Helping a Major Healthcare Company Develop an Oncology-based AI Classifier.

CapeStart helped a major multinational digital health company develop a multi-omic, AI-powered classifier to predict patient responses to checkpoint inhibitors. Checkpoint inhibitors are a class of immuno-oncology agents often used to treat solid tumors.

 

The client needed a reliable, knowledgeable, experienced and affordable partner to analyze and label a large batch of de-identified multislice CT images. This data would then be used to train and validate the AI classifier, which would be used to drive better health outcomes for patients using checkpoint inhibitors.

 

Download the case study to learn how the CapeStart team’s extensive experience working in multislice PET scans – along with its innovative data labeling tool, ProNotate – helped them quickly identify and annotate images of cancerous lesions in the lungs.





Case Study

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