Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Women's Criminality in the Ottoman Literary World (1860-1922) (WCOLW)

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: United States,Germany
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-06-01
End date: 2026-06-30
Duration (months): 37.0
Total project cost (EUR): 265647.84
EU funding (EUR): 265647.84
Participants: 2
Project status: SIGNED

This project sketches a broader framework for the characterization of women offenders, expression of women crime committing, and their involvement as both victims and offenders in criminal cases not only in fictional narrations of Ottoman literature but also in real cases that made news in the Ottoman press. I will critically address male-centric discoursing, repetitive imputations, stereotypical and cliché wordy choices, and reiterative vocabulary for the identification of female criminals by examining Ottoman newspapers, magazines, journals, and books from the late Tanzimat period (the 1860s) up to the demise of the Empire (1922). This work will mainly utilize feminist criminal approaches that follow iconoclastic ways to stand up against the systematic underestimation and negligence of androcentric crime theories and their effects on historical narratives. These all restrict women’s participation and involvement in criminal cases and identify female perpetrators without their criminal agency. As a part of this understanding, their voices as wrongdoers were mostly silenced in the Ottoman press and literary works. In this regard, this study will especially dwell on women offenders who committed offenses contrary to their vulnerable, fragile, and sensitive stereotypical features, all too frequently used as the reasons for the incapability of women to commit serious crimes. Succinctly, the major goals of this project are to analyze the perspective, vocabulary, wording, and conceptualization by the Ottoman press and intellectual productions in the narrations of women’s delinquency and the identification of criminal women’s agency through literary criticism and to raise the voices of Ottoman criminal women in real and fictional crime stories in the light of feminist criminal theory.

Keywords: gendered criminality,historical criminology,ottoman women s criminality,ottoman press and literature,literary criticism
AI-driven cardiac ultrasound analysis (AI-driven cardiac ultrasound analysis)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Challenges
Action type: EIC actions
Countries involved: Lithuania
Call: Strategic Digital and Health Technologies (HORIZON-EIC-2021-ACCELERATORCHALLENGES-01, 2021)
Start date: 2022-08-01
End date: 2026-01-31
Duration (months): 42.0
Total project cost (EUR): 3574343.75
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Heart ultrasound is the most versatile, most widely used, and cost-effective heart imaging method. Accessibility to ultrasound imaging is growing rapidly as the devices are getting cheaper and smaller. However, interpretation of the acquired images creates a bottleneck; it requires substantial skill, it is long, manual, and prone to errors and variability. Ligence is remodelling the quality, difficulty, and length of echocardiography with an AI-driven tool to automate the whole analysis of heart ultrasound images. Deep learning neural networks classify heart image views, detect heart cycle phases, and perform measurements. It seamlessly integrates with existing infrastructure in hospitals, meaning that moments after images are loaded onto the hospital's network the results are accessible on any workstation. This results in dramatically increased accessibility and analysis quality, earlier diagnosis, and better patient risk stratification, monitoring, and patient management.

Keywords: cardiac and cardiovascular systems,ai driven tool,risk stratification,increased accessibility,echocardiography,early diagnosis,automation,deep neural networks
Artificial intelligence-based Parkinson’s disease risk assessment and prognosis (AI-PROGNOSIS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Staying Healthy in a rapidly changing society
Action type: Research and Innovation actions
Countries involved: Greece,Belgium,Luxembourg,United Kingdom,Germany,Latvia,Cyprus,Spain,Sweden,France,Portugal
Call: Trustworthy artificial intelligence (AI) tools to predict the risk of chronic non-communicable diseases and/or their progression (HORIZON-HLTH-2022-STAYHLTH-01-two-stage, 2022)
Start date: 2023-07-01
End date: 2027-06-30
Duration (months): 48.0
Total project cost (EUR): 5488625.0
EU funding (EUR): 5259875.0
Participants: 19
Project status: SIGNED

Parkinson’s disease (PD) is the most common neurodegenerative movement disorder, with a multifactorial aetiology, heterogeneous manifestation of motor and non-motor symptoms, and no cure. PD is often missed or misdiagnosed, as early symptoms are subtle and common with other diseases, allowing for considerable damage to occur before treatment. Moreover, selecting the optimal medication regimen is usually a lengthy, “trial and error” process, leading to critical, costly non-adherence. Following a trustworthy and inclusive approach to AI development and based on multidisciplinary expertise and broad stakeholder engagement, AI-PROGNOSIS aims to advance PD diagnosis and care by: 1) developing novel, predictive AI models for personalised PD risk assessment and prognosis (in terms of time to higher disability transition and response to medication) based on multi-source patient records and databases, including in-depth health, phenotypic and genetic data, 2) implementing a system of biomarkers informing the AI models by tracking key risk/progression markers in daily living, and ultimately 3) translating the models and digital biomarkers into a validated, privacy-aware AI-driven toolkit, supporting healthcare professionals (HCPs) in disease screening, monitoring and treatment optimization via quantitative, explainable evidence, and empowering individuals with/without PD with tailored insights for informed health management.

Keywords: parkinson s disease,risk,progression,medication response,trustworthy ai,predictive models,digital biomarkers
SustainablY aNd digiTally driven hiErarchical laser texturing for Complex Surfaces (SYNTECS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Research and Innovation actions
Partnership: Made in Europe (co-programmed)
Countries involved: Germany,Belgium,Türkiye,Portugal,Italy,Ireland,United Kingdom,France
Call: Products with complex functional surfaces (Made in Europe Partnership) (RIA) (HORIZON-CL4-2022-TWIN-TRANSITION-01, 2022)
Start date: 2022-12-01
End date: 2026-01-31
Duration (months): 38.0
Total project cost (EUR): 4481813.0
EU funding (EUR): 4481812.5
Participants: 14
Project status: SIGNED

SYNTECS brings together a consortium of industry leaders and academic and research organisations that are at the forefront of laser-based processing. SYNTECS is designed to tackle the multiple challenges experienced with current chemical and mechanical surface treatments. The overall aim of SYNTECS is to develop and demonstrate a digital and green laser texturing approach to generating complex multifunctional surfaces. A machine platform will be developed (TRL6), that enables interchangeable Direct Laser Writing (DLW), Direct Laser Interference Patterning (DLIP) and Laser Induced Periodic Surface Structuring (LIPSS), with a multi-axis motion stage for processing complex geometries and an inline monitoring and control system. The combined system will streamline the generation of hierarchical surface textures, i.e. textures which combine at least two significantly different sized features. The surface multi-functionality enabled by these hierarchical textures will be demonstrated in three industrial case studies: an injection moulding tool, a hip implant system and a complex shaped vapour chamber. Surface textures and texturing processes for these demonstrators will be designed using a Design for Surface Engineering software module, which will incorporate LCA guidance combined with predictive performance modelling to enable sustainable-by-design decision making. SYNTECS will demonstrate that hierarchical laser surface texturing provides a highly efficient and flexible route to replacing multiple (typically chemical and mechanical) energy and resources intensive surface treatments steps with a single, digitally controlled, chemical- and waste-free process.

Keywords: laser texturing,direct laser interference patterning,direct laser writing,laser induced periodic surface structures,lipss,dlip,dlw
Probing the malignant potential of mutant clones in healthy mammary tissue by successive mutagenesis (SUCCESSion)

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: Belgium
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2024-12-01
End date: 2029-11-30
Duration (months): 60.0
Total project cost (EUR): 1497740.0
EU funding (EUR): 1497740.0
Participants: 1
Project status: SIGNED

Mutant cells are abundant in normal tissues, but only very few will transform into life-threatening cancer. The triggers for these mutant clones to transform are unclear. Phylogenetic studies of solid cancers hinted towards an impact of the order of mutation acquisition on the malignant potential of mutant clones. However, to date, no functional studies exist validating these findings in the in vivo context. Mutant clones closely interact with their environment. Intravital microscopy experiments from my lab showed that phenotypically normal, but mutant clones in the mammary epithelium, the tissue of origin of breast cancer, dynamically rewire their environment in a mutation-specific manner. Hence, I hypothesize that the transforming potential of a mutant clone does not lie in the combination of mutations, but rather in the order in which these mutations were acquired, and thus the way in which the environment of the mutant clone was sequentially rewired, leading to a permissive or a resistant environment for tumour initiation. Tools to study sequential acquisition of mutations in vivo do not exist. Therefore, the possibility that one mutation may need to precede the other for a mutant clone to transform, has not been studied. SUCCESSion will fill this gap and develop a novel sequential somatic gene editing technology. This will be combined with intravital imaging and transcriptional profiling to study for the first time the effects of different sequences of mutations on cell behaviour and sequential rewiring of the micro-environment in the mammary gland. SUCCESSion will have a ground breaking impact from a technical point of view as it will establish a novel way of modelling pre-cancer in vivo, and from a biological point of view as it will elucidate the temporal evolution of pre-cancer in unprecedented detail. This will lead to better understanding of tumour initiation and improve risk prediction enabling early interventions to stop the cancer before it starts.

Keywords: mammary gland tumor initiation normal phenotype mammary organoids intravital microscopy lineage tracing somatic engineering
Spatio-temporal integration of skin inflammation (4D-SkINFLAM)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Immunity, Infection and I mmunotherapy
Panel description: The immune system , related disorders  and their mechanisms , biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases , innovative imm unological tools and approaches , including  therapies
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2023-10-01
End date: 2028-09-30
Duration (months): 60.0
Total project cost (EUR): 2499188.0
EU funding (EUR): 2499188.0
Participants: 1
Project status: SIGNED

To ‘feel comfortable in one’s own skin’ is an idiom referring to one’s confidence in interacting with others. However, when the skin is inflamed, as in atopic dermatitis or psoriasis, patients carry a sub-stantial burden leading to opposite effects. Current therapies target redundant, late-stage inflammatory events but not the disease drivers, leading to heterogeneous and insufficient efficacy. Understanding the proximal mechanisms of inflammation will stimulate the development of better therapies. Among the innate immune sensors for stress and microbes in keratinocytes, mutations in the NLRP1 and NLRP10 inflammasomes are linked to skin disorders. These molecules and the pro- and anti-inflammatory IL-1 family members they regulate are differentially expressed in the different layers of the epidermis. We hypothesize that inflammasome signaling in keratinocytes needs context-dependent and spatio-temporal control to avoid inflammation, which poses unique analytical and conceptual challenges. Therefore, to understand how inflammasome signaling in specific keratinocytes drives skin inflammation, 4D-SkINFLAM will i. optogenetically activate specific inflammasome components with spatio-temporal precision and perform a spatial analysis of transcriptomes and proteomes in neighboring cells. With loss-of-function approaches and pathway activity reporters, we will ii. define the ‘sensome’ and the activity of inflammasomes in different areas of the epidermis. Using mouse models, we will iii. evaluate how spatial inflammasome activity drives skin inflammation. Through iv. AI-driven deep visual proteomics combined with an analysis of inflammasome activity, we will discover spatial in-flammasome activation and its effects in inflammatory skin disorders. A precise understanding of spatio-temporal inflammasome signaling in the skin will be critical for se-lecting therapeutic targets acting as upstream drivers of prevalent diseases with high unmet needs.

Keywords: inflammasome,il 1 family,spatio temporal regulation,optogenetics,proteomics
Hip at what cost? How the human pelvis adapted to bipedalism and childbirth (RISEN)

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: Italy,United States,Spain
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-03-01
End date: 2027-02-28
Duration (months): 36.0
Total project cost (EUR): 265099.2
EU funding (EUR): 265099.2
Participants: 4
Project status: SIGNED

Evolutionary selective pressures have shaped the human skeleton for millions of years, contributing to its distinctiveness compared to other primates. Among all the elements of our skeleton that have undergone huge modification, arguably one of the most distinctive ones is the pelvis. The pelvis plays a pivotal role in reinforcing the skeleton against external forces during locomotion and as such, selection pressures have acted particularly on it. However, efficient bipedalism came at a cost, when balancing other selection pressures. As a result, the difficulty of childbirth has been constant during human evolution. Today, obstructed labour is the cause of 8% of maternal mortality. A deep analysis of the biosocial dynamics that act from birth to adulthood is fundamental for a complete understanding of pelvic anatomy. Such a developmental perspective on the pelvis anatomy is currently missing. RISEN aims to fill this gap by extensively exploring the mechanisms that lie behind pelvic development, unravelling how, when, and to what extent external influences - e.g., bipedalism, health status - affect adult bone morphology. Thanks to the proposed innovative and multidisciplinary methodology that leverages cutting-edge technologies and brings together biological and cultural data, RISEN (24 months, USA – 12 months, Italy) will produce a comprehensive investigation that will have a huge impact on contemporary society or public health issues related to women's lives. This international and interdisciplinary project will give the fellow a full background and foster scientific expertise to accomplish a project as ambitious as RISEN. This project responds to EU research priorities through the transfer of gained knowledge and partnerships development with leading experts. Not only does it improve employability and career prospects, but also contributes to the EU's competitiveness and growth.

Keywords: skeletal development biological anthropology ontogeny trabecular analysis morphometrics women bipedal locomotion childbirth
“CLEAR”: Cell Envelope Antibacterials (CLEAR)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Denmark,Germany,Netherlands,Spain,Ireland,Latvia,Italy,Belgium,Australia,United States
Call: MSCA Doctoral Networks 2022 (HORIZON-MSCA-2022-DN-01, 2022)
Start date: 2024-01-01
End date: 2027-12-31
Duration (months): 48.0
Total project cost (EUR): 2930277.13
EU funding (EUR): 2706538.16
Participants: 16
Project status: SIGNED

The discovery of penicillin initiated the antibiotic era and saved millions from dying of life-threatening bacterial infections such as tuberculosis, sepsis, and pneumonia. Penicillin kills bacteria by inhibiting synthesis of peptidoglycan, an important structure of the bacterial cell envelope. Still today, antibiotics targeting the bacterial cell envelope are the most widely used antibiotics in the world. Unfortunately, resistance to these superior antibiotics is becoming highly prevalent and antibiotic-resistant bacteria represent one of the greatest threats to human health and development today. In the CLEAR (Cell Envelope Anti-bacterials) training network, world-leading researchers from academia have gathered with clinicians and 4 highly relevant SME partners to train a new generation of excellent European scientists in finding novel solutions for targeting the cell envelope of bacteria, who know how findings in academia generate assets to SMEs, and who could bring novel antimicrobial solutions to the market. The proposed research program builds on unique findings of the project partners that allow us to take up innovative and yet feasible approaches 1) to identify novel targets in the cell envelope and to evaluate the lead structure potential of novel agents acting on the cell envelope, 2) to re-sensitize resistant bacteria to existing cell wall antibiotics, 3) and to explore novel therapies acting via the cell envelope. Impacts of this proposal are the re-use of safe and cheap antibiotics, and the drugs already approved for treatment of other diseases as novel antimicrobials. The training program combines a broad range of scientific disciplines such as molecular biology, biochemistry, structural biology, screening technologies, pre-clinical testing with complementary courses in innovation, market potential and business strategies ensuring that the 10 PhDs will be highly competitive for both top European research institutions and the pharma/biotech job market.

Keywords: antibiotic resistance mrsa gram positive cell envelope penicillin
Synthetic and structural biology of Rab GTPase networks (GTPaseNet)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Austria
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1928624.0
EU funding (EUR): 1928624.0
Participants: 1
Project status: SIGNED

Eukaryotic cells are characterized by their compartmentalization into hundreds of different membrane-bound organelles with unique biochemical identities. Small GTPases of the Rab family play a central role in this organization, but how they are able to generate spatiotemporal order in the complex cellular environment is currently not known. Most previous studies on Rab GTPases have either relied on describing their behavior in living cells or in highly reductionist biochemical assays. However, neither of these two approaches can explain the dynamic activity patterns of Rab GTPases associated with their cellular functions. It has become clear that Rab GTPases are controlled in sophisticated regulatory networks with emergent, self-organizing properties. To obtain a mechanistic understanding of these Rab GTPase systems, new experimental assays are now required. In this proposal, we will use a “bottom-up” synthetic biology approach to rebuild the biochemical networks of Rab GTPases from purified components and demonstrate their self-organization into spatiotemporal activity patterns in vitro. We will combine these reconstitution experiments with cryo-electron microscopy to elucidate the structures of membrane-recruited Rab GTPase regulators. Finally, we will use microfabrication and laser lithography to prepare a mimic for the compartmentalized cell and find out how Rab GTPase signaling systems sense and process preexisting geometric and biochemical cues as in the living cell. This project will provide novel, quantitative information from different scales, from the emergent ensemble behavior down to the molecular structure of protein complexes. Together, this data will reveal how signaling systems of Rab GTPases control membrane identities in space and time, thereby improving our understanding of the intracellular organization of the eukaryotic cell.

Keywords: in vitro reconstitution,protein self organization,bottom up synthetic biology