A German university hospital used DataRobot to let clinicians run predictive analyses on clinical data.
Clinicians at UMC Mannheim wanted to analyse clinical data to improve outcomes but lacked data science expertise. They used the DataRobot AI Platform with predictive AI, time series and visual AI for medical images, plus governance and observability. The page reports that 29.6% of chronic skin disease patients improved quality of life at six months, that laboratory markers linked to cardiovascular risk were found, and that the work was published in peer-reviewed journals.
DataRobot is an enterprise AI platform for building, governing and observing predictive and generative models, used by hospitals and pharma for forecasting and clinical research
This sits in the Build stage of the AI use-case lifecycle: Named examples from the foundation-model labs and platforms pharma teams use to actually construct, train and generate the model or application.
Published by DataRobot on its own site — read the original case study on datarobot.com ↗
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