AI for Genetic Disorder Diagnostics
| Reference number | |
| Coordinator | InnoFusion technology and design AB |
| Funding from Vinnova | SEK 1 300 000 |
| Project duration | March 2020 - January 2022 |
| Status | Completed |
| Venture | Innovation projects in enterprises |
| Call | Innovation projects in small and medium-sized companies - autumn 2019 |
Important results from the project
The goal is to build an Artificial intelligence tool to improve the efficiency of chromosome based genetic diagnostics and screening. We have developed a prototype that uses computer vision and deep learning models. The tool is designed to help clinical genetic clinicians to efficiently and confidently identify normal chromosomes. We have also built a top team of extremely talented machine learning and software engineers, user experience designers. As promised in our application, we have spun off the team, the project results to a startup Arkus AI.
Expected long term effects
The long term effects of the innovative algorithms built in this project will be more accessible and affordable genetic health benefits for people, because it improves the efficiency and reduces costs.
Approach and implementation
Despite the tremendous challenges caused by sudden and unexpected covid pandemic, we are able to push through three planed project phases together with great partners such as clinical genetic department at Umeå University Hospital, Medicover Germany. The implementation of the project involved three phases namely: initialisation of user studies, problem analysis and solutions design; research and development of component technologies, mainly computer vision and deep learning models; and last the phase of system integration and testing.