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Artificial intelligence for automated, standardised interpretation of DNA testing results

Objective

UgenTec is an award winning Belgian bio-IT start-up that develops software for automated and standardised analysis of DNA detection tests. Founded in 2014, it is venture backed and as raised a capital of €3.45 million. The company is led by Wouter Uten and Tom Martens, both with a track record in successful business development. UgenTec has a contracted revenue of €427.000, a team of 24 software engineers, data scientists and molecular biologists and is supported by Deloitte, IMEC, KU Leuven university, EIC-ICT labs and Microsoft Innovation Centre Flanders.
Public health expenditure in the EU continues to rise with projected growth at 8.5% of GDP in 2060, driven by an ageing population and associated rise in chronic diseases and the promotion of personalised healthcare, demanding molecular information. This highlights an increasing need for automation in molecular diagnostics, including software solutions for interpretation of results. The market for genetic analysis software will grow substantially at 6.9% CAGR already by 2018. There is a clear market pull for automated solutions: as genetic testing volumes are growing every year and quality standards become stricter, the lab budgets are coming under pressure. As a disruptive innovative solution to this problem, UgenTec has developed the FastFinder software platform, advancing state of the art artificial intelligence and machine learning algorithms to automate the interpretation of results in the genetic testing workflow. FastFinder USP allows interpretation 30 times faster than manual interpretation and removes human errors that can lead to serious – and often costly – implications in treatment decisions for patients. Platform application potential extends beyond a clinical setting, (e.g. pharma, food safety) boosting commercial gain. This innovation has a revenue potential for UgenTec of over €100 million within 10 years coupled to the hiring of 100 additional highly skilled employees.

Field of science

  • /social sciences/economics and business/business and management/commerce
  • /medical and health sciences/health sciences/public and environmental health
  • /natural sciences/computer and information sciences/software
  • /natural sciences/computer and information sciences/artificial intelligence
  • /engineering and technology/other engineering and technologies/food and beverages/food safety
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

H2020-SMEINST-1-2016-2017
See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

UGENTEC NV
Address
Kempische Steenweg 305/6
3500 Hasselt
Belgium
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000