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| Titel Sort descending | Periode | Program | |
|---|---|---|---|
| Smart Point of Care Complete Blood Analyzer for Reducing Time-to-Diagnosis SmartPoC | 2019 - 2021 | Grand Solutions
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Smart Point of Care Complete Blood Analyzer for Reducing Time-to-Diagnosis SmartPoC
Period
2019 - 2021
Region
Region Hovedstaden Program
Grand Solutions Area
Produktion, Materialer, Digitalisering og IKT Investment
Percentage
40.26 Invested
11.3 mill. Budget
28.1 mill. Partners
Radiometer Medical, Technical University of Denmark, Nordsjællands Hospital, Regionh Hovedstaden People
RADIOMETER MEDICAL ApS
Read more about the project
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| Smart Tip | 2017 - 2020 | Grand Solutions
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Smart Tip
Period
2017 - 2020
Region
Region Hovedstaden Program
Grand Solutions Area
Energi, Klima og Miljø Investment
Percentage
74.62 Invested
10.8 mill. Budget
14.5 mill. Partners
Technical University of Denmark, Siemens Gamesa Renewable Energy People
Danmarks Tekniske Universitet
Read more about the project
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| Smart vandhåndtering i byer | 2016 - 2020 | Grand Solutions
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Smart vandhåndtering i byer
Period
2016 - 2020
Region
Region Hovedstaden Program
Grand Solutions Area
Energi, Klima og Miljø Investment
Percentage
42.97 Invested
12.1 mill. Budget
28.3 mill. Partners
Technical University of Denmark, Technical University of Denmark, Danish Meteorological Institute, DHI, Krüger A/S, Rambøll Denmark A/S, HOFOR A/S, Århus Vand A/S, VandCenter Syd A/S, Biofos A/S, DHI A/S People
Danmarks Tekniske Universitet
Read more about the project
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| Smart Water Networks | 2018 - 2021 | Grand Solutions
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Smart Water Networks
Period
2018 - 2021
Region
Region Hovedstaden Program
Grand Solutions Area
Energi, Klima og Miljø Investment
Percentage
42.66 Invested
8.9 mill. Budget
20.9 mill. Partners
DHI, Alexandra, Envidan, Kamstrup A/S, Aarhus Vand A/S, Skanderborg Forsyningsvirksomhed A/S, DHI A/S People
DHI A/S
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| Smart3D Advanced micro- and nano fabrication of functional materials for internet of things devices based on 3D plasma processing | 2023 - 2026 | Grand Solutions
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Smart3D Advanced micro- and nano fabrication of functional materials for internet of things devices based on 3D plasma processing
Period
2023 - 2026
Region
Program
Grand Solutions Area
Ikke defineret Investment
Percentage
73.21 Invested
9.4 mill. Budget
12.8 mill. Nowadays best smartphone processors are putting to work over 10 billion transistors for users able to stream data and interact on various media platforms at unprecedented speeds. While nanofabrication technologies below 5 nm are facing critical challenges, the horizontal propagation of semiconductor devices in our daily life (smart homes, bio-medical sensors, transportation and communication, generically quoted as Internet of Things) is predicted to significantly increase in the near future and consequently open a vast business potential. A high diversity of low cost sensors and devices are to be designed and fabricated using micro- and nanotechnologies that need to be adapted to this new context. The aim of this project is to use state-of-the-art concepts on 3D plasma-aided nanofabrication as to design novel equipment and establish the needed processing steps for thin film deposition, etching and implantation on substrates/wafers above 200 mm in diameter, with special focus on metal oxide and nitride semiconductors. The project involves DTU Nanolab at Technical University of Denmark, Poyteknik A/S, a Danish industrial partner producing nanofabrication equipment, and PragmatIC, an UK company already active on low-cost semiconductor device fabrication.
Partners
Technical University of Denmark, Polyteknik A/S, PragmatIC Semiconductor Ltd People
Read more about the project
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| SmartCoating - Robust, transparent og lav emissivitet belægning til storeglasoverflader baseret på aluminium doteret zinkoxid | 2018 - 2020 | Grand Solutions
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SmartCoating - Robust, transparent og lav emissivitet belægning til storeglasoverflader baseret på aluminium doteret zinkoxid
Period
2018 - 2020
Region
Region Hovedstaden Program
Grand Solutions Area
Produktion, Materialer, Digitalisering og IKT Investment
Percentage
73.18 Invested
7.2 mill. Budget
9.8 mill. Partners
DTU Energy, Polyteknik A/S, Velux A/S People
Danmarks Tekniske Universitet
Read more about the project
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| SMOOTH: Servicering af ældre Mennesker med interagerende rObOtter Til Hjælp i fremtidens ældrevelfærd | 2018 - 2021 | Grand Solutions
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SMOOTH: Servicering af ældre Mennesker med interagerende rObOtter Til Hjælp i fremtidens ældrevelfærd
Period
2018 - 2021
Region
Region Syddanmark Program
Grand Solutions Area
Handel, Service og Samfund Investment
Percentage
59.36 Invested
10.7 mill. Budget
18.0 mill. Partners
University of Southern Denmark, University of Southern Denmark, Robotize, Danish Technological Institute (DTI), University og Hamburg, Fraunhofer, Køge Municipality, Dictus ApS People
Syddansk Universitet (University of Southern Denmark)
Read more about the project
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| Socially Innovative White Collar work | 2017 - 2020 | Grand Solutions
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Socially Innovative White Collar work
Period
2017 - 2020
Region
Region Sjælland Program
Grand Solutions Area
Handel, Service og Samfund Investment
Percentage
61.41 Invested
5.9 mill. Budget
9.7 mill. Partners
Roskilde University, PROSA - Danish Association of IT Professionals, Koorperationen, Actee APS, Teknologisk Institut, Reloade A/S People
Roskilde Universitet
Read more about the project
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| Soft Matter Analysis enabling food induSTRy 4.0 | 2017 - 2020 | Grand Solutions
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Soft Matter Analysis enabling food induSTRy 4.0
Period
2017 - 2020
Region
Region Hovedstaden Program
Grand Solutions Area
Bioressourcer, Fødevarer og Livsstil Investment
Percentage
65.2 Invested
6.2 mill. Budget
9.5 mill. Partners
Danish Technological Institute, Kelsen Group A/S, Orkla Foods Denmark A/S, University of Copenhagen, Lantmännen Unibake Denmark A/S People
Teknologisk Institut
Read more about the project
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| SoilTracker - Kriminalteknisk værktøj til undersøgelse af jord | 2018 - 2021 | Grand Solutions
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SoilTracker - Kriminalteknisk værktøj til undersøgelse af jord
Period
2018 - 2021
Region
Region Hovedstaden Program
Grand Solutions Area
Produktion, Materialer, Digitalisering og IKT Investment
Percentage
68.58 Invested
12.9 mill. Budget
18.8 mill. Partners
University of Copenhagen, University of Copenhagen, National Police, Qiagen, University of Aarhus, University of Copenhagen People
Københavns Universitet
Read more about the project
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| SORTS Saliva-based sOlution foR Tb diagnosis (SORTS) | 2024 - 2028 | Grand Solutions
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SORTS Saliva-based sOlution foR Tb diagnosis (SORTS)
Period
2024 - 2028
Region
Program
Grand Solutions Area
Ikke defineret Investment
Percentage
69.71 Invested
24.4 mill. Budget
35.1 mill. Tuberculosis (TB) is diagnosed in ~10 million humans per year and the numbers are increasing. This poses a risk also to low incidence areas as Denmark.
Current TB diagnostic tests require sputum samples which are difficult to produce for some. Also, sputum is unsuited for point-of-care (POC) testing important to enable treatment for all, and for controlling spreading TB with e.g. migration. In Low- and Middle-Income Countries (LMICs), primary diagnosis of TB is often done by sputum smear tests that have low sensitivity, or automated PCR, which also shows suboptimal sensitivity in many countries and is costly. Thus, WHO calls for cheaper and simpler tests using non-invasive specimens
Therefore, SORTS develops a primary-diagnosis lateral flow test (“TB-SALF”) with improved sensitivity compared to smears, and (relative to PCR) a simpler, cheaper, and more sensitive confirmatory test (“TB-SAQT”). Both tests are based on easily obtained saliva specimen.
TB-SALF and TB-SAQT comprise advancements of a research-laboratory TB test concept (“TB-SAXX”) that recently showed promise in a field trial in Guinea-Bissau. TB-SAXX exploits the activity of a TB-specific intracellular enzyme as biomarker, which entails major benefits in sensitivity and simplicity.
The R&D to reach TB-SALF and TB-SAQT includes both experimental and industrial research in e.g., saliva as test matrix, experimental TB-infections, molecular biology on nucleotides, sample preparation, and lateral flow design
Partners
Aarhus University, Aarhus University, Bandim Health Project, VPCIR Biosciences Aps People
Read more about the project
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| SOS Intelligent sow surveillance for sow and piglet survival (SOS) | 2023 - 2026 | Grand Solutions
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SOS Intelligent sow surveillance for sow and piglet survival (SOS)
Period
2023 - 2026
Region
Program
Grand Solutions Area
Ikke defineret Investment
Percentage
67.7 Invested
6.7 mill. Budget
9.9 mill. A high survival rate of both sows and piglets is crucial for a sustainable production of pigs. High mortality challenges the farmers’ economy, constitutes an animal welfare problem, and contributes to an increased environmental load from the production.
SOS will develop and validate a solution for monitoring gestating sows on farm to ensure timely intervention in case of sow morbidity, so that sow welfare is increased, fewer sows die on farm, and piglet survival increases via improved sow health. The solution will be based on ear tags with accelerometers, temperature sensors, and means for localization. The project objectives are: To design a system with low cost of ownership and an attractive business case for both end-users and affiliated technology provider. To install the system in test and production stables to compile reference data. To develop algorithms for detection of symptoms of sow ailments and predicting poor sow health and heat stress. To develop an appropriate user interface. To test and validate the system at production sites representing the current common types of loose house sow gestation stables. The SOS system will transform piglet production and will be commercialized by BIOCV shortly after the project has ended. SOS will strengthen the Danish and global pig industry and enable a more sustainable production.
Partners
Teknologisk Institut, Aarhus University, BioCV Denmark ApS People
Read more about the project
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| SPRING Andengenerations funktionelle proteiningredienser udviklet med skånsomme produktionsmetoder | 2016 - 2020 | Grand Solutions
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SPRING Andengenerations funktionelle proteiningredienser udviklet med skånsomme produktionsmetoder
Period
2016 - 2020
Region
Region Hovedstaden Program
Grand Solutions Area
Bioressourcer, Fødevarer og Livsstil Investment
Percentage
63.67 Invested
9.8 mill. Budget
15.4 mill. Partners
University of Copenhagen, University of Copenhagen, Arla Foods Ingredients, Novozymes A/S, University of Southern Denmark People
Københavns Universitet
Read more about the project
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| StarQuality Platform for Innovative New Green Gearing for Danish Plant Breeding Industry | 2020 - 2025 | Grand Solutions
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StarQuality Platform for Innovative New Green Gearing for Danish Plant Breeding Industry
Period
2020 - 2025
Region
Region Midtjylland Program
Grand Solutions Area
Bioressourcer, Fødevarer og Livsstil Investment
Percentage
65.36 Invested
12.1 mill. Budget
18.4 mill. Partners
Aarhus University, Aarhus University, Graff Breeding A/S, PKM Innovation ApS People
GRAFF BREEDING A/S
Read more about the project
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| StemScreen Center for Stem Cell-based Disease Modelling and Drug Screening | 2023 - 2027 | Grand Solutions
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StemScreen Center for Stem Cell-based Disease Modelling and Drug Screening
Period
2023 - 2027
Region
Program
Grand Solutions Area
Ikke defineret Investment
Percentage
64.81 Invested
24.5 mill. Budget
37.8 mill. Classical drug development is based on proof-of-concept studies using immortalized cell lines and animal models. The use of these non-predictive models has led to high attrition in Phase 1 human clinical trials due to poor clinical safety, toxicity and inappropriate pharmacokinetics.
Based on recent discoveries, human stem cell lines can now essentially be instructed to form any tissue type recapitulating 3D architecture and physiology. These predictive 3D models will be a game changer in drug development and significantly reduce the cost of on average USD 1.3 billion for bringing a drug to market. The technical challenges around 3D image-based screens have until now limited their implementation into drug discovery pipelines. Developments in high-content microscopy and image-based analysis are breaking down these barriers.
In StemScreen we will establish the first Danish academic-industrial partnership around stem cell-based disease modeling and drug screening with strong international links. Our objective is to establish a network of experts and the infrastructure required to perform high-content phenotypic analyses of stem cell-based 3D models supporting drug discovery and commercialization. Specifically, we will within StemScreen identify lead compounds for at least 7 clinical conditions and advance the methods for stem cell-based 3D models. Collectively, this will push specialist training and bioinnovation in Denmark.
Partners
University of Copenhagen, Bioneer A/S, Synklino A/S People
Read more about the project
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