

Biomed
Designed for precision medicine and prepared to answer real-world demands. Biomed orchestrates the acquisition, structuring, visualization, processing, and analysis of complex health data intrinsic to precision medicine. Genomic data, biochemical markers, medical images and real-time biosensor data are our basis.
Biomed, the central engine within the Genomcore platform, provides a secure and powerful solution for managing, processing, and interpreting multimodal biomedical data.
Designed for real-world healthcare demands, it unifies clinical, genomic, and digital health information within a single system.
Integrate and store large datasets in our multimodal repository for genomic data, time series, medical images, or clinical records from different data sources.

Advanced data modeling through customizable records, tailored to each data type or use case
Native integration with standards like HL7 FHIR, GA4GH, and openEHR for clinical interoperability
Horizontal and vertical scalability: add new data types, reanalyze existing samples, or expand datasets

Configure permission levels to match specific responsibilities
Time-limited, subset-specific data access for enhanced security
Shared workspaces, computing, and storage resources for collaboration
Support for research consortia, hospitals, and institutions
GDPR compliant solution with ISO 27001, ISO 27017, ISO 27018, and ENS certifications
Configurable analysis engine for genomic, clinical, imaging, or biosensor data
Support for primary and secondary analysis, with customizable pipelines
Quality control, versioning, and full auditability of all analytical processes


Capture, process, store and extract insights from your data in a fully auditable Trusted Research Environment (TRE)
Enable joint exploitation of clinical, genomic, and multimodal data while preserving data sovereignty and privacy
Create your own private, shareable repository of curated and annotated genomic variants
Generate live dashboards with real-time indicators: diagnostic performance, quality metrics, cohort stratification, and more





