AI to predict side effects in liver cancer treatment

NCT ID NCT07156617

Not yet recruiting Knowledge-focused Sponsor: Xuhua Duan Source: ClinicalTrials.gov ↗

Summary

This study aims to understand why liver cancer patients have different outcomes and side effects when receiving a combination of localized and drug-based treatments. Researchers will analyze real-world medical records from 2,000 patients to identify patterns. The goal is to build a computer model that can predict a patient's risk of side effects and help doctors make more personalized treatment decisions.

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Contacts and locations

Study contacts

  • Contact

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

Locations

  • Deng zhou People's Hospital

    Dengzhou, Henan, China

    Contact

  • First People's Hospital of Shangqiu

    Shangqiu, Henan, China

    Contact

  • Huai He Hospital of Henan University

    Kaifeng, Henan, China

    Contact

  • Jiangxi Provincial People's Hospitail

    Nanchang, Jiangxi, China

    Contact

  • Luo Yang Central Hospital

    Luoyang, Henan, China

    Contact

  • Second People's Hospital of Jiaozuo

    Jiaozuo, China

    Contact

  • The First Affiliated Hospital of Henan University of science and Technology

    Luoyang, Henan, China

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

  • The First Affiliated Hospital of Nanchang University

    Nanchang, Jiangxi, China

  • The First Affiliated Hospital of Zhengzhou University

    Zhengzhou, Henan, China

    Contact Email: •••••@•••••

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

  • The Second Affiliated Hospital of Hainan Medical Universsity

    Haikou, Hainan, China

    Contact

  • The Second People's Hospital of Jiaozuo

    Jiaozuo, Henan, China

    Contact

  • Wuxi No.5 People's Hospital

    Wuxi, Jiangsu, China

  • Xingtai No.5 Hospital

    Xingtai, Hebei, China

    Contact

  • Zhou Kou Central Hospital

    Zhoukou, Henan, China

    Contact

Conditions

Explore the condition pages connected to this study.