Creating a digital model of the liver to improve cancer treatment

A liver digital twin for personalized cancer therapy

NIH-funded research University of California at Davis · NIH-10992569

This study is working on a new way to make liver cancer treatments safer and more effective by using computer technology to create a digital model of your liver, helping doctors personalize the best treatment plan for you during a procedure called transarterial embolization.

Quick facts

Grant typeU01 cooperative agreement
Study typeNIH-funded research
Funding institutionUniversity of California at Davis NIH-funded
Lab location1 site (Davis, United States)
Project IDNIH-10992569 on NIH RePORTER

What this research studies

This research aims to enhance the effectiveness and safety of liver cancer treatments by developing advanced computational tools that create a digital twin of the liver. By utilizing artificial intelligence, the project seeks to personalize treatment strategies for patients undergoing transarterial embolization, a procedure that blocks blood flow to tumors while delivering targeted therapies. The study will analyze patient-specific data to optimize treatment plans, potentially leading to better outcomes and reduced side effects. The research addresses the challenges of current imaging techniques that often result in inadequate dosing and incomplete tumor treatment.

Who could benefit from this research

Good fit: Ideal candidates for this research are patients diagnosed with advanced liver cancer who are considering or undergoing transarterial embolization treatments.

Not a fit: Patients with early-stage liver cancer or those not eligible for transarterial embolization may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more effective and personalized cancer therapies, improving survival rates and quality of life for liver cancer patients.

How similar studies have performed: Previous research has shown promising results with personalized treatment approaches in cancer therapy, indicating potential for success in this novel application.

Where this research is happening

Davis, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions Advanced Cancer
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.