Colorado Center for Personalized Medicine: Integrating genetic data and patient records in the cloud to personalize care

The Colorado Center for Personalized Medicine needed to combine large-scale genetic data and EHRs from multiple partner institutions (UCHealth, Children's Hospital Colorado, CU Medicine) to find disease patterns and personalize care, but its costly on-premises infrastructure couldn't scale or query efficiently. It moved to Google Cloud Storage, BigQuery, Cloud Life Sciences and Compute Engine, paired with Tableau for self-service analytics. Probabilistic record linkage across 6 million patient records went from 8 hours to 15 minutes - a 97% reduction - while achieving HIPAA compliance; Associate Director Michael Ames said Google Cloud "provides significant advantages in data security over on-premises systems."

Google supplies AI to pharma through several distinct lines — Gemini/Vertex AI as an enterprise platform, and AlphaFold-based drug design licensed commercially through Isomorphic Labs.

This sits in the Build stage of the AI use-case lifecycle: Named examples from the foundation-model labs and platforms pharma teams use to actually construct, train and generate the model or application.