Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
End-to-End Remote Site Monitoring and Clinical Trial Management Solution (Citrus)

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: 2018-12-01
End date: 2019-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Clinical trial costs have been constantly on the rise in the last years the total cost of a single big trial can reach €600 million. The increasing costs have significant implications for public health, as it affects pharmaceutical and biotech companies’ willingness to undertake clinical trials, which in turn limits patient access to novel treatments. To monitor clinical trials, it is a common practice to conduct site visits frequently and to verify source data during these visits. On-Site monitoring accounts for up to 14% of overall clinical study costs. These costs can be reduced by making wider use of mobile technologies, centrally available data to evaluate site performance, electronic data capture, and other efficiency-improving options. Existing systems on the market do not offer solutions to the problem. There are systems for clinical trial financial management; systems for electronic data capture; systems that provide access to electronic health records (EHR) and lab results (e-source) or access to mobile health devices. All these separate systems do not necessarily talk to each other, staff at clinical research sites report usage of three different systems to enter patient/study data. Citrus - Clinical Trial Management & Remote Monitoring is the first revolutionary solution to offer remote monitoring capabilities. It is an end-to-end solution which includes CTMS, direct access to lab results and EHR, access to mHealth devices and it ensures data privacy compliance when data is accessed remotely. Founded in 2008, CRU Hungary leads the clinical research services in Center-East Europe. Their 4 clinical research sites are preferred companies such as Pfizer, AstraZeneca and GSK. Our IT department have been developing solutions that answer to real pains in the clinical trial process and whose purchase is currently negotiated with T-Mobile and leading university hospitals in Hungary. We expect a 5-year ROI of 9.49.

Keywords: clinical trial management automatization,remote monitoring system,end to end solution,cost savings,on site monitoring avoidance
AI-driven mosquito surveillance and control through on-demand manufacturing and release of sterile male mosquitoes (RoboSIT)

Framework: Horizon 2020 — Societal Challenges
Action type: SME instrument
Countries involved: Israel
Call: H2020-EIC Accelerator pilot –SME Instrument - Green Deal (H2020-EIC-SMEInst-2018-2020-4, 2020)
Start date: 2020-12-01
End date: 2023-05-31
Duration (months): 30.0
Total project cost (EUR): 2002125.0
EU funding (EUR): 1401487.0
Participants: 1
Project status: SIGNED

Mosquitoes infect millions of people annually with disease such as malaria, dengue, zika and chikungunya. Meticulous mosquito surveillance is critical for controlling outbreaks, but today’s approaches are highly ineffective. Experts need to manually identify and pool hundreds of insects and send them for pathogen analysis. We have developed an AI-driven robot to do this task. Vector control is commonly done using insecticides. 4,500 tonnes of DDT are still used every year to fight malaria due to the large unmet need in endemic areas. The insecticide-approach is unsustainable due to resistance, environmental contamination and severe impact on human health. Our approach to vector control is to industrialize the most environment-friendly pest control method ever developed: the Sterile Insect Technique (SIT). SIT builds on the principle of releasing sterile insects in vast numbers, which mate with wild females, but do not give rise to offspring. Despite the great success that has been demonstrated using SIT in pilot studies, the technique is not scalable as sex-sorting of millions of insects is done manually. Consequently, the global impact of manual SIT is negligible. Our RoboSIT solution will encompass mass-rearing factories and sex-sorting using AI-driven robots. Pathogen detection will trigger the release of millions of sterile males in designated areas. Optimizing reaction times of outbreaks can save societies millions of € in healthcare cost. Bringing RoboSIT to market will incentivize the set-up of automated SIT facilities and reduce usage of insecticides. We expect to launch RoboSIT in the EU and US in 2023 and generate revenues toward €49m 2 years later. We will expand to over 100 people in 5 years. Each new RoboSIT facility will generate 15 indirect jobs. Mosquito vector control is a stepping-stone for scaling into other vectors and pest. The potential of reducing pesticides in agriculture is huge; each year 2.5m tonnes of pesticides are used around the globe

Keywords: mosquito surveillance,mosquito rearing,the sterile insect technique,robotics,aerial release systems,ai driven species identification
Minimal Invasive Light Automatic Natural Orifice Robotic Platform (MILANO ROBOT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Italy
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

In the world of surgical medicine there is a major trend towards minimizing the number and size of skin incisions necessary to execute surgeries. This is very appealing from patients’ perspective, reducing or completely eliminating abdominal wall aggression and reducing post-operative pain. Less invasive surgery is also a major component of shorter hospital stays and quicker return to day-to-day activities by the patient. This benefits the patient, the healthcare system and the social-economic environment in general. Single Incision Laparoscopic Surgery (SILS) is seen as the new frontier of this ongoing trend. In a SILS procedure the surgeon operates exclusively through a single incision in the patient’s navel, leaving just one barely-visible scar. However, SILS is very challenging for surgeons, because of the major constraints imposed by both the mode of access and the limited technology currently available. Valuebiotech (VBT) is an SME, spun off from Niguarda Hospital and AIMS Academy (Milano, Italy) and intends to address this problem through highly advanced robotics technology. This technology is designed to take the robot into the abdomen, and provide (intra-abdominal) the various tools necessary to perform a surgical procedure. The MILANO robot can be inserted via a single incision or natural orifice, and then, once inside the cavity, the robot positions itself to perform surgery.

Keywords: robotics,medical,automatic,minimally invasive
Single-molecule imaging with SPAD array detection (SM-SPAD)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-03-01
End date: 2023-02-28
Duration (months): 24.0
Total project cost (EUR): 171473.28
EU funding (EUR): 171473.28
Participants: 1
Project status: CLOSED

The resolution limit of about 250 nm in conventional optical microscopes is problematic in the study of structural biology, since proteins, macromolecules and nuclear acids are typically much smaller than 100 nm. Single-molecule localization microscopy is able to circumvent this limit by sequentially and stochastically switching on/activating single fluorescent molecules and determining their position in the image plane. E.g. MINFLUX demonstrated a 3D resolution of 6 nm. However, the point-detection system in MINFLUX does not allow directly recording the image of the fluorescent molecules in the image plane, which is required for the localization, thus a rather complex and slow beam-scanning approach is required. Secondly, the technique does not leverage the fluorescence lifetime information, which can provide nanometer-scale information on the structure of interest, e.g. via Förster resonance energy transfer. In this project, both limitations will be tackled: The main goal of the SM-SPAD project is to develop a 3D single-molecule fluorescence lifetime imaging technique for structural biology. The goal will be reached by combining the concept of MINFLUX with three new ideas: (i) 3D motionless structured illumination and structured detection for improved spatial resolution in all three dimensions; (ii) fluorescence antibunching analysis to speed up the data acquisition by enabling simultaneous localization of several active molecules; (iii) SM level fluorescence lifetime analysis to extract the maximum amount of information from the sample. The proposed molecular-scale imaging technique, with very high spatial and temporal resolution, is perfectly suited for the study of complex biological samples. SM-SPAD is, in particular, promising in the field of neuroscience research, in which the organization of large protein complexes are of high interest, as they may play a crucial role in the development of neurodegenerative diseases, such as Alzheimer’s and Parkinson’s .

Keywords: super resolution microscopy,single molecule imaging,structural biology,spad array detection
Nano-diamond tracers for MRI molecular imaging (NDI)

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: Germany
Call: ERC Proof of Concept Grant (ERC-2014-PoC, 2014)
Start date: 2014-12-01
End date: 2016-05-31
Duration (months): 18.0
Total project cost (EUR): 147500.0
EU funding (EUR): 147500.0
Participants: 1
Project status: CLOSED

Molecular imaging is the current standard of care for the diagnosis (staging) of cancer, the evaluation of cancer treatment effectiveness, and is generating evidence as the best predictor for earlier diagnosis of Alzheimer’s disease. Molecular imaging differs from traditional imaging in that probes known as biomarkers are used to help image particular pathways. The goal is to image injected bio-active molecules (biomarkers) in vivo, allowing targeted imaging of the processes these molecules participate in. Currently, the most common clinical modality for molecular imaging is Positron Emission Tomography (PET), a nuclear imaging method with high costs that exposes patients to potentially harmful radiation. It is currently impossible to perform molecular imaging with magnetic resonance imaging (MRI) scanners due to low molecular sensitivity. Our primary goal is the development and commercialization of a novel technology for molecular imaging using existing MRI scanners, which could dramatically improve the early diagnosis of cancer and Alzheimer's disease, and serve as a platform for future medical research. We will develop a new "tracer" agent for MRI, using nano-diamonds. Using a novel polarization scheme, as well as 13C enriched diamonds, we increase the nano-diamond MRI signal more than a 10,000,000-fold at room temperature. This will provide a solution for molecular imaging which is cheaper, does not expose patients to ionized radiation, and allows earlier diagnosis of cancer metastasis due to the superior spatial resolution of MRI. The proposed project aims to bring this idea to the proof-of-concept level by demonstrating the imaging of cancerous tumors in a biological model, using an industrial MRI scanner and nano-diamond tracers. In parallel, we will also develop our future regulatory strategy, explore the market potential and secure potential customers. Ultimately, we intend to launch a company to bring this product to market.

Keywords: cancer diagnostic,alzheimer s disease diagnostic,molecular imaging,nano diamond applications,quantum medical applications,hyperpolarization,quantum spin control
Silicon nanowire fabrics for high energy density batteries (SiNERGY)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Spain
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2020-10-01
End date: 2022-03-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Meeting European energy storage in transport, stationary and emerging sectors requires annual cell capacity of at least 200 GWh in the next 5 years, calling for urgent development of new materials for LIBs that increase energy/power density at lower costs. Silicon, an abundant material with 10-fold higher capacity than graphite, has shown promise as anode material when appropriately nanostructured. The challenge is in producing nanostructured Si networks using simple and scalable processes leading to thick electrodes that are ultimately economically feasible. SiNERGY addresses this challenge by proposing a new simple method for continuous production of nanoengineered self-supported electrodes for high energy density and durable LIBs, with potential performance nearly an order of magnitude above commercial anodes.

Keywords: silicon,nanowire,fabric,synthesis,anode,battery,energy,electrode
Topological Quantum Gas Microsope (TOQUAM)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-07-01
End date: 2022-06-30
Duration (months): 24.0
Total project cost (EUR): 162806.4
EU funding (EUR): 162806.4
Participants: 1
Project status: CLOSED

In this project I will study the properties of interacting topological insulators using ultracold atoms in optical lattices. To this aim, I will build the first bosonic quantum gas microscope that allows single site resolution in combination with excellent control of atomic interactions. This project will be able to detect and manipulate in-situ a wide number of topological Hamiltonians from the weakly to the strongly interacting regime. The first part of the project involves a construction stage. After characterization of the experimental setup, in a first series of experiments I will study the interacting 2D Su-Schrieffer-Heeger (SSH) model where higher-order symmetry-protected topological phases are expected. In this model, the control of interactions is crucial to observe interaction-induced topological phase transitions. In a second series of experiments, I will implement a new technique based on Raman-induced tunneling in state dependent potentials to create artificial gauge fields. This scheme will provide full control of the hopping matrix elements and will avoid the typical heating associated to driven-many-body systems in cold atoms experiments. The spatial resolution provided by the quantum gas microscope, the acquired knowledge provided by the interacting SSH model and the implementation of this new driving-scheme will open the possibility to study and prepare adiabatically for the first time a strongly-correlated topological phase.

Keywords: artificial gauge fields,optical lattices,quantum gases,topology,topological insulators,fractional quantum hall effect,strongly interacting systems,phase transitions,chern insulators
Droplet Photoelectron Imaging (eDrop)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Switzerland
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-11-01
End date: 2025-10-31
Duration (months): 84.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Angle-resolved photoelectron spectroscopy of aerosol droplets (“droplet photoelectron imaging”) is a novel approach to study fundamental aspects of the electron dynamics in liquids and across interfaces. Our recent proof-of-principle studies demonstrate that droplet photoelectron imaging not only complements, but also significantly extends the range of accessible information over established methods. Two aspects are unique to droplets: Firstly, the droplet size can be varied over a wide range from submicrons to microns. While large droplets provide overlap with liquid microjet and bulk studies, small droplets offer additional control by acting as efficient optical resonators. These optical cavity effects can be exploited to control where in the droplet the photoelectrons are generated; e.g. surface versus volume. Secondly, comprehensive information about photoelectron kinetic energy and angular distributions can be obtained fast and in a straightforward way by velocity map imaging. Building on our proof-of-principle studies, we propose to exploit the versatility of the droplet approach to address fundamental questions regarding electron dynamics in liquids and across interfaces: Can this new tool provide the missing data for low-energy electron scattering in water and other liquids and resolve the issue of the “universal curve”? How do slow electrons scatter across liquid-gas and buried liquid-liquid/solid interfaces and how does this depend on the composition and curvature of the interface? How is the ultrafast relaxation dynamics of electrons following above-band-gap excitation influenced by electron scattering and confinement effects? Low-energy electron scattering is a determining factor in radiation chemistry and biology and a central aspect of the solvated electron dynamics, while interfacial processes play a key role in atmospheric aerosols. Droplet photoelectron imaging opens up new ways to study such phenomena.

Keywords: photoelectron spectroscopy,femtosecond laser spectroscopy,velocity map imaging,electron scattering,electron mean free path,ultrafast electron dynamics,solvated electron,aerosol,interface
The dynamics underlying Well-being; Understanding the Exposome-Genome interplay (WELL-BEING)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Netherlands
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-06-01
End date: 2024-09-30
Duration (months): 76.0
Total project cost (EUR): 1999722.0
EU funding (EUR): 1999722.0
Participants: 1
Project status: SIGNED

In light of major demographic trends, building and maintaining health and well-being amongst citizens is one of the most important societal challenges European countries face. People who feel well, function better, are less susceptible to mental illness, and thus are better able to retain competitive advantage and expand human capital. People who feel well also facilitate social capital by enjoying stronger and more-lasting relationships. Consequently, maintaining, facilitating, and building well-being (WB) would not only improve individual (health) outcomes, but also reduce economic and health care burdens. To sustainably facilitate and build WB, thorough understanding of its underlying dynamics, especially the interplay between an individual’s genetic makeup, epigenetic make-up, and (social) environmental exposure, is crucial. In this project, I will cross disciplinary boundaries to initiate the urgently needed integration of multiple layers of influence in the study of WB. The key objectives are to (1) identify, quantify, and integrate static and dynamic environmental and social exposures to build the well-being exposome, (2) understand the multi-layer interplay of the genome, the epigenome, and the exposome, and (3) integrate the empirical findings into a novel comprehensive framework of WB. I will employ an interdisciplinary approach, using association, real-life, and network methodology to assess the dynamics underling WB. To apply these state-of-the-art techniques, I will bring together longitudinal twin-family data, molecular genetic data, and big data from satellite positioning (GPS), bluetooth beacons, geographical information systems (GIS), ambulatory assessment, and social network linkage. This project will mark a shift in scientific approach and enables the development of interdisciplinary academic theories and health, social, and economic policies to maintain, facilitate, and build WB to withstand our demanding and rapidly changing world.

Keywords: well being,environmental and social exposure,genome,epigenome,exposome,multi layer interplay,methylation,database linkage