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AI-powered proteomics

OXcan uses advanced proteomics measurements and cutting-edge AI to support patient management and care

Our science is focused on respiratory diseases and lung cancer

We provide solutions for risk profiling and diagnostic evaluations, with the goal of improving patient outcomes and saving lives

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Led by multidisciplinary expertise

Our team integrates decades of experience across assay development, proteomic analysis, and respiratory medicine, including chronic obstructive pulmonary disease and lung cancer

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Guided by untargeted proteomics

We profile the blood plasma proteome in depth, capturing thousands of protein features for each individual patient in one comprehensive molecular analysis

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Built and validated on real data

Developed using samples and data from biobanks and large clinical cohorts, our technology reflects biological and population variations seen in real-world lung disease

Machine learning platform that interprets the proteome like a high-dimensional fingerprint

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Disease-linked signal detection in broad data

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Proteomic pattern integration with patient context

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Alignment with real-world clinical needs  

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Algorithms informed by lung cancer and respiratory expertise

How does it work?

Protein expression levels are measured from a plasma sample using mass spectrometry. Our AI then analyses these data alongside baseline measurements and clinical expert input to produce a result that can support disease prognosis estimates

A small blood sample is prepared for analysis

Protein levels are evaluated across the sample

Relevant clinical details are added to the analysis

AI interprets disease-linked patterns

Clinicians receive clearer information for risk profiling and disease management

© Oxford Cancer Analytics 2026