YData for Healthcare & Pharma

Data-Centric AI for Healthcare

From flexibile data-sharing to bias mitigation, YData Fabric provides healthcare innovation leaders with a complete workbench for data-centric AI applications development accelerated by synthetic data and data profiling.

Use cases for Healthcare & Pharma

Access to patients’ data

Data is the prime matter and needs to be accessible

Organizations cannot share patients’ data directly due to concerns about privacy. A lot more problems could be solved if patients’ data could be shared across organizations without impacting their privacy. YData enables the easy sharing of data both within internal teams and external organizations.

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Data augmentation

Overcome lack of data and data silos

In critical domains such as this data often exists in silos, which is insufficient to train a good model. Data augmentation is a proven method to work around this problem. YData accomplishes this without any unintended side effects by synthesizing data without changing its inherent nature.

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Handling bias

Balance your datasets to save more lives

ML models are being used in the clinical domain often for diagnosis purposes. The dataset can turn out heavily imbalanced if the subject selection is not done properly. Using our Synthesizers, you can balance the dataset and make sure that your model is not trained on the wrong data.

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Join AI innovation with the right data

Become the best in class by delivering faster and better AI solutions with improved data.

Our most recent articles

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