Human Physiological Twin

Simulate beneath the surface.

A connected patient model is the foundation for meaningful observations, interventions and longitudinal change.

Synthetic orthopedic state prototype · multi-system physiology planned

Discuss your use case Explore the complexes

01 / Simulation architecture

One person, connected systems.

The design relates physiology, history, injuries, medications, mobility and pain. Conditions remain part of a connected patient rather than isolated disease cards.

Cardiovascular, respiratory and metabolic systems
Neurological, renal and inflammatory states
Musculoskeletal injury, healing and rehabilitation

02 / Simulation architecture

Measurements should have a cause.

The intended device layer reads from modeled patient state. A displayed value should have a traceable source, time and relationship to the simulated encounter.

State-derived observations and trends
Laboratory and imaging workflow integration
Explicit uncertainty and model assumptions

03 / Simulation architecture

Validation is a separate discipline.

Current clinical physics and healing values are synthetic proxies. They are not validated patient physiology, clinical decision support or a regulated medical device.

Benchmarks and independent expert review required
Model versioning and reproducible experiments
Educational and research use evaluated separately

A clear development boundary

Orthopedics is the initial prototype focus. Specialty scope, advanced physiology, institutional authoring and multiplayer describe the platform direction. No clinical validation or regulatory approval is claimed.

See what exists today

Architecture in context

Body systems belong to one patient.

The planned model relates conditions and observations across systems. This diagram explains that relationship without claiming physiological validation.

Concept studyThree interconnected twins · planned architecture

Layer 01

One connected human state.

The planned physiological twin connects body systems, injury, disease and recovery. Observations are intended to follow the simulated patient state.

All three layers refer to the same persistent patient and medical world.

Architecture in context

Read an observation alongside its context.

The website uses fixed synthetic values to explain a review interface. They do not predict a patient's response to treatment.

Concept studySynthetic observations · educational website illustration

14:02 / After-action view

Patient arrival

92bpm

The initial observations enter the illustrative record.

Fixed synthetic data, not a physiological model or clinical reference. Patient-state-derived analytics are a planned capability.

Questions for an evaluation

Scope the model before deployment.

Define the clinical task, available hardware, intended learners and required evidence before deciding which capabilities belong in an institutional evaluation.

01Can multiple clinicians train together?

Mixed human and AI teamwork is part of the design. A synchronized multiplayer experience is planned; the current prototype provides shared-backend foundations rather than a completed multi-user product.

02Can hospitals create custom scenarios?

Educator authoring is planned for patients, conditions, objectives, teams, complications and rubrics. It is intended to reduce reliance on Unreal source changes, but a production authoring interface is not yet available.

03Can AESORYX run privately or on-premises?

Local inference is used in the current prototype. Private cloud and on-premises delivery are deployment directions to assess with institutions; a production deployment package has not been established.

04Is AESORYX clinically validated or a medical device?

No clinical validation, regulatory approval or clinical decision-support status is claimed. The current work is a simulation prototype. Clinical judgment, patient care and regulated device use require separate governance and evidence.

For institutions building what comes next

Build the next generation
of medical simulation.

Start with your specialty, your team and a concrete learning or research objective.

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