RECORDED WEARABLE READINGS

Glucose over time.

Choose a recorded example to see glucose, movement, heart rate and a saved glucose prediction.

Last observed glucose

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Forecast at +145 min

—Prediction begins 30 minutes after the starting point

Readings available

GlucosePlus steps and heart rate below

Activity data available

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Glucose readings and prediction

See earlier readings and what may happen next.

RecordedPredictedWhat happened next

Movement

Steps every 5 minutes · gaps mean no reading

WEARABLE

Heart rate

Beats per minute · recorded readings

WEARABLE

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A GUIDE TO THE BODY

Where glucose travels 3D

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LiverNo direct measurements

Gray organs = no direct measurements · select one to learn more

Select a body part

EXPLORE THE SIMULATION60 min

120 min

Move through the example, minute by minute.

3. SEE WHAT CHANGES

Two possible
glucose paths.

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EXAMPLE SIMULATION Based on assumptions, not a personal glucose prediction.

Simulated glucose · mg/dL

RestYour activity

Same meal and starting glucose in both curves. Only activity changes.

Difference after 2 hours—

With your activity, compared with rest.

LEARN ABOUT THIS ORGAN

No direct measurements

The liver supplies glucose.

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We measure glucose, steps and heart rate. The gray organs help explain the example; their activity has not been measured.

What this example can tell you

Both curves use the same starting glucose, meal and assumed body response. Only activity differs. This example is separate from the recorded person and their glucose prediction. It cannot yet tell us how much a particular person would benefit from activity. Medication timing is unavailable and is not simulated.

ABOUT THE DATA

What we know. What we assume.

Recorded readings, predictions and simulations are different things.

RECORDED

Wearable readings

Glucose, steps and heart rate come from saved research recordings. Gaps mean a reading is missing. These are not live readings.

PREDICTED

Glucose forecast

A model uses earlier wearable readings to predict glucose. Changing the what-if settings does not change this saved forecast.

SIMULATED

Your what-if example

The example uses an assumed meal, activity and body response. It is not yet personalized to the person in the wearable recordings.

Why are the organs gray?

We do not have direct measurements of liver glucose production, gut absorption, muscle glucose use, kidney glucose loss or insulin release in this dashboard. The organs are reference anatomy, not scans of a participant. Gray means unmeasured, not unhealthy or inactive.

The wider research dataset includes one-time clinical tests and medication questionnaires. These do not provide continuous organ activity, and those clinical results are not connected to this view. Meals and medication times were not recorded.

What is still missing?

We have not established that this simulation can predict a particular person's response to a change in activity. The body illustration does not show organ health.