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Domino Data Lab and Appsilon Forge Alliance to Accelerate Pharma AI

Most pharmaceutical companies struggle to move AI models from experimental development into regulated production environments. A new partnership between Domino Data Lab and Appsilon aims to bridge this divide, integrating specialized R and Python implementation expertise directly into the Domino enterprise platform to satisfy stringent audit requirements.

Domino Data Lab and Appsilon Forge Alliance to Accelerate Pharma AI
Photo: Bio & News

The collaboration targets the infrastructure bottlenecks currently stalling clinical analytics. While data scientists frequently adopt modern open-source tools, the lack of validated, governance-ready environments often prevents these projects from reaching deployment. By embedding Appsilon’s specialized implementation workflows—including SAS-to-open-source migration and statistical computing support—into the Domino platform, the companies intend to streamline the transition to production.

Central to this integration is the release of Axon.R, a partner-built extension that allows teams to manage R package validation using established risk-based methodologies. According to Ricky Mann, Chief Solutions Officer at Domino Data Lab, providing a compliant environment is the missing link for organizations that have talent but lack the necessary infrastructure for scale. Olga Mierzwa-Sulima, CEO of Appsilon, noted that the partnership focuses on delivering a governed path that holds up under regulatory scrutiny, effectively allowing teams to modernize clinical analytics without sacrificing GxP compliance.

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