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AI-Powered running coach aims to predict and prevent shin splints and Runner's knee

NCT ID NCT07689916

Disease control Sponsor: Zeyi Zhang Source: ClinicalTrials.gov ↗

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 08, 2026 · Last updated Jul 09, 2026 · Updated 1 time

Summary

This study uses machine learning to identify biomechanical risk factors for common running injuries like shin splints, runner's knee, and Achilles tendon pain in recreational runners. Participants undergo motion capture and muscle activity analysis while running, then are followed for six months to track injuries. After that, some receive an 8-week precision exercise program with stretching, strength training, and real-time feedback, while others continue their usual routine. The goal is to see if personalized exercises can improve running mechanics and reduce injury risk.

What this could mean

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

Active substance
precision exercise program (stretching, strength training, real-time movement feedback)
What this could lead to
If successful, this could lead to personalized exercise programs that prevent common running injuries like shin splints and runner's knee.
What could go wrong
This is a small, early-stage study with 204 participants. The machine learning approach may not translate to all runners, and the exercise program may not outperform general training advice.

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

204 people

The number who actually took part.

Started

Aug 2025

Finished

Feb 2026

Lead sponsor

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

18 to 30 years

Sex

Male participants only

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

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: * Male recreational runners (without formal professional training) * Weekly running distance greater than 10 km * No history of lower-limb injury within the past 3 months Exclusion Criteria: * Other musculoskeletal or soft-tissue injuries, including arthritis, muscle injury, or meniscal injury * History of lower-limb surgery * Regular participation in contact or high-impact sports

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Conditions

The condition(s) this trial relates to.

Medial Tibial Stress Syndrome patellofemoral pain syndrome tendinosis

As listed by the trial registrant

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

Chronic achilles tendinopathy Medial tibial stress syndrome Patellofemoral pain, PFP Running related injuries

Contacts and locations

Locations

  • Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University

    Shanghai, Minhang District, 200241, China

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