Understand the advance.
Put the idea in motion.
Seven interactive experiments, grounded in recent research. Every example has a question you can test.
A model should show what it cannot see.
Explore how pressure, shear and temperature availability changes the questions a research model can answer.
Ask what remains unknown when a temperature sensor goes offline.
Hide one channel and see the evidence summary change without filling the gap.
Expose the unknowns
This is not prediction confidence.
All three example channels are present. Tissue properties, loading history and individual tolerance are still unknown.
This demo does not implement that clinical model. It shows information coverage and changes from an invented baseline; it never predicts injury probability or declares a fit safe.
Inspect the demonstration rules
Available channels are counted without replacing missing values. Each is compared with a fixed invented baseline (pressure 30 units, shear 20 units, temperature 31 °C). Positive differences are observations for investigation, not risk scores.
An ICARA conference contribution describes a hybrid AI–biomechanics digital twin for socket-related skin damage, with a five-participant below-knee pilot.
Demo settings remain in this view during the session. Export an experiment to retain its parameters. These experiments do not change your care case or control a device.