Case Study: CENTOGENE improves rare disease diagnostics with KNIME

How KNIME helped Centogene identify biomarkers & improve accuracy of patient diagnostics

CENTOGENE, a rare disease diagnosis and research company, needed a way to give biomarker experts access to advanced metabolomics and AI-based analysis without requiring them to be IT or AI specialists. To support faster biomarker discovery and better patient diagnostics, the company turned to KNIME and its guided analytics approach.

KNIME implemented automated, reproducible workflows with browser-based, interactive applications, integrating data sources, Python, and Jupyter notebooks into a flexible analytics environment. As a result, CENTOGENE improved collaboration, reduced manual work and training time, strengthened auditing and standardization, and accelerated the identification of biomarkers to deliver better medical solutions more quickly and cost effectively.

CENTOGENE

Anne Schwerk

Information Technology Project Manager Artificial Intelligence,