The Data Foundation
The Data Infrastructure layer forms the foundation of the Patient Analog platform. It ingests, harmonizes, and serves data from diverse sources including genomic sequencing, proteomic profiling, metabolomic analysis, clinical records, and real-time experimental outputs from organ-on-chip and organoid systems.
Genomics
Whole genome sequencing, exome data, SNP arrays, and structural variant analysis from patient samples and cell lines.
Proteomics
Mass spectrometry-based protein identification, quantification, and post-translational modification analysis.
Metabolomics
Comprehensive metabolite profiling capturing drug metabolism, cellular energy states, and biochemical pathway activity.
Phenomics
High-content imaging, cellular phenotype screening, and functional assay data from experimental platforms.
Data Processing Pipeline
Data Ingestion
Automated connectors pull data from sequencing facilities, lab instruments, EHR systems, and experimental platforms in real-time.
Quality Control
Automated QC pipelines validate data integrity, check for batch effects, and flag anomalies before downstream processing.
Harmonization
Data from different sources is mapped to common ontologies (SNOMED, GO, ChEBI) and normalized to enable cross-study analysis.
Feature Extraction
Derived features, pathway scores, and aggregated metrics are computed for model consumption.
Serving Layer
Low-latency APIs serve data to computational models, dashboards, and downstream applications with sub-second response times.
Technical Capabilities
Federated Architecture
Data remains at source institutions with federated queries enabling analysis without data movement, preserving privacy and reducing compliance burden.
Version Control
Complete data lineage tracking with time-travel capabilities allows reproducing any analysis with the exact data state at execution time.
Standard Formats
Native support for FHIR, CDISC, HL7, and emerging standards ensures seamless integration with healthcare and research ecosystems.