Case Study: CAVATICA achieves integrated imaging and genomics analytics at scale with Flywheel

Flywheel as the Imaging Solution with CAVATICA in a Multimodal Data Ecosystem

CAVATICA faced the challenge of fragmented medical data—imaging, genomics, and clinical records were locked in domain-specific silos that hindered linkage, de‑identification, and scalable AI research. Flywheel was engaged as the imaging vendor, deploying its cloud‑native medical imaging platform to augment CAVATICA’s genomics workflow and address interoperability, privacy, and scalability needs.

Flywheel deployed its platform in AWS and collaborated with CAVATICA to build a cross‑platform integration for pre‑processing, interoperable cohort discovery, and shared projects. The Flywheel–CAVATICA solution enabled extraction of concrete derivatives (e.g., tumor size from images and genetic markers from sequences), multimodal cohort selection, and integrated analytics to support AI model development—making multimodal analysis more scalable, privacy‑compliant, and ready for multi‑site contributions.

CAVATICA