NIH-funded research R01 grant

Enabling Imaging and Alpha Therapy with New Chelators for Cancer

Official title: Enabling Diagnostic Imaging and Targeted Alpha Therapy with New Chelators

Funded at University of California Santa Barbara · NIH-11427379 · Data updated 2026-11-12

A cancer-focused project aims to create new chelators that let alpha-emitter radiopharmaceuticals both image and treat tumors more effectively.

More Diagnostic Imaging research and trials

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of California Santa Barbara
NIH-funded
Lab location1 site (Santa Barbara, United States)
Project startAugust 5, 2026
Project endJuly 31, 2030
Funding year2026
Award (this year)$447,728
NIH project number1R01EB039679-01
Project IDNIH-11427379 on NIH RePORTER

Who could benefit from this research

Could help

Patients with cancers that overexpress specific targets and could benefit from targeted radiopharmaceuticals.

Less likely to help

Patients whose cancer types are not suitable for radionuclide therapy or who cannot tolerate radiopharmaceuticals.

What this research studies

This research seeks to design bifunctional chelators that smoothly attach radionuclides to targeting molecules used to seek out cancer cells. By aligning diagnostic gamma/positron emissions with alpha-therapy, it could enable both detecting tumors and delivering potent treatment in one package. The team will explore chemistry and coordination strategies to handle alpha emitters like actinium-225 that are difficult to use clinically. The work involves collaboration between chemistry and biology experts to ensure the agents are stable, selective, and safe. If successful, it could expand options for targeted internal radionuclide therapy and theranostics.

Why it matters

Potential benefit: If successful, patients could benefit from more precise imaging and more effective alpha-particle cancer therapy.

How similar studies have gone: Previous studies show promise for alpha-emitter therapies, but reliable bifunctional chelators for combined imaging and therapy remain an area of active development.

Where this research is happening

  • University of California Santa Barbara
    Santa Barbara, United States
    Active

Researchers

  • Principal investigator: Wilson, Justin J — University of California Santa Barbara
  • Study coordinator: Wilson, Justin J

Related research

Other NIH-funded projects on the same topics.

  • AI-powered same-day read to speed breast cancer screening results

    A new AI system is being tested to give immediate screening results after a mammogram to reduce recalls, shorten anxiety, and speed up follow-up for breast cancer screening.

    NIH research University of California Los Angeles · Los Angeles, United States · NIH-11424512

  • Visual explanation-guided learning for human-AI cancer imaging

    A new AI-powered system helps doctors find abdominal cancers earlier by using visual explanations to guide how the AI analyzes CT/MRI scans.

    NIH research Emory University · Atlanta, United States · NIH-11397414

  • Bedside retinal imaging to detect and track retinopathy of prematurity

    This project aims to bring easy-to-use bedside retinal imaging for premature infants to help find and track the blood vessel changes that can lead to childhood blindness.

    NIH research Vanderbilt University · Nashville, UNITED STATES · NIH-11285192

  • AI for same-day breast screening results

    This project will use artificial intelligence to give people having screening mammograms faster same-day results and reduce unnecessary callbacks.

    NIH research University of California Los Angeles · Los Angeles, United States · NIH-11193907

  • Explainable AI to help doctors detect abdominal cancers on scans

    This project trains AI to highlight and explain suspicious areas on CT and MRI scans to help doctors find abdominal cancers earlier.

    NIH research Emory University · Atlanta, United States · NIH-11172611

  • Using AI to improve same-day breast cancer imaging results

    This study is looking at how using artificial intelligence can make breast cancer screenings faster and more accurate, helping to reduce the stress of false alarms for patients and ensuring that those who need more tests get them quickly.

    NIH research University of California Los Angeles · Los Angeles, United States · NIH-11125051

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.
Last reviewed 2026-11-14 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.