Developing software tools to improve cancer diagnosis and treatment planning for brain metastases
Official title: SBIR TOPIC 417: QUANTITATIVE IMAGING SOFTWARE TOOLS FOR CANCER DIAGNOSIS AND TREATMENT PLANNING
Funded at Neuralrad LLC · NIH-10924835 · Data updated 2026-11-12
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 type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Neuralrad LLC NIH-funded |
| Lab location | 1 site (Madison, United States) |
| Project start | August 28, 2023 |
| Project end | August 27, 2025 |
| Funding year | 2023 |
| Award (this year) | $1,990,308 |
| NIH project number | 75N91023C00032-0-9999-1 |
| Project ID | NIH-10924835 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients diagnosed with brain metastases who require treatment planning for stereotactic radiosurgery.
✕Less likely to help
Patients with primary brain tumors or those not requiring stereotactic radiosurgery may not benefit from this research.
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.
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 gone: 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
-
Neuralrad LLC
Madison, United States Active
Researchers
- Principal investigator: Jiang, Hao — Neuralrad LLC
- Study coordinator: Jiang, Hao
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.