Modeling brain tumors to predict treatment outcomes

Multi-scale modeling of glioma for the prediction of treatment response, treatment monitoring and treatment allocation

NIH-funded research Stanford University · NIH-11079529

This study is working on new computer models that combine different types of patient information to help doctors better understand how people with aggressive brain tumors, like gliomas, will respond to treatments, aiming to improve care and outcomes for patients.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionStanford University NIH-funded
Lab location1 site (Stanford, United States)
Project IDNIH-11079529 on NIH RePORTER

What this research studies

This research focuses on developing advanced computational models that integrate various types of patient data, including imaging and molecular profiles, to better predict how patients with aggressive brain tumors, specifically gliomas, will respond to treatments. By utilizing informatics algorithms, the project aims to enhance the accuracy of treatment monitoring and allocation, potentially allowing for earlier detection of treatment responses and disease progression. The goal is to create a framework that provides actionable insights for clinicians, improving patient care and outcomes.

Who could benefit from this research

Good fit: Ideal candidates for this research are adults diagnosed with IDH wild-type high-grade gliomas who are undergoing treatment.

Not a fit: Patients with other types of brain tumors or those not currently receiving treatment may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more personalized and effective treatment strategies for patients with gliomas.

How similar studies have performed: Previous research in multi-scale modeling has shown promise in predicting clinical outcomes, suggesting that this approach could yield significant advancements in treatment strategies.

Where this research is happening

Stanford, 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.
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.