Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
guano-based monitoring of ecosystems – a novel approach to capture ecological processes underlying ecosystem health (EcoScan)

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: Environment and Geosciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-06-01
End date: 2022-05-31
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: CLOSED

Climate change is arguably the most pressing challenge facing all life on earth, threatening human health, ecosystem integrity and the survival of vulnerable species and habitats. Monitoring ecosystem health is critical for the early detection of imbalances but current approaches to do so measure the end-state, not the mechanisms driving patterns of change. Plants form the base of ecosystem functioning and accumulate increased viral- and fungal load in response to climate-related stress. These viruses are ingested along with plant matter by insect herbivores who similarly have microorganisms and may be eaten by a secondary consumer such as a bat. In the current proposal, we take advantage of this natural aggregation through trophic levels by collecting bat guano which contains a snap-shot sample of the environment. Directly sampling the individual taxa in multi-trophic assemblages would be unfeasible both financially and logistically. We will then use the latest in high-throughput sequencing protocols in metabarcoding and viral metagenomics to retrieve plant viruses and fungi, in addition to insect, fungi and bat DNA, viruses and fungi. Temporal sampling across climatic zones and habitats will ensure that complex and seasonal ecosystem processes are captured. We will use novel, sophisticated methods in ecological analyses to explore taxon diversity, abundance and associations, and how these change over time. By constructing weighted and multi-layer networks we will illuminate the processes affecting seasonal ecosystem health in relation to habitat and climate. As such we will be able to distinguish between localised phenomena and effects which cascade across layers. Our proposal will substantially increase knowledge of biodiverse but understudied groups (non-pathogenic fungi and viruses), shed light on ecosystem processes and how they respond to climate change, and ultimately provide proof of concept results for ‘aggregation’ as a means to survey ecosystem health.

Keywords: biodiversity monitoring,ecosystem health,edna,chirosurveillance,agronomic pests,non invasive genetics,metabarcoding,virome,metagenomics,fungi,plant,trophic levels,climate change
DEEP FIELD: Seeing the Unseen in Image-guided Surgery (DEEP FIELD)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Ireland
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-04-01
End date: 2026-03-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

The future of surgery will be image-guided. But how will the surgeon navigate instruments beyond the camera's field of view without using harmful x-rays? The potential of magnetic tracking to navigate surgical instruments without x-rays has long been appreciated but current technology lacks sufficient accuracy, speed, robustness and immunity to magnetic field distortion to change the clinical paradigm. DEEP FIELD will break thorough the scientific frontier in surgical navigation to make magnetic tracking the new gold standard in surgical instrument navigation. The results of DEEP FIELD will significantly reduce or eliminate the use of real-time radiation sources such as x-ray and CT in many procedures while also enabling more accurate surgery, advanced image fusion and significantly improved patient outcomes. For this vision to become reality, DEEP FIELD will create ground-breaking magnetic field transmitter designs} with new magnetic field shaping and distortion rejection techniques (WP1) to provide faster (2.5X) and more accurate (8X) tracking than the current state of the art (NDI Aurora Tabletop transmitter). The project will develop new and ambitiously complex magnetic sensors, including the first on-chip sensor suitable for system-in-package (SiP) fusion with other sensor types. DEEP FIELD will also eliminate the wired connection to magnetic sensors which fail regularly in current clinical use (WP2). DEEP FIELD will demonstrate entirely novel algorithms for surgical instrument tracking using sensor fusion and machine learning approaches (WP3) to compensate for magnetic field distortion, a major shortcoming of current technology. An ambitious plan to integrate and test all three WPs in realistic pre-clinical settings (WP4) is included where DEEP FIELD designs will provide the scientific foundation for the future of intra-operative instrument tracking in cardiovascular navigation, endoscopy and robotic surgery without reliance on harmful radiation.

Keywords: magnetics,tracking,navigation,surgery,medicine,imaging,magnetic field,sensor,machine learning,wireless
PRO Business Innovation Moldova (PROBIM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Moldova, Republic of
Call: H2020 ENTREPRISE EUROPE NETWORK SGA4 2020-2021 (H2020-EEN-SGA4-2020-2021, 2019)
Start date: 2020-01-01
End date: 2021-12-31
Duration (months): 24.0
Total project cost (EUR): 24375.0
EU funding (EUR): 24138.989999999998
Participants: 4
Project status: CLOSED

Small and medium-sized enterprises (SMEs) have an important role in the economy. However in the Republic of Moldova the SMEs still exploit to a limited extent the innovation opportunities and prospects available at European level. To link EEN fully with H2020 support to innovation, and future promotion of the SME instrument, research active SMEs and research institutions will also be targeted, together with students and scientists (with special focus a women in science and research). Our approach is designed to ensure, therefore, that Consortium members, reinforce their cooperation with Horizon 2020 National Contact Points and develop their own relations with European specialists in innovation projects management, in preparation for more in-depth support to the SME Instrument (and other relevant Horizon 2020 action) in future.Through this, the project partners would be well positioned in future to facilitate the participation of SMEs in the SME Instrument coaching process by informing and convincing the potential beneficiary on the advantages of participating in the coaching facility, identifying the suitable coach from a central database, supporting the selected SMEs establish contact and develop trust with the selected coach and create conditions for the complete involvement of SMEs in the complete range of innovation support available at national or regional level.

Keywords: innovation management,improve,republic of moldova,sme instrument
Highly efficient, scalable chromatography platform for high-quality exosome isolation (Vezics)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Hungary
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-02-01
End date: 2019-05-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

There is enormous interest in using exosomes in the diagnosis and monitoring of cancer and other diseases, as well as their use as therapeutical tools. These cell-derived vesicles that are present in most bodily fluids are increasingly considered the “future of biomedicine”. However, in terms of clinical applications, we are far from realising exosomes’ full potential. The greatest barrier is the lack of dependable protocols for their isolation. Vivoscreen is developing a novel platform for exosome isolation based on size exclusion chromatography (SEC) and immune affinity chromatography (IAC). Capitalising on very promising research results, the Vezics platform intends to offer all the advantages of SEC and IAC, while eliminating its disadvantages with regards to exosome isolation. The Vezics platform utilizes SEC as a first stage for exosome isolation. SEC media are selected according to the properties of the input material. The resulting EV-rich fractions are further purified by (IAC) on columns built for specific scientific needs. As high quality, by-product free isolation of exosomes is a prerequisite for all exosome applications, we expect our development to have a considerable positive impact across the entire spectrum; from research through diagnostic to therapeutic use of exosomes. This is a high risk / high reward project targeting an emerging market segment with extremely high growth potential. This proposal aims a Phase 1 feasibility study to better understand the risks and opportunities involved in this exciting venture. Our proposal was previously submitted to the SME Instrument and received 12.97 points. We hope that in the current proposal we managed to clarify key aspects of our approach to be found worthy for support. Since our last submission, we continued with the development and have built the functional prototype of the Vezics system. Thus, parallel to the feasibility study we can start its experimental validation and refinement as well.

Keywords: exosome isolation,chromatography,diagnostics
SMART TOURISM CHALLENGES: THE EFFECTS OF DIGITAL REVOLUTION ON CONSUMER EXPERIENCE AND BUSINESS COMPETITIVENESS (SMARTOURISM)

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: Economic Sciences
Countries involved: Spain,United States
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-07-01
End date: 2022-06-30
Duration (months): 36.0
Total project cost (EUR): 257191.2
EU funding (EUR): 257191.2
Participants: 2
Project status: CLOSED

Due to advances in technology, tourism has the potential to rapidly transform by means of a digital revolution into smart tourism (tourism that takes advantage of intelligent systems). This transformation of tourism has created opportunities for new levels of service and interaction with the environment for organisations and consumers. The transformation of tourism has created opportunities in new levels of communication, interaction and service between tourism small and medium-sized enterprises (SMEs) and consumers. In addition, these changes in the tourism industry can have an impact on SMEs’ competitiveness. The goal of SMARTOURISM is to test two models that analyse the effects of smart tourism on different aspects of consumers and SMEs. This research proposes two different lines of research: (1) The creation of an innovative model to analyse the impact of Smart Consumer Experience (SCE) on different aspects of consumers (behavioural intentions, word-of-mouth, stickiness to business, quality of life, shopping effectiveness and perceived risk). This model will also examine the moderating effects of the gender dimension; (2) The creation of a model to analyse the impact of the use of smart technologies on different aspects of tourism SMEs (service cannibalisation, co-creation, value offering) and their impact on the competitiveness of SMEs. Both models will be analysed in the USA context (outgoing phase). SMARTOURISM in the return phase will analyse both models in the European scope and will examine the differences between the countries (USA vs EU) and the actions that tourism SMEs should apply to improve their services with the arrival of new technologies (return phase). This study is relevant due to it allows us to determine the effects of the digital revolution in the tourism industry and, to leverage Dr. Díaz broad experience developing the impact of innovation in tourism SMEs, employees and consumers and, providing an opportunity to increase the competitivenes

Keywords: marketing,tourism,value creation,consumer behaviour,quality of life
DIONE: an integrated EO-based toolbox for modernising CAP area-based compliance checks and assessing respective environmental impact (DIONE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Innovation actions
Countries involved: Cyprus,Greece,Lithuania,Serbia,Serbia,Greece,Slovenia,Greece
Call: Copernicus market uptake (H2020-SPACE-2019, 2019)
Start date: 2020-01-01
End date: 2022-10-31
Duration (months): 34.0
Total project cost (EUR): 2389982.14
EU funding (EUR): 1999837.5
Participants: 8
Project status: CLOSED

DIONE proposes a close-to-market (TRL7) area-based direct payments monitoring toolbox that will address the forthcoming Modernised CAP regulation of using automated technologies to ensure more frequent, accurate and inexpensive compliance checks. In particular, DIONE will: (i) Capitalise on recent results of ESA’s SEN4CAP project that showcased the capability of Sentinel data to monitor the crop diversification rules. DIONE shall further integrate generated crop-type maps in a way directly exploitable by the paying agencies; (ii) Include in the analysis the so far neglected EFA types (fallow land of all sizes, buffer strips, hedges, trees), by making use of super-resolution technology that improves the 10-20m Sentinel resolution to an improved resolution range (5-10m). This is enabled through Machine-Learning (ML) based post-processing and data fusion of Copernicus DIAS-sourced data with targeted drone-obtained data. This aims to motivate the use of such EFAs over the –of ambiguous environmental impact- use of productive areas (nitrogen-fixing crops and catch crops). (iii) Complement the use of EO data with a system of reliable, ground-based geo-tagged photos, captured by the farmers that exploits (a) advances that allow for improved positional accuracy, (ii) low-footprint encryption techniques for improved data security and reliability and (iii) image detecting manipulation techniques (image forensics). The system will allow for an improved LC/LU annotation and ensure the process is untampered. (iv) Implement a Green Compliance toolbox, integrated with the paying agencies’ aforementioned tools. This will benefit from (a) low-cost spectral sensors measuring soil quality and assessing the status of land-degradation in the land parcels and (b) an ML-based inferencing system deployed on a larger scale (regional, national) to quantify the levels of some of the monitored parameters and consequently extract tangible environmental performance metrics for an entire region

Keywords: common agricultural policy,earth observation,remote sensing,drones,geo tagged photos,environmental performance,farmers compliance
Next generation clinical decision-support & education (DemDX)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-11-01
End date: 2020-02-29
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Current medical teaching practice is still largely based on textbooks and lectures. Students struggle to get access to relevant clinical experience and teaching consistency. As a result, they are often underprepared for the challenges of real world clinical situations which requires them to assess interrelated symptoms and signs whilst simultaneously refining a list of differentials and moving to a diagnosis. DemDX combines powerful clinical reasoning software powered by machine-learning with a reporting dashboard allowing institutions to draw teaching insights from how students interact with the course material. DemDX support students in navigating correlated symptoms in order to reach at the correct diagnosis with greater certainty and in a shorter time. DemDX is also a powerful tool for continuous professional education and for clinical triage where nurses must evaluate the urgency of an appointment from a phone request. Our content is contributed by a global community of specialists (200 medical contributors from top institutions such as Guy's and St Thomas' NHS Foundation Trust, Imperial College London, Beth Israel Harvard Medical School) providing real-time updates. Our clinical reasoning software already includes 1,300 diagnostic paths over 13 medical specialties enabled by 100,000 algorithms. DemDX is currently accessible a free mobile application (iOS or Android) with basic functionalities and has been downloaded by 30,000 users since late 2016. We intend move to a freemium model once the full product is ready, where an annual fee of €70 will grant access to all content and functionalities. DemDX has already gathered interest from leading medical schools such as King's College London (UK), Federal University of Minas Gerais (Brazil) and the Ministry of Health is considering rolling it out to medical schools and community-based hospitals in Kenya.

Keywords: clinical decision support,medical training,medical education,continuous professional education
A new brain-dedicated Positron Emission Tomography (PET) system to identify β-amyloid biomarker for the early diagnosis of Alzheimer’s disease and other causes of cognitive decline (CAREMIBRAIN)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Spain
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-2-2015, 2015)
Start date: 2016-06-01
End date: 2021-08-31
Duration (months): 63.0
Total project cost (EUR): 4393596.25
EU funding (EUR): 4393596.25
Participants: 1
Project status: CLOSED

ONCOVISION is a Spanish SME specialised in design, development, production and commercialisation of organ-dedicated PET systems. Our company submits the present business innovation project with the overall objectives of (1) marketing an innovative brain-dedicated PET system to early diagnosis of Alzheimer’s disease (AD) and other causes of cognitive decline based on the detection of amyloid-β biomarker in the brain using three 18F-labelled tracers recently approved by FDA and EMEA (Florbetapir, Florbetaben, and Flutemetamol) for their clinical use, and (2) validating the clinical performance of this new diagnostic medical device. This new brain-dedicated PET system, targeted to Mental Disorder Units and Nuclear Medicine Units of hospitals in Europe, USA and Japan, is unique in the market and offers several advantages compared to the whole-body PET systems, such as higher resolution, three times higher sensibility, a competitive price (up to three times lower), need of smaller hospital facilities, and lower radiotracer dose to the patient that leads to a lesser cost to the healthcare system. Due to these improved characteristics, the new brain-dedicated PET system will allow an early detection of AD and other causes of cognitive decline and to use this business opportunity to ensure profitability and growth of ONCOVISION. A Phase 1 project was previously funded and implemented (Call: H2020-SMEINST-1-2014; Cut-off date: 18th June, 2014; Topic: PHC-12-2014/2015 Clinical research for the validation of biomarkers and/or diagnostic medical devices; Proposal number: 651145). The feasibility study prepared in Phase 1 has verified the technological as well as economic viability of the product and its clinical validation. During Phase 2 the validation of clinical performance of the product will be carried out, to enable commercialisation in Phase 3.

Keywords: positron emission tomography,alzheimer s disease,brain,molecular imaging,biomarker,radiotracer,amyloid,diagnosis
Self-management interventions and mutual assistance community services, helping patients with dementia and caregivers connect with others for evaluation, support and inspiration to improve the care experience (CAREGIVERSPRO-MMD)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Health care provision and integrated care
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Greece,France,United Kingdom
Call: Advanced ICT systems and services for integrated care (H2020-PHC-2015-single-stage, 2015)
Start date: 2016-01-01
End date: 2019-04-30
Duration (months): 40.0
Total project cost (EUR): 4087198.75
EU funding (EUR): 4087198.75
Participants: 8
Project status: CLOSED

According to the World Health Organisation (WHO, ADI), 44 million people around the world have some form of dementia, for which there is no effective intervention, to halt or reverse the progressive cognitive impairment. As Europe’s population is ageing, long-term care for elderly citizens will become an increasing cost for society. To manage this transition healthcare policies in the EU and individual Member States are heavily focussed on extending the independent life of the elderly, with the dual aim of increasing their quality of life and reducing the costs of care. In this project, we will build a mHealth application that is specifically targeted to caregivers and patients with mild to moderate dementia. The result is CAREGIVERSPRO-MMD: a tool integrating a broader diagnostic approach, incorporating the live-in family caregiver-patient dyad and considering this dyad as the unit of care. CAREGIVERSPRO-MMD will provide value-added services based on social networks, tailored interventions, clinical strategies and gamification for improving quality of life for dementia’s patients and caregivers that allow them to live in the community for as long as possible. The project will comprise three phases: first, we will develop new services for patients with mild to moderate dementia and their respective caregivers to an existing application. In the second phase, we will conduct a user-centric analysis to re-design the existing application for patients with mild to moderate dementia. The development will be steered by patients, carers and doctors, through user-centric design: we will collect feedback on each new version of the application until the design is adapted to the users’ needs. In the third phase, we will pilot the optimised application with 550 dyads (patients and their respective caregivers) and 550 controls. This will show the clinical and social benefits for patients and caregivers, as well as financial benefits for the healthcare system.

Keywords: dementia,social network,caregivers,support