The multidisciplinary research projects in the centre combine biotechnology with digital technology in health, aquaculture, agriculture, and industrial biotechnology. There are altogether 17 large projects in the Centre, that are led by project leaders from universities and research institutes supported by the Norwegian Research Council. In addition, there are 19 associated partner projects.
Emulating life in 3D with digital and experimental tissue models
Adaptive Heuristics and Architecture
Microbial production of omega-3 fatty acids - a model based approach
Developing an environmentally friendly, low-cost method for making palladium (Pd) nanoparticles.
Big insight from big data
Systems analysis and fundamental control of bacterial processes in the production of bio-concrete for construction purposes
Centre for Cancer Biomarkers
As it swims along the Norwegian coastline, the cod can be a good indicator on the state of our marine environment. Now scientists want to find out how different pollutants and combinations of them affect the cod.
Digital discovery of antimicrobial molecules from marine Artic resources with reduced risk of triggering resistance.
From genes to brain function in health and disease
Digital Salmon - From a reactive to a pre-emptive research strategy in aquaculture
An easier life with diabetes.
Combinatorial drug treatment for cancer
To discover and optimize new antibiotics.
There is an urgent need to develop new drugs to combat antibiotic resistance. The solution can be surprisingly close, in microorganisms living in the Trondheim fjord.
Biophotonic sensor platform for diagnostics.
Implementing a model organism for studying vault function and application as smart adjuvant for fish vaccination.
Listening to their gut to improve the lives of people with type I diabetes.
Optimized oxidative enzyme systems for efficient conversion of lignocellulose to valuable products.
A database to understand Parkinson’s disease
Personalised cancer therapy
Screening of cancer drug sensitivity data to predict cancer therapies.
Developing AI-based software to identify prostate cancer in MR images.
Responsibility, practice and the public good across Digital Life.
Using machine learning to tackle a computational bottleneck in the drug discovery and development process.