR): 2883478.0
EU funding (EUR): 2883478.0
Participants: 1
Project status: SIGNED

A turning point for the whole planetary evolution, climate and habitability was the onset of felsic (i.e., enriched in Si and Al) crust formation 4.5 – 4.0 Gyr ago. To date, this onset can be traced using natural zircon mineral (ZrSiO4)-bearing rocks, as well as laboratory experiment and modelling. My project is based on cutting-edge experiments and modelling as well as field data acquisition on natural rock samples to construct a first comprehensive fundamental model of the primordial felsic crust formation and evolution on Earth, and very likely, Mars and Venus. My recently established laboratory experimental protocols and modelling approaches open a new window to understanding of how the zircon-bearing felsic magmas, rocks and crust can be produced from the ultra-mafic rocks (Mg, Fe-rich, and Si, Al-poor) that dominated early planet’s composition. PLANETAFELSIC has four research objectives: (i) to identify and explore the rock-forming processes that controlled the formation and evolution of the primordial felsic crusts on Earth, Mars and Venus; (ii) re-evaluate what physical-chemical conditions are reflected by the trace element and isotope signatures of zircon formed and evolved in the presence of magmas and fluids; (iii) to constrain the initial steps of planetary geodynamics (i.e., rock-forming reactions, transformations and movements) and how they are recorded in the trace element and isotope signatures in mantle-derived rocks; (iv) to construct a geochemical model of the habitable conditions during the early evolution of the rocky planetary surface. With PLANETAFELSIC grant, I will build a team dedicated to addressing these challenging goals in a comprehensive way. Ambitious, but feasible and timely, PLANETAFELSIC will significantly advance our understanding of how the habitable conditions could be formed on the planetary surface. This will pave the route for future missions to Mars and Venus and exoplanet exploration.
Trustworthy AI tools for personalized oncology (TAIPO)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Prevention,  Diagnosis and T reatment of Human Diseases
Panel description: Medical technologies  and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions , pharmacology, preventative  medicine, epidemiology and public health , digital medicine
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 1999225.0
EU funding (EUR): 1999225.0
Participants: 1
Project status: SIGNED

Modern machine learning algorithms have the potential to accelerate personalized medicine in a fast pace. To date, first tasks in medicine are being addressed with machine learning algorithms that surpass humans in terms of accuracy and speed, including diagnosis, outcome prediction and treatment recommendation. However, for a widespread adoption in clinical practice, a good performance in terms of speed and accuracy is not sufficient: practitioners also need to be able to trust a model’s prediction in all stages of its life cycle. I will facilitate an efficient interaction of clinicians with AI models by developing trustworthy AI tools for personalized oncology: First, I will develop trustworthy AI tools and algorithms for diagnosis and stratification of cancer patients. Second, I will establish a framework for reliable and transparent modelling of personalized outcomes and therapy decisions in oncology. TAIPO will result in novel algorithms and software tools for quantifying and improving the trustworthiness of AI models that I will apply to three clinical applications: (i) trustworthy AI-based skin lesion classification based on dermoscopic images, (ii) stratification and personalized outcome modelling for patients with acute myeloid leukaemia (AML) based on omics data, and (iv) therapy recommendation for metastatic breast cancer patients based on electronic health records. TAIPO will increase the throughput of trustworthy diagnoses of skin lesions and pave the way for low-cost access to diagnostic care. It will empower clinicians to make personalized and reliable therapy decisions, which we will demonstrate at the example of AML and metastatic breast cancer. Our novel algorithms to evaluate and improve the reliability of AI models are a crucial contribution to close the gap between in-silico AI-bench and bedside and will further push the field of trustworthy machine learning with many applications of AI in medicine.

Keywords: machine learning,trustworthy ai,patient stratification,predictive medicine,diagnosis
Assessing Philosophical Authors and Texts from Herculaneum and elsewhere on Early Stoicism: Insights into ancient logic, physics, and ethics towards a new von Arnim (APATHES)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Texts and Concepts
Panel description: Literary studies , literature,  philosophy
Countries involved: Italy
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-11-01
End date: 2028-10-31
Duration (months): 60.0
Total project cost (EUR): 1999587.0
EU funding (EUR): 1999587.0
Participants: 1
Project status: SIGNED

Alongside Epicurus’ school, Stoicism is the most important current of thought in Hellenistic philosophy. The first phase of this school extends from Zeno of Citium (334/333–262/261 BCE) to Chrysippus’ followers (viz. up to the end of the 2nd century BCE). Apart from some fragments transmitted by the medieval manuscript tradition and by the Herculaneum papyri, only indirect witnesses on the early Stoics remain today. The huge corpus of this material was collected mostly in Hans von Arnim’s Stoicorum Veterum Fragmenta (1903–05). Despite some partial attempts to correct and integrate this collection, von Arnim’s pioneering work is still the reference point in studies on early Stoicism. The present project aims to remake this work entirely, through an innovative, interdisciplinary methodology (incorporating classical philology, the history of ancient philosophy, doxography, papyrology and epigraphy, new technologies for deciphering ancient manuscripts), and will be divided into the following steps: 1. a new critical edition of most of the fragments and testimonia at issue; 2. a wider selection of the sources and a revision of some manuscripts; 3. a new methodology for reading and reconstructing the papyrological sources; 4. an innovative historico-philosophical methodology for commenting on and interpreting the extant sources; 5. the creation of a website, along with a digital database publication of partial and comprehensive outcomes for the project. The editions will be divided into four parts, focused on Zeno of Citium, the disciples of Zeno (including the heterodox Stoics), Chrysippus, and the disciples of Chrysippus, respectively. Each volume will be accompanied by commentaries also devoted to Stoic figures sometimes neglected in scholarship (e.g., Diogenes of Babylon). This project aims to revolutionize our knowledge of this fundamental phase of Hellenistic philosophy, by throwing new light on the history of ancient physics, logic, and ethics.

Keywords: ancient ethics,ancient logic,ancient physics,classical philology,doxography,early stoicism,hellenistic philosophy,herculaneum papyri,textual criticism
SoundTrack-HF: Noninvasive prediction of acute events in patients with chronic heart failure (SoundTrack-HF)

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: Denmark,Portugal
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 247553.28
EU funding (EUR): 247553.28
Participants: 2
Project status: SIGNED

Heart failure (HF) is a chronic condition which tremendously impacts the life quality and expectancy of the patient as well as the healthcare system. The main responsible are acute episodes of decompensation, which are difficult to promptly detect because signs and symptoms occur late in the process. It was previously proved that changes in the hemodynamic parameters anticipate acute episodes by weeks, and their monitoring could be leveraged to predict and prevent the episode itself. Nevertheless, at date, this can only be performed via invasive sensors, which limit the target population to patients with severe HF. SoundTrack-HF targets this gap in the technology for HF monitoring. The goal of SoundTrack-HF is to design, implement and validate an end-to-end system for the non-invasive monitoring of the status of compensation of HF patients using heart sounds (HS). The project grounds on the use of a novel prototype enabling the self-recording of HS by the patient in a homecare setting. Cross-sectional and longitudinal data will be obtained from HF patients at their domicile. Time-related biomarkers related to the hemodynamic functionality will be extracted from the signals and validated against a gold standard (echocardiography). On one side, the patho-physiological spatio-temporal changes in the parameters will be modelled and interpreted in relation to the status of compensation of the patient. On the other side, an explainable AI-based acute episode predictor will be developed and used to extract novel knowledge about the relationship between HS and HF. At the end, signal- and AI-extracted knowledge will be integrated into a final predictor. SoundTrack-HF is a highly interdisciplinary project. Its innovation resides in the development and validation of groundbreaking algorithmic solutions which, by leveraging a completely novel hardware, will disrupt the standard practice in auscultation and move it to the next level for domicile monitoring.

Keywords: heart failure,home monitoring,personalized medicine,biomedical signal processing,decision support system,explainable ai,knowledge extraction,heart sounds,cardiac time intervals