Case Study: a university research center and biotechnology firm improve colon cancer detection with Innodata

University Research Center and Biotechnology Firm improves colon cancer detection with Innodata using thousands of patient summaries

A university research center and a biotechnology firm partnered to develop an AI platform for the early detection of colon cancer. Their challenge was obtaining a high-quality, annotated dataset to train and improve their predictive model's performance, which was complicated by strict privacy requirements for medical records. They engaged Innodata for a solution.

Innodata's team of physicians and oncologists created a HIPAA-compliant data labeling process to annotate granular data from thousands of patient discharge summaries. Using a multi-annotator methodology ensured the delivery of a clean and highly accurate dataset. This enabled the client to significantly improve their model's performance, making its predictive analytics capabilities smarter and more accurate.