AI takes on muscle aging: new study aims to spot sarcopenia early
NCT ID NCT07477574
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study will create a smart AI tool that uses muscle tests and scans to diagnose sarcopenia—age-related muscle loss—more accurately. Researchers will also check if a rehabilitation exercise program can improve muscle function in adults 65 and older who are at risk. The goal is to find better ways to detect and treat muscle aging.
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
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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
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About 75 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Mar 2026
An estimate. Start dates often move.
- Expected to finish
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Feb 2028
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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65 to 85 years
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Adults aged 65 years or older * Individuals with reduced muscle function or at risk of sarcopenia * Able to participate in rehabilitation training * Able to understand the study procedures and provide written informed consent Exclusion Criteria: * Severe cardiovascular, neurological, or musculoskeletal conditions that limit participation in exercise * Severe cognitive impairment * Participation in other clinical trials that may influence study outcomes * Any medical condition judged by the investigator to make participation unsafe
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The official record
The full official record for this study. This one lists no contact details, but it is the first place any would appear.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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