GenoMe - The Client

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

The Challenge

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."
Shannon Beattie
Shannon Beattie
COO GenoME Diagnostics ​

The Strategy

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."
Dr Paul Mullan
Dr Paul Mullan
Founder GenoME Diagnostics ​

Results

Over £10K Saved Staff Costs

Adoption of Machine Learning without hiring new staff.

Reproducibile Machine Learning

Performed 1000+ ML experiments with easy-to-use platform and Zero Coding.

Reduced Time to Discovery

Higher quality research studies through increased data accuracy and validation.

"It has also enabled us to combine our inhouse results with external publicly available datasets, which otherwise would have cost us several weeks in man-hours. Furthermore, incorporation of Machine Learning into our pipeline has added confidence in our chosen biomarkers, development approach and future commercial assay."
Dr Paul Mullan
Dr Paul Mullan
Founder GenoME Diagnostics ​​
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