Quantum leap in cancer detection: AI blood test could slash unnecessary biopsies

NCT ID NCT07238959

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is developing a new blood test that combines quantum sensors and artificial intelligence to detect prostate cancer. Researchers will analyze DNA fragments in blood samples from 1100 men to train an AI model. The goal is to create a non-invasive, accurate diagnostic tool that could reduce the need for invasive prostate biopsies.

What this could mean

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

Active substance
Quantum detection platform analyzing cfDNA in blood
What this could lead to
If successful, this could provide a simple, non-invasive blood test to accurately diagnose prostate cancer early and avoid many unnecessary biopsies.
What could go wrong
This is an early-stage study developing and testing a new algorithm. The test may not prove accurate enough in real-world settings, and results may not apply to all populations.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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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.

Contacts and locations

Study contacts

  • Contact

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Cancer Hospital, Chinese Academy of Medical Sciences

    Beijing, Beijing Municipality, 100021, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••

  • Jiangsu Provincial People's Hospital

    Nanjing, Jiangsu, China

  • Ningbo No. 1 Hospital

    Ningbo, Zhejiang, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••

  • Shanghai Changzheng Hospital

    Shanghai, Shanghai Municipality, 201209, China

  • The First Affiliated Hospital of Soochow University

    Suzhou, Jiangsu, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••

  • The First Affiliated Hospital of Guangzhou Medical University

    Guangzhou, Guangdong, 510120, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact Email: •••••@•••••

  • West China Hospital, Sichuan University

    Chengdu, Sichuan, 610041, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••

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