Building a foundation model of human plasma biology
Eliptica combines population-scale plasma proteomics with electronic health records and future health outcomes to learn how disease signals are reflected in blood — and translate those into scalable diagnostic tests.
100B+
Data points
50M+
100K+
Deeply phenotyped individuals
Early detection
Risk stratification
Monitoring
Preventive pathways
Next generation proteomics
Advanced mass spectrometry
High-throughput mass spectrometry measures plasma proteins and isoforms at absolute abundance, delivering deep, unbiased molecular insight.
Hyperscaling data acqusition
Population-scale biology
Automated robotics and standardised workflows reproducibly profile hundreds of thousands of plasma samples across biobanks and disease cohorts.
Predicting disease before diagnosis
AI-powered disease forecasting
Models learn disease trajectories from population-scale proteomics and longitudinal health data, revealing signals years before diagnosis.
FOUNDATION MODEL
Learning the biology of disease
Our multimodal model connects plasma proteomics with electronic health records and future outcomes to learn representations of human disease biology and identify signals that precede diagnosis.
DATA INPUTS
Plasma proteomics
Population-scale measurements of thousands of circulating proteins.
Longitudinal health records
Diagnoses, medications, laboratory results and clinical events over time.
Clinical metadata
Age, sex, risk factors, comorbidities and other patient characteristics.
FOUNDATION MODEL
Multimodal health foundation model
Learns representations of disease biology by connecting molecular measurements with longitudinal clinical trajectories.
DIAGNOSTIC OUTPUTS
Early disease detection
Detects the molecular signatures of disease before conventional diagnosis.
Disease prediction
Predicts which major diseases are most likely to emerge over the coming years.
Disease trajectories
Tracks how disease-associated biology changes over time.
Multi-disease detection
One blood measurement can reveal signals associated with multiple major diseases.
Patient stratification
Identifies biologically distinct patient groups for targeted screening and follow-up.
TRANSLATION
From discovery to clinical diagnostics
Our platform turns population-scale biological signals into focused blood tests for
earlier disease detection and monitoring.