Digital twin predicts muscle gains: a new era for personalized fitness?

NCT ID NCT04849923

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Aug 13, 2026 · Updated 2 times

Summary

This study tested a computer model, called a digital twin, to see if it could predict how muscles change with strength training. Twenty-three healthy adults did a 6-week strength program while researchers tracked their progress. The goal was to improve training guidelines and make workouts safer and more effective for everyone.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
Strength training (resistance training) self-directed by participants
What this could lead to
If successful, this could lead to personalized training programs that are safer and more effective for rehabilitation and fitness.
What could go wrong
This is a small, early-stage validation study in healthy volunteers, so results may not apply to injured or older populations. The digital twin model may not accurately predict real-world outcomes.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

23 people

The number who actually took part.

Started

Jan 2022

Finished

Nov 2025

Lead sponsor

A government agency

The lead sponsor is a government body.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

20 to 40 years

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Healthy participants; and * Age 20-40 years old; and * No acute or chronic musculoskeletal symptoms or pain; and * Experience with strength training (at least 1-year strength training experience with one training session per week or more); and * Familiar with strength exercises of key muscles associated with knee joint stability. Exclusion Criteria: * Acute or chronic musculoskeletal pain; and/or * Musculoskeletal surgery within the last 12 months; and/or * Ongoing rehabilitation or treatment of musculoskeletal complaints or injury; and/or * Neuromusculoskeletal disease (e.g. cerebral palsy); and/or * Pregnancy.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • Silvio Lorenzetti

    Winterthur, Canton of Zurich, 8400, Switzerland

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