Overview
Example BioDeSci Data and Models
Our platform provides a robust and secure environment for managing and analyzing diverse biomedical data modalities. It enables:
Privacy-preserving data sharing
Collaborative model fine-tuning
Decentralized model evaluation
These capabilities together foster innovation in biomedical research and healthcare AI.
The sections that follow outline:
Common medical data types
Their standard formats
Foundational or domain-specific model examples
How Rexis ensures privacy and security for each modality
From tabular EHRs to high-resolution medical imaging, biological sequences, and spatial omics, Rexis supports a broad range of biomedical data applications within its encrypted AI infrastructure.
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