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Project facts

Project manager

Bo Segerman Researcher, PhD, adjunct senior lecturer bo.segerman@sva.se

Main applicant

SVA

Start/end

2020 - 2021

AI analysis of Next Generation Sequencing data to identify infectious agents and their properties

The project focuses on making AI based methods available at SVA that can analyze data from so-called Next Generation Sequencing (NGS). NGS is a method that generates millions of sequence reads of short randomly selected regions in genetic material. The aim of the project is to test and adapt AI-based analysis of NGS data for identification of microbiological infectious agents and diagnostically important properties of these such as virulence and antibiotic resistance.

Last updated : 2020-11-26