Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Improving COLOrectal cancer screening: Novel INverse and FOrward algorithms for a new real-time microwave endoscopy (COLONINFO)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-07-01
End date: 2020-08-19
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

More than 470,000 European citizens are diagnosed every year with colorectal cancer (CRC), accounting 12.2% of the total number of cancer deaths. The cumulative risk of CRC in persons aged under 75 is 4.17% in men and 2.3% in women. Screening options are used in EU for the early detection of CRC and the most likely one (after positive faecal test) is the endoscopy. However, the reduced field of vision of the endoscopic camera (<180°), the non-homogenous illumination, the polyp concealment due to angulations and folds of the colon or poor colon cleansing, and the dependence on the experience of the clinician who performs endoscopy, result in lack of efficacy of this technique. It is estimated that after a negative colonoscopy the risk of having CRC is 60-70%. The host has just invented MiWEndo, a low cost system of microwave image generation for clinical endoscopic applications. The pre-prototyped device is a small endoscope head composed by an array of antennas that transmits and receives microwave signals, and it will form anatomical and functional images of the interior of the gastro-intestinal tract as the endoscope travels along it. The goal is to provide real-time (360°) images in endoscopic explorations and interventions, offer a better understanding of the CRC behavior (by allowing quantification), and guide diagnosis and therapy. The objective of this MSCA is to ensure the computational efficiency and robustness (in terms of resolution and computational time) by developing a reconstruction software able to guide diagnostic and allowing quantification in real-time (not yet possible). This project will be completed in a leading multi-disciplinary research group. The applicant brings mathematical and bioengineering skills that will facilitate research in the group and the transfer of ideas. The proposed work will expand her experience, research competencies and professional networks, enhancing the development of her career as an independent researcher.

Keywords: inverse problem,forward problem,colorectal cancer,microwave imaging,colonoscopy,endoscopy,image reconstruction
Common Infrastructure for National Cohorts in Europe, Canada, and Africa (CINECA)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Methods and data
Action type: Research and Innovation actions
Countries involved: Estonia,South Africa,Austria,Germany,Spain,Germany,Switzerland,Finland,Switzerland,Switzerland,France,Czechia,Netherlands,Netherlands,Netherlands,United Kingdom,Canada,United Kingdom
Call: International flagship collaboration with Canada for human data storage, integration and sharing to enable personalised medicine approaches (H2020-SC1-2018-Single-Stage-RTD, 2018)
Start date: 2019-01-01
End date: 2023-06-30
Duration (months): 54.0
Total project cost (EUR): 6641456.25
EU funding (EUR): 5998456.25
Participants: 20
Project status: SIGNED

Thousands of human genomes and other biomolecular datasets are now being generated in health, rather than research contexts. Centralised storage and analysis of these is no longer technically feasible for data harmonisation, curation, sharing or analysis and ethical, legal, social reasons. CINECA’s vision is a federated cloud enabled infrastructure making population scale genomic and biomolecular data accessible across international borders, accelerating research, and improving the health of individuals across continents. CINECA will leverage international investment in human cohort studies from Europe, Canada, and Africa to deliver a paradigm shift of federated research and clinical applications. The CINECA consortium will create one of the largest cross-continental implementations of human genetic and phenotypic data federation and interoperability with a focus on common (complex) disease, one of the world’s most significant health burdens. The partners represent a unique combination of scientific excellence with experience of eleven diverse cohorts and scientific projects such as the European Genome-phenome Archive, CanDIG, and H3Africa. CINECA has assembled a virtual cohort of 1.4M individuals from population, longitudinal and disease studies. Federated analyses will deliver new scientific knowledge, harmonisation strategies and the necessary ELSI framework supporting data exchange across legal jurisdictions enabling federated analyses in the cloud. CINECA will provide a template to achieve virtual longitudinal and disease specific cohorts of millions of samples, to advance benefits to patients. CINECA will leverage partner membership of standards and infrastructures like the Global Alliance for Global Health, BBMRI, ELIXIR, and EOSC driving the state of the art in standards development, technical implementation and FAIR data.

Keywords: federation,personalised medicine,health,data,cohorts,biobanks,genomics,longitudinal,fair
CRESCENT: Adaptive hands-free controller for people with disabilities (CRESCENT)

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

In Europe today, an ever-growing population (over 4.3%) disabled by upper limb deficiency are unable to use digital devices. Assistive technology devices have been created to enable people with disabilities to use computer, tablets or smartphones. Conventional input devices allow individuals to control their computers through means other than a standard keyboard or pointing device. However, these solutions present many limitations: they generally require additional software or hardware such as connectors, cameras, etc. Their dependency on a camera put serious limitation on the motion of the user by keeping him stationary. In addition, some are only able to be used with specific operating systems, within a given program or single PC. Moreover, these devices have no sensibility related to disorders of involuntary spasms, such as CP and Parkinson's, or reduced muscle function, such as those suffering from paralysis and amputation. 6Degrees has developed the first Intuitive Motion Controller: Crescent is a light, wearable band that enables the user to control any PC, Tablet or Smartphone with ease, effectively replacing a mouse or finger on a touch screen. It uses wireless communication and requires no added programs. Using a patented, adaptable, self-calibrating and learning algorithm, Crescent is a plug-and-play Bluetooth device that, worn on the upper arm, translates gross arm movement into commands. Crescent provides all-in-one solution, aimed at the Upper Limb deficiency as a whole. 6Degrees seeks funding to conduct a feasibility study to prove technical and commercial viability, conducting an analytical exercise to position the product. The objective is to test the economic viability of the platform among a larger pool of potential clients (user-acceptance), and to assess if the chosen commercialization approach will be conducive of the projected growth on the European level.

Keywords: motion controller,disabilities,digital inclusion,social inclusion,economic,inclusion
Fucoxanthin Upregulation through Combined Omics and Metabolically Improving Control Segments (FUCOMICS)

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: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-03-01
End date: 2024-02-29
Duration (months): 24.0
Total project cost (EUR): 214158.72
EU funding (EUR): 214158.72
Participants: 1
Project status: CLOSED

The growing awareness towards health and disease prevention holds a great future globally for naturally derived nutraceuticals. This has led to a dramatic increase in demands of naturally synthesized carotenoids, particularly fucoxanthin. This golden-brown carotenoid is used as anti-oxidant, anti-cancer, anti-diabetic, and anti-obesity component making it a valuable product for nutraceutical and food industries. Diatoms, particularly Phaeodactylum, naturally synthesize fucoxanthin in high amounts as compared to their counterparts (seaweeds), making them one of the most promising candidates for sustainable fucoxanthin production. However, to exploit these diatoms for commercial fucoxanthin production, highly productive strains capable of growing at low operational costs along with a detailed understanding of the fucoxanthin biosynthesis pathway to steer conditions towards most favourable for high yields are imperative. To this end, FUCOMICS will develop an integrated omics pipeline (transcriptomics and proteomics) to gain insight into fucoxanthin synthesis and identify key regulatory elements/genes for enhancing fucoxanthin synthesis in the local Norwegian isolate Phaeodactylum tricornutum B58. Further, by utilizing Response Surface Methodology culture conditions will be optimized for maximum fucoxanthin synthesis. The identified key regulatory elements/genes will be validated by generating engineered strains of P. tricornutum B58 using the advanced CRISPR/Cas 9 technique. The results generated by FUCOMICS will not only be a starting step towards commercialization of microalgal fucoxanthin, but can also act as foundation for more difficult components, such as omega-3 fatty acids and biomass as whole. Furthermore, the fucoxanthin-extracted biomass, still rich in omega-3 fatty acids, can be utilized as feedstock for aquaculture, a major industry in Norway. As such, this project is in line with the EU strategy for the sustainable development of algae and aquaculture.

Keywords: microalgae,fucoxanthin,omics,crispr,cas9
A new approach in curve counting theories and mirror symmetry (NCMS)

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: Mathematics
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 203149.44
EU funding (EUR): 203149.44
Participants: 1
Project status: SIGNED

A Marie Sklodowska-Curie IF at ETH-Zurich will lead to major developments of the PI's current research. The PI's research focuses on better understanding the mathematical implications of the physical dualities that arise in the study of string theory. Mirror symmetry, which is a kind of duality in string theory, equates two physical theories called the A-model and B-model. Mirror symmetry predicts that the A-model (resp. the B-model) of a space/variety is equivalent to the B-model (resp. the A-model) of its mirror space/variety. In mathematics, the A-model corresponds to Gromov--Witten (GW) theory, which is one of the first modern curve counting theories in enumerative geometry. To a physicist, a complex curve represents the worldsheet of a string propagating through space-time. In 2018, the PI initiated a new research program which provides a novel approach of using orbifold techniques to count curves in algebraic varieties with tangency conditions along co-dimension one sub-varieties (divisors). This novel approach defines a generalization of relative GW theory which plays a central role in mirror symmetry. Several major advances have been achieved in the past two years and a new research direction has been created. This proposal focuses on this new research program and its applications to curve counting theories and mirror symmetry. We expect to build a firm foundation for our new theory and expand this program along various directions. The proposal is divided into three main projects. The first project focuses on structural properties of the new GW theory and its relation with punctured GW theory. The second project explores applications of the new theory to several aspects of mirror symmetry including Gross--Siebert program, the Strominger--Yau--Zaslow (SYZ) conjecture and the Doran--Harder--Thompson (DHT) conjecture. The third application focuses on its connections with other curve counting theories.

Keywords: gromov witten theory,curves,mirror symmetry,gross siebert program,orbifolds,stacks,calabi yau manifolds,logarithmic geometry
BRAIN IMAGING WITH ARRAYS OF QUANTUM SENSORS (Brainiaqs)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Emerging themes and communities
Action type: Research and Innovation actions
Countries involved: Germany,Sweden,Finland,Netherlands
Call: EIC Transition to Innovation Activities (H2020-EIC-FETPROACT-2019, 2019)
Start date: 2020-10-16
End date: 2023-04-15
Duration (months): 30.0
Total project cost (EUR): 1999998.75
EU funding (EUR): 1999998.75
Participants: 4
Project status: SIGNED

The goal of this project is to deploy quantum sensing technology in life sciences applications by developing and implementing arrays of quantum sensors, based on superconducting single-photon detectors, in a multi-photon microscope to greatly enhance imaging depth and resolution in live tissues. Currently the depth and imaging resolution in light microscopy is limited because of the low specifications of light detectors. A proof-of-concept light sensing technology, developed in a previous FET-OPEN project can overcome this limitation. This technology consists of multipixel superconducting nanowires that have shown to be extremely sensitive, combining high efficiency with low noise and high time resolution. However, in order to deploy these detectors in multi-photon microscopy, the active area of the sensor needs to enlarged with an order of magnitude. In this project Brainiaqs we will develop state-of-the-art technology, including cryogenic cooling systems, (cryogenic) amplification and nanofabrication to build and operate an Array of Quantum sensors. In addition the new device will be integrated in a multi-photon microscope and deployed in an experiment, aiming at doubling the imaging depth and resolution, with respect to current technique. This will be a huge breakthrough for biological imaging experiments.

Keywords: bio imaging,superconducting sensors,multi photon microsopy
Multi State Memory in Artificial Multiferroics (MuStMAM)

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: Physics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-03-01
End date: 2020-03-13
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Our digital universe is doubling in size every two years, so that by 2020, it will contain nearly as many digital bits as there are stars in our physical universe! Existing memory technologies are approaching their physical storage limitations as miniaturisation of electronic devices continues. This requires significant development of advanced next generation data storage technologies to sustain consumer demand for increasing levels of data creation. New materials and technology to store more data in smaller area are required. There is a strong argument in favour of investing in multiferroic material that is still at a distance from a marketable position. In this proposed project we will investigate the prospect of exchange bias coupled artificial multiferroic material for high density memory device to overcome the market demand. In recent research, multiferroic tunnel junctions (MFTJ) have excited enormous interest for high-density memory devices. In this project, we propose a heterostructure of ferromagnetic (FM) and ferroelectric (FE) materials where the interface becomes antiferromagnetic layer and creates exchange bias (EB) coupling with adjacent FM layer. Due to induced EB, the system will add additional functionality giant magneto resistance (GMR) along with tunneling electro-resistance (TER) and magneto-resistance (TMR) in a single MFTJ, and allow multiple resistive states per memory element at very low dimension where multiple bits can be stored. During the proposed project magnetoelectric process in artificial multiferroic systems will be investigated to unveil possible nanoscale coupling between different ferroic parameters, magneto-electric transport processes and effect of exchange bias on them. Heterostructure thin film with high degree of quality will be studied aiming high density multistate memory device. The project will offer the opportunity to work in collaboration with other research groups both within and outside the University of Cambridge.

Keywords: multiferroics,exchange bias,tunnel junction,magnetism,spintronics
Spatial organization of DNA repair within the nucleus (3D-REPAIR)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Integrative Biology: from Genes and Genomes to Systems
Panel description: Genetics, epigenetics, genomics and other ‘omics studies, bioinformatics, systems biology, genetic diseases, gene editing, innovative methods and modelling, ‘omics for personalised medicine
Countries involved: France,United Kingdom
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2017-03-01
End date: 2022-04-30
Duration (months): 62.0
Total project cost (EUR): 1999750.0
EU funding (EUR): 776220.45
Participants: 2
Project status: CLOSED

Faithful repair of double stranded DNA breaks (DSBs) is essential, as they are at the origin of genome instability, chromosomal translocations and cancer. Cells repair DSBs through different pathways, which can be faithful or mutagenic, and the balance between them at a given locus must be tightly regulated to preserve genome integrity. Although, much is known about DSB repair factors, how the choice between pathways is controlled within the nuclear environment is not understood. We have shown that nuclear architecture and non-random genome organization determine the frequency of chromosomal translocations and that pathway choice is dictated by the spatial organization of DNA in the nucleus. Nevertheless, what determines which pathway is activated in response to DSBs at specific genomic locations is not understood. Furthermore, the impact of 3D-genome folding on the kinetics and efficiency of DSB repair is completely unknown. Here we aim to understand how nuclear compartmentalization, chromatin structure and genome organization impact on the efficiency of detection, signaling and repair of DSBs. We will unravel what determines the DNA repair specificity within distinct nuclear compartments using protein tethering, promiscuous biotinylation and quantitative proteomics. We will determine how DNA repair is orchestrated at different heterochromatin structures using a CRISPR/Cas9-based system that allows, for the first time robust induction of DSBs at specific heterochromatin compartments. Finally, we will investigate the role of 3D-genome folding in the kinetics of DNA repair and pathway choice using single nucleotide resolution DSB-mapping coupled to 3D-topological maps. This proposal has significant implications for understanding the mechanisms controlling DNA repair within the nuclear environment and will reveal the regions of the genome that are susceptible to genomic instability and help us understand why certain mutations and translocations are recurrent in cancer

Keywords: nuclear organization,dna repair,chromatin,chromosomes
ToothPic, a large-scale camera identification system based on compressed fingerprints (ToothPic)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Italy
Call: ERC Proof of Concept Grant (ERC-2014-PoC, 2014)
Start date: 2015-09-01
End date: 2017-02-28
Duration (months): 18.0
Total project cost (EUR): 149526.0
EU funding (EUR): 149526.0
Participants: 2
Project status: CLOSED

The continuously growing amount of photos posted and distributed over the Internet poses several important problems related to improper use of images, such as exploiting them for commercial purposes, re-posting others’ photos without consent or infringing copyright, posting photos containing unethical or illegal contents, and so forth. Camera identification, which refers to identifying which digital imaging sensor has shot a given picture, exploiting the fact that each sensor leaves a unique fingerprint in all pictures, is a key ingredient in the solution to the aforementioned problems. The ToothPic project aims at validating a breakthrough camera identification technology developed during ERC starting grant “CRISP”. This technology is based on a novel compressed fingerprint format and outperforms state-of-the art techniques by orders of magnitude in terms of storage requirements and identification speed. As a consequence, it enables the deployment of camera-identification services on an unprecedented scale, paving the way for application to popular image sharing and social media sites. The proof-of-concept will consist in a very high-speed implementation of the camera identification core functionality, which will be used to validate the capability of the proposed technology to handle scenarios involving 100+ millions of sensor fingerprints, in real time and at a low cost. A set of demo applications, including a public search engine, taking as input a camera fingerprint or a photo and returning a list of photos acquired by the same camera, will also be implemented in order to raise a broad public interest and attract industries and venture capitalists. Upon successful validation, a European start-up company named “ToothPic” will be created to commercialise the proposed technology.

Keywords: camera identification,social networks,large scale systems,compressed sensing