Whole-body + specialist models
Move from the full human context into organ, neural, spine, gait, trauma, sensory, genomic and endocrine representations.
HumanTwin · Powered by LargeQuant
See the entire human system. Then move from visible anatomy to quantitative state.
HumanTwin demonstrates the application ceiling of LargeQuant: a full-body digital twin that can branch into specialist biological models while retaining experiments, simulation, uncertainty, evidence and scientific memory underneath.
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Application architecture
A visible human is the interface. The scientific system lives underneath it.
HumanTwin is a first-party biomedical application. HumanTwin provides the domain experience for inspecting human-system state. Its visual engine maps selectable anatomical regions across whole-body, organ-system, neural, musculoskeletal and other research models. LargeQuant provides the operating layer underneath: scientific projects, observations, quantitative models, uncertainty, lineage, reproducibility and bounded evidence-aware decisions.
HumanTwin whole-body geometry and public-safe anatomical region mappings preserved from the earlier HumanTwin application work.
LargeQuant operating layer
- Scientific project, hypothesis, experiment and observation records
- Quantitative models, calibration and uncertainty
- Evidence and immutable dataset lineage
- Reproducibility and benchmark infrastructure
- Trusted scientific execution and result ingestion
Capability vectors
The twin can become a front end to a much larger human-systems research programme.
Variables behind visible regions
Bind measurements, computational outputs, calibration, uncertainty and evidence class to the system they describe.
Observation → hypothesis → result
Connect observations to experiments, simulations, result ingestion and reproducibility rather than stopping at visualisation.
Tissue, organ and biofabrication
Extend the same operating model into biological materials, design objectives, process recipes, maturation and quality evidence.
Human systems under changing conditions
Study biological state against explicit terrestrial, near-space or orbital boundary conditions and experimental context.
A twin that accumulates evidence
Preserve model versions, longitudinal observations, failed evaluations and provenance as the research programme evolves.
Scientific operating loop
Model the system. Execute. Measure. Recalibrate. Decide what happens next.
HumanTwin is shown as a research capability demonstration. The public state is synthetic and is not patient-specific diagnosis or treatment advice.
01
Observe
Register measured or computational observations against the biological region and research context they describe.
02
Model
Represent whole-body or specialist anatomical state with explicit variables and model assumptions.
03
Evaluate
Expose uncertainty, calibration and evidence class beside the visible twin instead of collapsing them into a single confidence score.
04
Experiment
Connect hypotheses, experiments and result ingestion to the biological system under study.
05
Remember
Preserve datasets, failed evaluations, model state and reproducibility records so later work can build on prior evidence.
What the application can express
Visual state connected to quantitative state.
Interactive anatomical twins
Selectable region geometry with whole-body and specialist anatomical layers.
Quantitative evidence binding
Attach computational or measured observations to the biological region and model state they inform.
Uncertainty and model state
Expose uncertainty, calibration and evidence class alongside the visible twin.
Scientific programme context
Connect anatomy, physiological data, hypotheses, experiments and reproducibility records into one programme.
Longitudinal evidence structure
Represent repeated observations and model-state changes without detaching a number from its provenance.
Research-safe public visualisation
Use synthetic/public demonstration envelopes rather than private participant or clinical records.
HumanTwin