GenoMe DIagnostics

Biomarker Discovery




GenoME Diagnostics is an award-winning biomarker discovery company based in Belfast, Ireland. They are developing OvaME, a cutting-edge ddPCR-based diagnostic test for ovarian cancer which has the potential to detect changes in the very earliest stages of disease.

We had a large number of promising novel biomarkers that we needed to shortlist to a more manageable number, which we planned to take forward for further lab validation and lock-down of the final assay for commercial use."

Shannon Beattie
Shannon Beattie
COO GenoME Diagnostics ​




GenoME Diagnostics wished to utilize industry-leading machine learning techniques to harness their data assets. This would enable them to rapidly identify novel combinations of diagnostic biomarkers across different disease settings. However, due to the surge in global demand for AI and machine learning, emerging biotech companies like GenoME Diagnostics are unable to source and maintain data science teams and as a result are at risk of missing out on valuable data-driven insights.  

"The Sonrai Analytics team were exceptionally helpful. Initially, we did not have a great amount of experience in big data analysis, and the Sonrai team helped to walk us through the platform options and training in a way that was simple to understand, yet professional."

Dr Paul Mullan, Founder,  GenoMe Diagnostics




Sonrai Analytics has enabled GenoME Diagnostics to embrace machine learning in their day-to-day operations. As a result, the company has performed hundreds of machine learning experiments across multiple datasets without using a single line of code.

Sonrai has dramatically accelerated GenoME’ Diagnostic’s ability to identify and validate new biomarkers, saving time and money without having to hire a team of expensive data scientists.

"The results of our engagement with Sonrai has accelerated our validation timeline. It has enabled us to scientifically, logically and reproducibly shortlist our novel potential biomarkers, to only take forward the most promising and differential for further validation in the lab. This has vastly reduced the hands-on time and cost for GenoME Diagnostics product development."
Shannon Beattie
Shannon Beattie
COO GenoME Diagnostics ​


Staff saving

£1000s Saved Staff Costs

Adoption of Machine Learning without hiring new staff.


Reproducible Machine Learning

Performed over 1000 ML experiments with easy to use platform and ZERO Coding.

Save Time

Reduced Time to Discovery

Higher quality research studies through increased data accuracy and validation.

See Your Data on the Platform

We can arrange quick hands-on demo's to walk you through what can be achieved with your data and product pipelines