Newsletter
Sign up for the Fund's newsletter and get the lastest news, calls and events
| Titel Sort descending | Periode | Program | |
|---|---|---|---|
| Using AI for Surfactant Development | 2025 - 2028 | Industrial Researcher
|
|
|
Using AI for Surfactant Development
Period
2025 - 2028
Region
Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
48.95 Invested
1.1 mill. Budget
2.2 mill. Shampoo, vaskemidler og lignende forbrugsvarer skal gøres mere bæredygtige i endnu højere fart. Fælles for dem er, at de indeholder tensider, der hjælper med at give produkterne deres særlige egenskaber. Tensider er i dag primært baseret på palmeolie og fossil kemi, men hos NorFalk udvikler vi nye tensider ud fra mere bæredygtige kilder. Udvikling af nye tensider er i dag meget tidskrævende, så derfor vil vi undersøge kunstig intelligens som en hjælp til at sætte turbo på udviklingsprocessen.
Partners
Aarhus University, NorFalk ApS People
Aarhus University
Read more about the project
| |||
| Using Ammonium Bicarbonate in catalytic glycolysis of PET-depolymerization to efficiently and sustainably recover and recycle cellulose and PET | 2024 - 2024 | Innoexplorer
|
|
|
Using Ammonium Bicarbonate in catalytic glycolysis of PET-depolymerization to efficiently and sustainably recover and recycle cellulose and PET
Period
2024 - 2024
Region
Program
Innoexplorer Area
Ikke defineret Investment
Percentage
100 Invested
1.5 mill. Budget
1.5 mill. Partners
KU - NAT - KI - Kbh Ø People
Read more about the project
| |||
| Using machine learning to identify communal worldwide hand gestures for virtual and hybrid meetings context | 2023 - 2026 | Industrial Researcher
|
|
|
Using machine learning to identify communal worldwide hand gestures for virtual and hybrid meetings context
Period
2023 - 2026
Region
Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
53.71 Invested
1.1 mill. Budget
2.0 mill. Dette projekt har til formål at forbedre forståelse og inklusivitet ved kommunikation og interaktion mellem tværkulturelle brugere i virtuelle og hybride møder ved at støtte dem gennem et håndgestus-ordforråd. Vores hypotese er, at det er muligt at bruge maskinlæring til at identificere et ordforråd af fælles håndbevægelser på tværs af verdensbefolkningen, som kan fremme global standardisering for nye samarbejdsværktøjer og -systemer.
Partners
IT University of Copenhagen, GN AUDIO A/S People
Read more about the project
| |||
| Using O-demethylation enzymes to make optimal intermediates for manufacturing of pain and addiction APIs | 2022 - 2025 | Industrial Researcher
|
|
|
Using O-demethylation enzymes to make optimal intermediates for manufacturing of pain and addiction APIs
Period
2022 - 2025
Region
Region Hovedstaden Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
44.61 Invested
1.1 mill. Budget
2.4 mill. Partners
University of Copenhagen, River Stone Biotech ApS People
River Stone Biotech ApS
Read more about the project
| |||
| Using population PKPD modelling to predict clinical profiles from animal models of haemophilia | 2015 - 2018 | Industrial Researcher
|
|
|
Using population PKPD modelling to predict clinical profiles from animal models of haemophilia
Period
2015 - 2018
Region
Region Hovedstaden Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
76.46 Invested
1.1 mill. Budget
1.4 mill. Partners
University of Copenhagen, NOVO NORDISK A/S People
NOVO NORDISK A/S
Read more about the project
| |||
| Using Sociology (Structuration Theory) to Analyze and Resolve IT Project Problems | 2015 - 2018 | Industrial Researcher
|
|
|
Using Sociology (Structuration Theory) to Analyze and Resolve IT Project Problems
Period
2015 - 2018
Region
Region Hovedstaden Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
24.92 Invested
297.325 Budget
1.2 mill. Partners
Roskilde University, ITOMENTORS People
ITOMENTORS
Read more about the project
| |||
| Using transformer based artifical intelligence models for prediction of postoperative complications | 2024 - 2026 | Industrial Researcher
|
|
|
Using transformer based artifical intelligence models for prediction of postoperative complications
Period
2024 - 2026
Region
Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
40.47 Invested
828.000 Budget
2.0 mill. Projektets mål er at tilpasse de nyeste transformer-baserede neurale netværk til at virke på kompleks sundhedsdata, med målet om at forudsige komplikationer efter operationer. Disse modeller har haft kæmpe succes i analyse af fri tekst, men der er stadig udfordringer ift. mere kompleks data, såsom numeriske målinger (fx blodprøver). Modeller, der kan udnytte den fulde dybde i kompleks data til at lave forudsigelser har et kæmpe potentiale.
Partners
University of Copenhagen, Aiomic ApS People
Read more about the project
| |||
| Utiliread | 2015 - 2017 | Innobooster
|
|
|
Utiliread
Period
2015 - 2017
Region
Region Nordjylland Program
Innobooster Area
Ikke defineret Investment
Percentage
42.8 Invested
434.400 Budget
1.0 mill. Partners
UTILIREAD ApS People
Dansk Fjernaflæsning ApS
Read more about the project
| |||
| Utilization of Mass Customization in the Food Industry | 2017 - 2019 | Industrial Researcher
|
|
|
Utilization of Mass Customization in the Food Industry
Period
2017 - 2019
Region
Region Midtjylland Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
38.49 Invested
819.790 Budget
2.1 mill. Partners
Aalborg University, LANTMÄNNEN UNIBAKE DENMARK A/S People
LANTMÄNNEN UNIBAKE DENMARK A/S
Read more about the project
| |||
| Utilizing Endogenous Retroviruses (ERVs) as a Therapeutic Target for Immune Therapy in Cancers | 2025 - 2028 | Industrial Researcher
|
|
|
Utilizing Endogenous Retroviruses (ERVs) as a Therapeutic Target for Immune Therapy in Cancers
Period
2025 - 2028
Region
Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
43.12 Invested
1.1 mill. Budget
2.5 mill. Acute myeloid leukemia (AML) is a disease with a significant unmet need for new treatment options. In response to this, Evaxion has identified endogenous retroviruses (ERVs) as a novel antigen source for treating AML. Using Evaxion's AI-immunology™ platform, we have designed a human vaccine candidate based on ERV targets. This project will focus on preclinical testing of the ERV vaccine, moving it towards clinical trials, with the goal of bringing new treatment options to AML patients.
Partners
Evaxion Biotech A/S, University of Copenhagen People
University of Copenhagen
Read more about the project
| |||
| UV Ballast Water Treatment system | 2021 - 2022 | Innobooster
|
|
|
UV Ballast Water Treatment system
Period
2021 - 2022
Region
Region Nordjylland Program
Innobooster Area
Ikke defineret Investment
Percentage
33 Invested
494.835 Budget
1.5 mill. Partners
SilkOcean People
SilkOcean
Read more about the project
| |||
| UV catheter disinfection device. Design, risk analysis, usability and microbiological validation | 2023 - 2023 | Innobooster
|
|
|
UV catheter disinfection device. Design, risk analysis, usability and microbiological validation
Period
2023 - 2023
Region
Program
Innobooster Area
Ikke defineret Investment
Percentage
35 Invested
1.5 mill. Budget
4.2 mill. Partners
UV Clinical A/S People
Read more about the project
| |||
| UV light source for next generation immunoassay analyzer | 2015 - 2018 | Industrial Researcher
|
|
|
UV light source for next generation immunoassay analyzer
Period
2015 - 2018
Region
Region Hovedstaden Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
44.58 Invested
893.468 Budget
2.0 mill. Partners
Technical University of Denmark, RADIOMETER MEDICAL ApS People
RADIOMETER MEDICAL ApS
Read more about the project
| |||
| UV Medico: bringing UV lasers to the next level | 2021 - 2022 | Innobooster
|
|
|
UV Medico: bringing UV lasers to the next level
Period
2021 - 2022
Region
Region Midtjylland Program
Innobooster Area
Ikke defineret Investment
Percentage
33 Invested
1.0 mill. Budget
3.2 mill. Partners
UV Medico ApS People
UVL A/S
Read more about the project
| |||
| UV-hærdende epoxy system | 2025 - 2025 | Innobooster
|
|
|
UV-hærdende epoxy system
Period
2025 - 2025
Region
Program
Innobooster Area
Ikke defineret Investment
Percentage
35 Invested
291.254 Budget
832.155 Partners
BODOTEX INTERNATIONAL A/S People
BODOTEX INTERNATIONAL A/S
Read more about the project
| |||