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AI trained to predict which skin cancers will spread

NCT ID NCT06327971

Knowledge-focused Sponsor: Queen Mary University of London Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

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 This study
Running, but no longer taking on new participants.
Completed
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026

Summary

This study tests a computer model that uses deep learning to analyze tissue samples from 300 people with a common skin cancer called squamous cell carcinoma. The goal is to see if the model can predict whether the cancer will spread to other parts of the body. No new drugs or treatments are being tested.

What this could mean

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

What this could lead to
If successful, this could lead to a tool that helps doctors better predict which skin cancers might spread, improving follow-up care.
What could go wrong
This is an observational study using existing data, not a treatment trial. The model may not work as well in real-world settings or different patient groups.

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.

Participants

About 300 people

The number the study aims to enrol. It can still change while the study runs.

Started

Oct 2023

Expected to finish

Oct 2028

An estimate. End dates often move.

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.

Who is studied

Adults

Ages

18 years and older

Sex

Anyone

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.

Histologically-confirmed diagnosis of primary cutaneous squamous cell carcinoma

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Conditions

The condition(s) this trial relates to.

skin squamous cell carcinoma

As listed by the trial registrant

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

Squamous cell carcinoma of the skin

Contacts and locations

Locations

  • Barts Health NHS Trust

    London, United Kingdom

More trials for these conditions

Other studies related to the condition(s) this trial covers.