Application areas

Pattern Solutions develops software that can be used in many areas as for instance:

Molecular Diagnostics

In an experiment Pattern Solutions carried out an analysis of about 40 urine tests of children suffering from autism or not, equally distributed. Then a proof of concept experiment was carried out where the number of samples were about 120. The analysis was based on time series of molecular spectra, so-called HPLC-data. Read more...

Cancer

Pattern Solutions has developed different methods for adaptive clustering of data to be used for instance in cancer diagnostics. It is then possible to detect at an early phase the development of a specific type of cancer based on how the clustering image looks like. Read more...

Computational Neuroscience

Pattern Solutions has developed a prototyp of a data system to simulate how different networks consisting of nerve cells (neurons) in the brain interact related to the study of the brain’s attention function. 60 % of the capacity of the human brain is dedicated to visual attention. To understand this function may have consequences for our understanding ADHD of children. Read more...

Fish farming

Pattern Solutions has also developed technology to carry out analysis on data from many salmon production sites across the whole country. The data was organized in four different regions of Norway. The goal of the analysis was to develop prediction models of the production process of find salmon quality. Read more...

Biometrics

In an automatic fingerprint identification system (AFIS), the fingerprint database can be huge, often tens of thousands of fingerprints. If you were supposed to check for similarity between the query fingerprint and every other fingerprint in the database, this could take very much time. Fingerprint classification is therefore an important step that has to be implemented in every fingerprint identification system. Read more...

At the moment Pattern Solutions has given priority to develop applications in biomedicine and fish farming