Case Study: a leading pharmaceutical company achieves 2X better patient matching accuracy with Persistent AI-powered analytics

Health-tech leader increases patient matching accuracy for advanced cancer research with AI-powered analytics

Persistent Systems worked with a leading pharmaceutical company, a US-headquartered global health-tech leader, to improve its Imaging AI platform for advanced cancer research. The company needed a more robust way to identify patients most likely to respond to new therapies, because its existing single-modality approach was not accurate enough to profile diseases by type and stage, and it required help integrating multi-omics and radiology data.

Persistent Systems built a HIPAA-compliant SaaS analytics platform on AWS, along with data ingestion and multimodal processing pipelines that unified genomics, radiomics, clinical, EHR, RIS, imaging, and sequencing data. The solution improved data analysis efficiency and accuracy by 2X, enabling more precise patient matching for new therapies and providing a longitudinal visualization portal to track disease progression and support personalized care.