Nyhedsbrev
Tilmeld dig Innovationsfondens nyhedsbrev og få de seneste nyheder, søgemuligheder og arrangementer
| Titel Sortér faldende | Periode | Program | |
|---|---|---|---|
| Predicting CDK4/6 Inhibitors for Metastatic BC | 2025 - 2027 | Innobooster
|
|
|
Predicting CDK4/6 Inhibitors for Metastatic BC
Periode
2025 - 2027
Region
Program
Innobooster Fagområde
Ikke defineret Investering
Percentage
34 Fondens investering
997.900 Samlet budget
2,9 mio. Projektdeltagere
AÏDA ONCOLOGY Aps Projektleder
AÏDA ONCOLOGY Aps
Læs mere om projektet
| |||
| Predicting Listening Intent from Motion Behavior for Hearing Assistive Devices | 2025 - 2028 | Erhvervsforsker
|
|
|
Predicting Listening Intent from Motion Behavior for Hearing Assistive Devices
Periode
2025 - 2028
Region
Program
Erhvervsforsker Fagområde
Ikke defineret Investering
Percentage
51.69 Fondens investering
1,1 mio. Samlet budget
2,1 mio. For at bevare et godt mentalt helbred, er det vigtigt at kunne deltage i sociale sammenhænge og derfor at kunne kommunikere med andre mennesker. For mange er dette er et problem i situationer hvor flere taler samtidig, fordi de ikke kan fokusere på dem, de ønsker at lytte til. Hvis vi ved, hvad en person ønsker at lytte til, kan vi hjælpe dem ved at fremhæve de ønskede lyde. Dette projekt vil bruge krops-, hoved- og øjenbevægelser, der viser hvad en person ønsker at lytte til og fremhæve dette.
Projektdeltagere
GN HEARING A/S, Technical University of Denmark Projektleder
Technical University of Denmark
Læs mere om projektet
| |||
| Predicting Shipping Market Dynamics: A Big Data Approach | 2022 - 2025 | Erhvervsforsker
|
|
|
Predicting Shipping Market Dynamics: A Big Data Approach
Periode
2022 - 2025
Region
Region Hovedstaden Program
Erhvervsforsker Fagområde
Ikke defineret Investering
Percentage
54.58 Fondens investering
1,1 mio. Samlet budget
2,0 mio. Projektdeltagere
Roskilde University, TORM A/S Projektleder
TORM A/S
Læs mere om projektet
| |||
| Predicting wind turbine stability in general inflow PRESTIGE | 2020 - 2022 | Grand Solutions
|
|
|
Predicting wind turbine stability in general inflow PRESTIGE
Periode
2020 - 2022
Region
Region Hovedstaden Program
Grand Solutions Fagområde
Energi, Klima og Miljø Investering
Percentage
73.21 Fondens investering
9,7 mio. Samlet budget
13,2 mio. Projektdeltagere
Technical University of Denmark, Aalborg University, VESTAS Wind Power Systems A/S, Siemens Gamesa Renewable Energy A/S, LM Wind Power A/S Projektleder
Danmarks Tekniske Universitet
Læs mere om projektet
| |||
| Prediction model for flyvedligehold | 2020 - 2022 | Innobooster
|
|
|
Prediction model for flyvedligehold
Periode
2020 - 2022
Region
Region Hovedstaden Program
Innobooster Fagområde
Ikke defineret Investering
Percentage
33 Fondens investering
452.925 Samlet budget
1,4 mio. Projektdeltagere
Beep Analytics ApS Projektleder
Beep Analytics ApS
Læs mere om projektet
| |||
| Prediction of atmospheric dispersion on all scales for emergency preparedness | 2021 - 2023 | Erhvervsforsker
|
|
|
Prediction of atmospheric dispersion on all scales for emergency preparedness
Periode
2021 - 2023
Region
Region Hovedstaden Program
Erhvervsforsker Fagområde
Energi, Klima og Miljø Investering
Percentage
100 Fondens investering
1,1 mio. Samlet budget
1,1 mio. Projektdeltagere
University of Copenhagen, DANMARKS METEOROLOGISKE INSTITUT Projektleder
DANMARKS METEOROLOGISKE INSTITUT
Læs mere om projektet
| |||
| Prediction of docetaxel treatment in breast cancer patients and deconvolution of molecular mechanisms in breast cancer with artificial intelligence | 2026 - 2029 | Erhvervsforsker
|
|
|
Prediction of docetaxel treatment in breast cancer patients and deconvolution of molecular mechanisms in breast cancer with artificial intelligence
Periode
2026 - 2029
Region
Program
Erhvervsforsker Fagområde
Ikke defineret Investering
Percentage
33.58 Fondens investering
1,1 mio. Samlet budget
3,2 mio. Taxanerne er nogle af de mest centrale kemostoffer til behandling af brystkræft. Her vil der laves en prædiktiv AI model for respons af behandling med stoffet docetaxel, samt et deep learning framework, der kan belyse molækylerbiologiske interaktioner i brystkræft på et omik-niveau. Der vil desuden testes eksisterende pipelines for dataharmoniserning, med henblik på at teste biomarkører for respons til kemobehandling og forudsigelse af brystkræft-subtyper på større skalaer end hidtil gjort.
Projektdeltagere
AÏDA ONCOLOGY Aps, University of Copenhagen Projektleder
University of Copenhagen
Læs mere om projektet
| |||
| Prediction without training population – improving malt quality and yield in winter barley | 2017 - 2020 | Erhvervsforsker
|
|
|
Prediction without training population – improving malt quality and yield in winter barley
Periode
2017 - 2020
Region
Region Midtjylland Program
Erhvervsforsker Fagområde
Bioressourcer, Fødevarer og Livsstil Investering
Percentage
61.47 Fondens investering
1,1 mio. Samlet budget
1,7 mio. Projektdeltagere
Aarhus University, SEJET PLANTEFORÆDLING I/S Projektleder
SEJET PLANTEFORÆDLING I/S
Læs mere om projektet
| |||
| Predictions platform for B2B revenue teams | 2023 - 2024 | Innobooster
|
|
|
Predictions platform for B2B revenue teams
Periode
2023 - 2024
Region
Program
Innobooster Fagområde
Ikke defineret Investering
Percentage
35 Fondens investering
537.950 Samlet budget
1,5 mio. Projektdeltagere
Unhaze ApS Projektleder
Læs mere om projektet
| |||
| Predictive Coding for SAP | 2018 - 2018 | Innobooster
|
|
|
Predictive Coding for SAP
Periode
2018 - 2018
Region
Region Hovedstaden Program
Innobooster Fagområde
Ikke defineret Investering
Percentage
29.76 Fondens investering
425.617 Samlet budget
1,4 mio. Projektdeltagere
Gekkobrain ApS Projektleder
Gekkobrain ApS
Læs mere om projektet
| |||
| Predictive Maintenance Edge Software | 2020 - 2020 | Innobooster
|
|
|
Predictive Maintenance Edge Software
Periode
2020 - 2020
Region
Region Hovedstaden Program
Innobooster Fagområde
Ikke defineret Investering
Percentage
32.96 Fondens investering
332.490 Samlet budget
1,0 mio. Projektdeltagere
Prediba I/S Projektleder
Prediba I/S
Læs mere om projektet
| |||
| PREDSPOSED PREDiSPOSED - Population-based Retro- & prospective Evaluation of Diagnostic Sequencing for Pediatric & Oncogenetic Syndromes’ Early Detection | 2023 - 2028 | Grand Solutions
|
|
|
PREDSPOSED PREDiSPOSED - Population-based Retro- & prospective Evaluation of Diagnostic Sequencing for Pediatric & Oncogenetic Syndromes’ Early Detection
Periode
2023 - 2028
Region
Program
Grand Solutions Fagområde
Ikke defineret Investering
Percentage
42.87 Fondens investering
21,6 mio. Samlet budget
50,4 mio. Neonatal screening is among the most impactful preventative health measures ever implemented. Here, we apply for an investment that will result in an unprecedented expansion of the national screening effort, which has a documented potential to massively prevent mortality and morbidity.
The PREDiSPOSED project implements our novel method - Double Batched Sequencing (DoBSeq) - that reduces the cost of identifying rare genetic variants by 94%: saving this project 75M DKK. In combination with the world-leading Danish biobanks and health registries, PREDiSPOSED will conduct nucleotide-resolution genomic screening of 113 genes associated with cancer predisposition syndromes (CPSs) at the lowest cost ever achieved in the world.
PREDiSPOSED reports actionable genetic variants back to the participants who can then opt for precision prevention already offered by Danish health care. PREDiSPOSED’s estimated diagnostic output will lead to >7,000 years of life saved, equivalent to >2B DKK in economic impact.
Using CPSs as a disease prototype, PREDiSPOSED has five main phases: 1) citizen perception of/response to screening for CPSs, 2) pilot study/testing, 3) retrospective DoBSeq of 200,448 adults (40% are already consented), 4) DoBSeq of 100,376 newborns, and 5) dissemination of results with the expressed aim of permanently expanding/establishing early childhood and adult genomic screening for CPSs and, likely, hundreds of other rare, serious, actionable, genetic conditions.
Projektdeltagere
Copenhagen University Hospital (Rigshospitalet), Statens Serum Institut, Danish Cancer Society, University of Copenhagen Projektleder
Læs mere om projektet
| |||
| Prefabricated Timber-Concrete Composite Deck Structures - Design and modelling in context of circular construction | 2021 - 2024 | Erhvervsforsker
|
|
|
Prefabricated Timber-Concrete Composite Deck Structures - Design and modelling in context of circular construction
Periode
2021 - 2024
Region
Region Hovedstaden Program
Erhvervsforsker Fagområde
Ikke defineret Investering
Percentage
44.89 Fondens investering
1,1 mio. Samlet budget
2,4 mio. Projektdeltagere
Technical University of Denmark, RAMBØLL DANMARK A/S Projektleder
RAMBØLL DANMARK A/S
Læs mere om projektet
| |||
| PregAI PregAI AI-assisted phone triage during pregnancy and postpartum | 2025 - 2028 | Grand Solutions
|
|
|
PregAI PregAI AI-assisted phone triage during pregnancy and postpartum
Periode
2025 - 2028
Region
Program
Grand Solutions Fagområde
Ikke defineret Investering
Percentage
74.26 Fondens investering
9,1 mio. Samlet budget
12,2 mio. Projektdeltagere
Copenhagen Business School, Corti, Emergency Medical Services, Capital Region, Herlev Hospital, Hvidovre Hospital, Roskilde University Projektleder
Hvidovre Hospital
Læs mere om projektet
| |||
| Prehypo - prediction of low blood sugar | 2017 - 2018 | Innobooster
|
|
|
Prehypo - prediction of low blood sugar
Periode
2017 - 2018
Region
Region Midtjylland Program
Innobooster Fagområde
Ikke defineret Investering
Percentage
33 Fondens investering
386.094 Samlet budget
1,2 mio. Projektdeltagere
Medicus Engineering Projektleder
MEDICUS ENGINEERING ApS
Læs mere om projektet
| |||