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…

A major healthcare provider needed an experienced, innovative partner to help the development of an AI-based natural language processing (NLP) classifier. The client’s goal was to use the classifier to automatically identify and categorize Breast Imaging Reporting and Data System (BI-RADS) scores, by extracting and understanding text from a dataset of breast radiology reports. However,…

Healthcare providers are under constant pressure to provide high-quality care and improve patient experiences, while at the same time reducing operational costs. Luckily, healthcare organizations now have more information at their disposal than ever before. They’re sitting on an ever-increasing trove of data generated from diagnostic data, medical claims information, electronic medical records, medical Internet of…