Articles on cervical-screening workflows, research data preparation, healthcare deployment boundaries, and security evidence that can be reviewed by clinical, technical, and partner teams.
The financing contract is signed. TealGuard now advances from SmartClover's publicly accessible CerviGuard TRL 6 prototype toward a clinically validated, interoperable and production-ready TRL 9 platform for gynecologic oncology.
The acquisition adds a local-first purple-team platform, a controlled laboratory and an open-source SBOM foundation to SmartClover's healthcare AI and research portfolio.
SmartClover and AI STM Learning are building a practical evidence layer for NIS2 readiness, funded through the CYberSynchrony FSTP open call.
How SmartClover is using DataGems to explore structured synthetic-data workflows, traceable generation jobs, and reviewable exports for healthcare AI research.
CerviGuard combines secure clinical workflows with AI-assisted triage, grounded in lessons from field screening and follow-up research in underserved communities.
How SmartClover scopes healthcare AI security work across deployment boundaries, partner tooling, authorized expertise, and traceable evidence.
How SmartClover scopes healthcare AI deployment across edge/on-prem workers, cloud coordination, and traceable release records.
How SmartClover connects healthcare AI research to source evidence, clinical review, and workflow design.