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Genialis Innovates Machine Learning Solutions for Clinical Biomarker Discovery

Genialis, a leader in applied data science for the development of precision medicines, announced it has received a grant to co-finance the development of groundbreaking biomarker discovery technologies. The award from the Slovenian Research Agency contemplates support for the collaboration between BioLab (University of Ljubljana) and Genialis through 2023. This comes on the heels of Genialis’ discovery of several novel technologies in pursuit of machine-learning-enabled clinical biomarkers. The sponsored research compliments Genialis’ own internal R&D program, providing additional expertise, tooling and talent.

“The precision medicine movement has made great strides, but it also has revealed certain limitations in targeting treatments to patients due to the challenges of identifying therapeutically relevant biomarkers,” said Rafael Rosengarten, Ph.D., CEO of Genialis. “Genialis is focused on the next generation of biomarkers, those that embrace biological complexity, confront bias in data, and take full advantage of the computational technologies at our fingertips.”

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These new approaches to biomarker discovery incorporate proprietary technologies for deriving predictive gene signatures and harmonizing clinical datasets to identify clinically applicable biomarkers. Biomarkers developed based on these technologies are featured in poster presentations at the 2021 European Society for Medical Oncology and ​​European Congress on Gynaecological Oncology conferences this Fall. Genialis will also unveil more details about their new platform’s capabilities at BioData World Congress 2021 in Basel, Switzerland in early November.

The expansion of the collaboration with BioLab builds on an already fruitful relationship between the entities. Genialis has deep ties to BioLab, a renowned research group within the Faculty of Computer and Information Science at the University of Ljubljana, Slovenia. Miha Stajdohar, CTO and co-founder of Genialis, earned his Ph.D. at the institution and was co-mentored by Blaz Zupan, Ph.D., director of BioLab. Dr. Zupan remains a senior advisor to Genialis, and has published numerous studies on data integration, machine learning and clinical data analysis.

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