Developing software tools to improve cancer diagnosis and treatment planning for brain metastases

SBIR TOPIC 417: QUANTITATIVE IMAGING SOFTWARE TOOLS FOR CANCER DIAGNOSIS AND TREATMENT PLANNING

NIH-funded research Neuralrad LLC · NIH-10924835

This study is working on new software that uses smart technology to help doctors better diagnose and plan treatments for patients with brain tumors, making it easier for them to manage care and improve outcomes.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionNeuralrad LLC NIH-funded
Lab location1 site (Madison, United States)
Project IDNIH-10924835 on NIH RePORTER

What this research studies

This research focuses on creating advanced quantitative imaging software tools designed to enhance the diagnosis and treatment planning for patients with brain metastases. By utilizing artificial intelligence and machine learning, the project aims to automate and streamline the processes involved in contouring and planning for stereotactic radiosurgery (SRS), which is crucial for effectively managing multiple brain tumors. The goal is to alleviate the burden on healthcare teams, allowing for more efficient patient care and improved treatment outcomes.

Who could benefit from this research

Good fit: Ideal candidates for this research are patients diagnosed with brain metastases who require treatment planning for stereotactic radiosurgery.

Not a fit: Patients with primary brain tumors or those not requiring stereotactic radiosurgery may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate and efficient treatment planning for patients with brain metastases, ultimately improving their survival rates and quality of life.

How similar studies have performed: Other research has shown promising results in using AI and software tools for cancer treatment planning, indicating that this approach has potential for success.

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.