Case Study: Mendel achieves faster clinical AI model training and HIPAA-compliant insights with Databricks

Accelerating clinical trials to improve patient outcomes

Mendel, an AI leader in healthcare and life sciences, faced fragmented clinical data across EMRs and health networks that slowed real-time querying, cohort discovery, and clinical trial matching in its HyperCube platform. Building disease-specific ontologies was also complex and resource-intensive, making it harder to deliver accurate, compliant insights for precision medicine and drug development.

To address these challenges, Mendel used Databricks Mosaic AI to streamline ontology-building and accelerate model training. With Databricks, Mendel cut its training timeline from three months to one month, while improving AI accuracy and maintaining HIPAA compliance.

Mendel

Caleb Li

Director of Partnerships and Corporate Development