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Can AI predict who will respond to liver cancer drugs?

NCT ID NCT07495735

Knowledge-focused Sponsor: First Affiliated Hospital of Wenzhou Medical University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 25, 2026 · Last updated Aug 05, 2026 · Updated 3 times

Summary

This study will use artificial intelligence to analyze CT scans and medical data from 400 liver cancer patients to predict who will respond to a common drug combination (atezolizumab and bevacizumab). The goal is to create a non-invasive tool that helps doctors choose the best treatment for each patient, avoiding ineffective therapies. The study is observational, meaning it looks back at existing patient data rather than testing a new treatment.

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 non-invasive AI tool that helps doctors identify which liver cancer patients are most likely to benefit from a standard drug combination, avoiding unnecessary treatment.
What could go wrong
This is an observational study using past data, not a treatment trial. The AI model may not work as well in real-world settings or for all patients.

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 400 people

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

Started

Mar 2026

Expected to finish

Dec 2026

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

unresectable HCC patients

Ages

18 years and older

Sex

Anyone

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: * (i) Clinical or pathological diagnosis of HCC; * (ii) Administration of atezolizumab-bevacizumab treatment; * (iii) At least 18 years old. Exclusion Criteria: * (i) Lack of key clinical data (laboratory test results), or lack of enhanced CT images taken within one month before treatment; * (ii) Comorbid with other malignant tumors; * (iii) PS score \> 2 or Child-Pugh score \> 7; * (iv) Unable to evaluate tumor response; * (v) Loss to follow-up.

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Conditions

The condition(s) this trial relates to.

hepatocellular carcinoma

As listed by the trial registrant

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

Atezolizumab and bevacizumab in hepatocellular carcinoma HCC - hepatocellular carcinoma

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

  • First Affiliated Hospital of Wenzhou Medical University

    RECRUITING

    Wenzhou, Zhejiang, 325000, China

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