VISION

How Proxima will interact with the future of Algocyte and its AI platform.

Most medical AI is statistical pattern-matching on legacy data. Algocyte is built on the physics of the measurement itself, then constrained by causal biological models, so longitudinal interpretation stays aligned with clinical reality.

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At a glance

Layers in the future stack

Device for multiple tests

Personal baseline per patient

FUTURE STACK

Six layers, one signal.

Hardware-level measurement, physics-informed networks and causal biological models, engineered to work as one pipeline.

Multi-sensor measurement

Each cartridge is read by multiple sensors. Raw physical signals, not pre-processed indices, feed the model.

Physics-informed network

Neural networks are constrained by the physics of the sensor and the biology of the analyte, less data, better generalisation.

Causal biological model

A causal layer keeps interpretation consistent with what is biologically plausible across time and across patients.

Personal baseline

Each user's own time series defines their reference range. Drift is meaningful even within population norms.

Population context

Anonymised population datasets provide comparator distributions and signature priors.

Clinical workflow

Alerts support existing escalation paths, with EHR integration capability. The clinician stays in control.

Designed for the patient's home

Decentralised by design

Built for a system where the patient is at home.

The device, the model and the workflow all assume the patient is at home, not in a clinic, not in a lab.

Connects to portable and wearable devices, with EHR integration capability
Combines subjective & objective data: symptoms, lifestyle, immunology, history
Actionable insights across the care continuum
Structured clinical context with provenance

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Privacy & governance.

UK GDPR

All personal data is processed under UK GDPR. Identifiable data is encrypted in transit and at rest, and never sold.

Anonymised research

Research datasets are anonymised before any model is trained. Re-identification is engineered to be infeasible.

Auditability

Every interpretation is traceable to the measurement that produced it and the model version that delivered it.

Bring regular immune monitoring to users and patients.

Book a 20-minute briefing with our team to see Algocyte in action.

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How Proxima will interact with the future of Algocyte and its AI platform.