AI blood test aims to catch Cancer's comeback before scans can

NCT ID NCT05196087

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Sep 28, 2026 · Last updated Sep 29, 2026 · Updated 1 time

Summary

Researchers are testing whether an artificial intelligence platform can analyze blood, stool, and tissue samples to find tiny traces of cancer left behind after curative treatment. The study enrolls 800 adults with early or locally advanced breast cancer, melanoma, or gastrointestinal neuroendocrine tumors who have had or plan to have curative therapy. By sequencing circulating tumor DNA and applying machine learning, the team hopes to flag molecular residual disease before it becomes visible on scans or causes symptoms, which could allow earlier intervention and potentially prolong relapse-free survival.

What this could mean

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

Active substance
an artificial intelligence-based monitoring program that analyzes blood, stool, and tissue samples
What this could lead to
If it works, doctors could one day use routine blood and stool tests to spot cancer's return months before scans or symptoms show it, opening the door to earlier treatment.
What could go wrong
The approach is still experimental and may miss tiny amounts of cancer or raise false alarms. It is not yet proven to extend lives, and the AI models need validation across many patients and tumor types.

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 800 people

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

Started

Jul 2022

Expected to finish

Jun 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

Early stage or locally advanced disease that is planned for or have undergone curative treatment.

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.

Inclusion Criteria: 1. Patients with histological confirmation of a solid tumor. 2. Patients must have early stage or locally advanced disease that is planned for or have undergone curative treatment. 3. Patient must be ≥ 18 years old. 4. All patients must have signed and dated an informed consent form. Exclusion Criteria: None

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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.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. 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.

Contacts and locations

Locations

  • Princess Margaret Cancer Centre

    RECRUITING

    Toronto, Ontario, M5G 2M9, Canada

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