AI tool to predict chemotherapy response for brain tumors

Artificial Intelligence-based decision support for chemotherapy-response assessment in Brain Tumors

NIH-funded research Wm S. Middleton Memorial Veterans Hosp · NIH-11130949

This project will build an AI tool to help doctors predict which people with glioblastoma are unlikely to benefit from chemotherapy.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionWm S. Middleton Memorial Veterans Hosp NIH-funded
Lab location1 site (Madison, United States)
Project IDNIH-11130949 on NIH RePORTER

What this research studies

I have glioblastoma and after surgery I may be offered radiation plus chemotherapy. The team will use past and new patient MRIs, clinical records, and genomic information from Veterans to train an artificial intelligence system to spot patterns linked to chemo response and to tell tumor return from treatment-related changes. They will test the tool on existing data and in patients seen at the Madison VA to see how well it matches real outcomes. The aim is to guide treatment choices and cut down on unnecessary biopsies and ineffective chemotherapy.

Who could benefit from this research

Good fit: Ideal candidates are people with glioblastoma—especially Veterans treated at the Madison VA—who have had surgery and routine post-treatment MRI and clinical follow-up.

Not a fit: People without glioblastoma, those without the required imaging or clinical/genomic records, or those already ineligible for alternative therapies may not directly benefit from this work.

Why it matters

Potential benefit: If successful, the tool could spare patients from toxic, ineffective chemotherapy, reduce unnecessary diagnostic biopsies, and help match people to better treatment options sooner.

How similar studies have performed: Some AI and imaging-biomarker work has shown promise for distinguishing tumor progression from treatment effects and for outcome prediction, but reliable upfront prediction of chemotherapy non-response is still largely experimental.

Where this research is happening

Madison, 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.