Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
SmartNiBP: Non-invasive continuous blood pressure monitoring during surgery (SmartNiBP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Austria
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-05-01
End date: 2017-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

A large number of surgeries, over 50 million per year worldwide, from Caesarean section to hip replacements, require continuous blood pressure (BP) monitoring. Until today, no non-invasive method exists that is suitable for clinical practice, thus making monitoring this vital sign unnecessarily painful, risky, time-consuming, and expensive. The majority of patients (80%) do not receive continuous BP monitoring. This lack of control increases the peri- and postoperative risk for these patients significantly. ImPress MedTech GmbH is a medical technologies company whose aim is to implement simple-to-use, non-invasive, continuous BP measurement as a new clinical standard. With the SmartNiBP project, ImPress MedTech aims to fully develop and commercialize a proprietary medical device that uses innovative technology based on impedance cardiography to provide continuous non-invasive BP measurement. The technology is inexpensive, robust, and uses a clinically well-known setup. SmartNiBP ties easily into existing multi-parameter monitoring equipment and requires no extra training. SmartNiBP will be commercialized in 3 years as a SmartNiBP monitor unit and SmartNiBP disposable electrodes, with an expected ROI of 7.68. With SmartNiBP’s disruptive technology for BP measuring, patients will be spared pain and the risk of complications.Conceived as a medical device, our stand-alone soft&hardware solution is able to reliably support the surgeon throughout the arduous decision-making routine incurred in surgeries and any operational procedures where continuous BP measurement is needed. The result will be a large improvement in patient outcomes and a reduction in healthcare costs. SmartNiBP we will first designed for hospital settings, but it could be equally quickly adapted to other clients. Especially we are interested in mobile devices, BP monitoring for medicated individuals, sports medicine or healthcare of the elderly.

Keywords: blood pressure,device,hypotension,non invasive technology
Archipelagic Imperatives: Shipwreck and Lifesaving in European Societies since 1800 (AISLES)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-05-01
End date: 2025-04-30
Duration (months): 60.0
Total project cost (EUR): 1912016.0
EU funding (EUR): 1912016.0
Participants: 1
Project status: SIGNED

Why does humanitarianism take the form of an archipelago, an aggregation of “single issues,” selective, resistant to generalization, and even at times inconsistent? In order to answer this question, which is crucial to, but has been sidelined in histories of humanitarianism, the project develops a novel approach. This approach homes in on the rupture of humanitarian morality with quotidian moral norms and values. For this purpose, the project investigates the history of a particular moral norm, the imperative of saving lives from shipwreck, that emerged in the ambit of volunteer lifeboat movements from the 1820s onward. Such movements had emerged first in Britain and the Netherlands, then elsewhere, most prominently France and Germany. The imperative in question took the form of a novel unconditional norm that demanded taking counterintuitive risks in order to save lives. Previously, assistance to the shipwrecked had been situational. Moral detachment from suffering had been recognized as a value. Existential risk had constituted an exemption from lifesaving duty. Lifeboat movements overturned this quotidian moral rationale. This shift was neither determined by economic incentives nor by technological or legal innovation. The saving of lives from shipwreck thus provides an ideal laboratory, with a rich and varied source base, for understanding humanitarian-moral innovation on its own terms. The intervention of the project is twofold. On the plane of historical knowledge, it provides a model for the deep contextual analysis of moral culture in terms of the emergence, sustenance, representation, and insular distinctness of humanitarian imperatives. On the plane of theoretical knowledge, the project develops innovative answers to questions of moral theory, especially about the generality of norms and the conflicted relation of humanitarianism and everyday morality. The project develops novel methodological tools for combining moral theorizing and historical research.

Keywords: humanitarianism,moral culture,history of moral thought,history of maritime cultures
Computational genomics of long noncoding RNA domains across metazoans (RNADOMAIN)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Ireland,Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-07-01
End date: 2023-06-30
Duration (months): 24.0
Total project cost (EUR): 196590.72
EU funding (EUR): 196590.72
Participants: 2
Project status: CLOSED

From junk DNA to genomic dark matter, the road to understanding RNAs that do not encode for proteins has been full of surprises. Compared to 19,000 protein-coding genes, recent estimates point that our genome contains between 25,000 and 100,000 long noncoding RNA (lncRNA) genes. Far from being inert, some lncRNAs are involved in development and disease, particularly, cancer. It has also been shown that the function of a lncRNA can be associated with its localisation in subcellular compartments. Nevertheless, to experimentally characterize and validate interesting lncRNAs is an arduous task. Computational approaches based on machine learning could be designed to complement and scale-up such efforts. Based on recent experimental discoveries, it has been proposed that lncRNAs are separable into functional domains, and that these domains are intimately related to transposable elements and repeats. Nevertheless, how functions are encoded in primary RNA sequence is a fundamental unsolved problem. I propose to develop the first high-throughput computational approach to map lncRNA domains across metazoan genomes. Domains will be first identified according to statistical evidence supported by current biological insights. Putative domains will be queried against state-of-the-art databases on lncRNA function, localisation, and disease. Machine learning algorithms will then be employed to predict new functional domains, and new mechanistic insights will be offered for promising candidates. Lastly, the obtained maps will be stored and disseminated in a database, that will be regularly updated and readily accessible for the research community. This will be a foundational resource to finally shed light on the role of lncRNAs, their regulation and involvement in disease.

Keywords: long non coding rna,transposable elements,repeats,functional domains,disease association,cellular localisation,machine learning
From Knowledge to Innovation: Building the evidence base to inform innovative entrepreneurship and risk-finance policies (KNOWINN)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Innovative societies
Action type: Coordination and support actions
Countries involved: France
Call: Implementation of the OECD-European Commission administrative arrangement (H2020-IBA-SC6-OECD-EC-2018, 2018)
Start date: 2019-01-01
End date: 2020-12-31
Duration (months): 24.0
Total project cost (EUR): 351647.5
EU funding (EUR): 260000.0
Participants: 1
Project status: CLOSED

This project aims at achieving the following two main objectives: 1. Providing new evidence on the role of public research institutions in fostering innovative entrepreneurship; and, 2. Providing new evidence on the role of national policies and framework conditions in catalysing the translation of scientific knowledge into innovative entrepreneurship. The OECD will use innovative data sources and statistical techniques to provide an unprecedented portrait of innovative start-ups and VC investments across countries and sectors (Breschi, Lassébie, and Menon, 2018). Building on previous work, as well on additional data sources on e.g. intellectual property (IP) rights and on national policies (e.g. from the STIP Compass database), the OECD is distinctively positioned to deliver on the two main objectives of the project illustrated below.

Keywords: knowledge,innovation,entrepreneurship and risk finance policies
ANtibioticS and mobile resistance elements in WastEwater Reuse applications: risks and innovative solutions (ANSWER)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Austria,Austria,Germany,Germany,Italy,Israel,Spain,Italy,Cyprus,Slovakia,Slovakia,Netherlands,Netherlands,Portugal,Portugal
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2015, 2015)
Start date: 2015-10-01
End date: 2019-09-30
Duration (months): 48.0
Total project cost (EUR): 3708689.76
EU funding (EUR): 3708689.76
Participants: 18
Project status: CLOSED

In response to the increasing problem of water shortage, the reuse of treated urban wastewater is considered the most suitable and reliable alternative for sustainable water management and agricultural development. In spite of the benefits associated with this practice, major concerns currently exist, related to the adverse effects regarding chemical and biological contaminants of emerging concern such as antibiotics and mobile antibiotic resistance elements such as antibiotic resistant bacteria and resistance genes. These are now considered as a serious public health problem by various international organizations and the European Commission, because of their spread in the environment, the food chain, drinking water, etc. To tackle these problems, scientists with an interdisciplinary research/training background are urgently needed. This ETN will train a new generation of ESRs to address the risks associated with such contaminants and wastewater reuse. Innovative chemical, microbiological, toxicological and modelling tools, and novel process engineering will form the scientific and training core of their innovative research projects and training. The project will contribute to understanding the fate and transmission of antibiotics and resistance from wastewater to the environment and humans, through soil, ground/surface water and crops. Relevant ELVs will be determined, essential for the development and implementation of regulatory frameworks. This project directly tackles these aspects, by bringing together a multidisciplinary research team, with the private sector, and policy makers and through communication activities towards stakeholders and the wider public.

Keywords: wastewater treatment and reuse,irrigation by treated wastewater,antibiotics,antibiotic resistance,uptake of microcontaminants by crops
Functional brain networks in epilepsy (EPICONNECT)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Switzerland,Belgium
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-01-01
End date: 2018-06-30
Duration (months): 30.0
Total project cost (EUR): 211964.7
EU funding (EUR): 211964.7
Participants: 2
Project status: CLOSED

This proposal for a Marie Sklodowska-Curie Global Fellowship is meant for the training of Dr. Pieter van Mierlo, currently at Ghent University, in the Functional Brain Mapping Laboratory (FBM Lab) of the University of Geneva, one of the world leading brain imaging laboratories. The goal of the project is to explore the communication between brain regions in epilepsy patients to ameliorate their treatment. In the first stage a non-invasive tool, ElectroEncephaloGraphy (EEG), will be used to measure the electric field of the brain through electrodes placed on top of the scalp. By measuring the voltage difference between the EEG electrodes the electric field of the brain can be studied with a high temporal resolution (ms). Recently, high density EEG (hd-EEG) systems have been developed with up to 256 electrodes. These systems allow more accurate measurements compared to the old systems having only ± 32 electrodes. The FBM Lab is one of the few labs that have hd-EEG recordings of epilepsy patients. In this project we will develop an algorithm to investigate the brain networks in epilepsy patients based on hd-EEG recordings. The brain networks will be studied to localize the epileptic focus, the brain region that causes the seizures. In the second stage hd-EEG will be combined with functional Magnetic Resonance Imaging (fMRI) that images the concentration of oxygen in the brain with a high spatial resolution (mm). The simultaneously recorded hd-EEG / fMRI allows studying the brain networks with both a high temporal and spatial resolution. Furthermore, fMRI is more sensitive to record brain activity of deep brain structures compared to hd-EEG. The added value of combining hd-EEG with fMRI to localize the epileptic focus will be assessed. In the third and final stage, the developed algorithms will be implemented at the UGent. A prospective study will be done to quantify the influence of functional connectivity analysis on patients’ treatment management.

Keywords: epilepsy,high density eeg,brain connectivity,functional mri
Bioactive glass in electrospun matrices: functionalised smart scaffolds for interface tissue engineering applications (BIOeSPUN scaffolds)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-06-01
End date: 2017-05-31
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

The project aims to fabricate and characterise novel type of multilayered scaffolds suitable for interface tissue engineering applications, in particular for osteochondral segment regeneration. Osteochondral defects imply injury in cartilage, bone and bone-cartilage interface tissues, characteristic of all the joints of human body, its causes could be both traumatic and due to aging-related pathologies. The project will be focused on the integration of several scaffold fabrication techniques for the development of novel electrospun multilayered scaffolds. In particular, considering the well-known effects of bioactive glass on osteogenesis, angiogenesis and its antibacterial activity, electrospun bioactive glass mats will be fabricated. Moreover, bioactive glass particles will be dispersed in a polymeric solution before the electrospinning for the fabrication of bioactive glass-doped mats. These two kind of scaffold will be used for the fabrication of the multilayered structures. Innovative solutions will be adopted for the obtainment of the stratified samples, integrating different technologies as the electrospinning, freeze-drying and foam replica method. The training of the researcher in the host Institution will be focus on the development of skills related to cell culture management and in particular on cell culture for tissue engineering. The training will start with cell viability tests and cell seeding on several kind of scaffolds. Several cell lines will be used and it will be also investigated stem cells differentiation. The use of co-culture systems and dynamic cell culture will also be evaluated and eventually applied to the multilayered scaffolds. An innovative approach will be used in the investigation of scaffold mechanical properties, in fact mechanical tests will be performed on the multilayered samples and on each single layer to evaluate the deposition of ECM on the seeded scaffolds and how it affects scaffold mechanical properties.

Keywords: bioactive glass,electrospinning,cell scaffold interactions,tissue engineering
Critical Slope Gross-Zagier formula and Perrin-Riou's Conjecture (CriticalGZ)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: Ireland,Türkiye,United States
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-08-01
End date: 2019-07-31
Duration (months): 24.0
Total project cost (EUR): 152988.04
EU funding (EUR): 152988.0
Participants: 3
Project status: CLOSED

The main objective of this project is to prove a p-adic Gross-Zagier formula for the critical slope p-adic L-functions attached to p-ordinary modular forms. As we will explain in the main body of this proposal, such a formula will lead, among other things, to a full proof of a conjecture of Perrin-Riou (that gives a precise comparison between p-adic Beilinson-Kato elements and Heegner points). Our approach will rely heavily on the theme of p-adic variation and will consist of three major steps (which, we believe, are independent on their own right): As the first step, we would like to interpolate the Heegner cycles associated to modular forms along Coleman families. This has been carried out for p-ordinary forms by Benjamin Howard (and complemented by the work of Francesc Castella, befitting our goals). The second step is to carry out a construction of the two-variable p-adic L-function for the base change of a Coleman family (over an affinoid A, say) to the suitable imaginary quadratic field. We note here that such a p-adic L-function over the field of rationals has been constructed by Joel Bellaiche. The third and final step is to prove p-adic Gross-Zagier formulae for individual (p-non-ordinary) members of the family. This has been carried out by S. Kobayashi for weight 2 forms; we aim to provide a generalisation of his work to higher weights. Noting that p-adic height pairings readily deform well in families (thanks to the work of Denis Benois, in this context), we aim to prove a A-adic Gross-Zagier formula for the cyclotomic derivative of the base change p-adic L-function. This formula, when specialized to weight 2, will yield the desired formula. In the duration of this fellowship, we also intend to carry out several projects with our long-term collaborator Antonio Lei. We shall provide a brief account for these in the main body of our proposal.

Keywords: modular forms,families of modular forms,interpolation of heegner cycles,p adic l functions,gross zagier formula,iwasawa theory
MENUTECH: Automated allergen labeling and translation for restaurant menus (MENUTECH)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-08-01
End date: 2019-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

17 million Europeans suffer from a food allergy, particularly children under 5 years old 1 . This is a growing public health concern, as the hospital admissions for severe allergic reactions in children increased 7 fold in the last 10 years 2 . 7 out of 10 allergic reactions occur when people eat outside from their homes, including 20% of these happening in schools 3 . The European Food Information Council has replaced 7 and amended 2 directives on nutrition, food safety and allergen labelling. As a result, it is no longer possible for hotels, restaurants and caterings to provide information on dishes causing allergies or intolerances only and simply upon request by the consumer. The information on 14 allergens must be provided in written form. The main challenges faced by companies providing guest- friendly, multilingual and legally compliant food and beverage menus are the lack of (1) time, (2) resources and (3) technical expertise. Menutech is a Software as a service (SaaS) which automates the preparation of food menus: it automates allergen declaration, menu translation and menu design leveraging machine learning technologies powered by a rich database of dishes. The Menutech software, which is compliant with EU FIC 1169/2011 regulation, comes with allergen information for thousands of common dishes, so that Menutech’s customers can ensure that all allergens are adequately labelled with ease. At the moment, the platform contains 16.000 translated dishes (DE, EN, IT, FR) and 6.000 dishes with labelled allergens. Menutech has been developed by Menutech GmbH, a German company founded in February 2017, which has already secured 12 clients (823 users) in Germany, Switzerland, Italy and France. Menutech seeks funding to conduct a feasibility study to prove technical and commercial viability, conducting an analytical exercise to position the product.

Keywords: digital services,food allergy,gastronomy industry,accommodation and food services,labeling automation,menu design automation