Improving cervical cancer treatment with automated brachytherapy planning
Optimizing Efficiency and Quality of Brachytherapy for Cervical Cancer using Machine Learning Based Automation
This study is exploring how to make the treatment planning for cervical cancer faster and more reliable by using smart computer technology, so patients can get better care without the long wait times.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Diego NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project ID | NIH-11088713 on NIH RePORTER |
What this research studies
This research focuses on enhancing the treatment planning process for brachytherapy in cervical cancer patients by utilizing machine learning automation. Currently, treatment planning is manual, taking an average of 95 minutes and relying heavily on the physician's expertise, which can lead to variability in treatment quality. By developing automated solutions, the goal is to streamline this process, making it faster and more consistent, ultimately improving patient outcomes. The research team is composed of experts in machine learning and clinical trials, ensuring a robust approach to this critical issue.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients diagnosed with cervical cancer who are eligible for brachytherapy treatment.
Not a fit: Patients with cervical cancer who are not candidates for brachytherapy or those receiving alternative treatments may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more efficient and higher-quality brachytherapy treatments for cervical cancer patients, potentially improving survival rates.
How similar studies have performed: Other research has shown promise in using machine learning for treatment planning in various medical fields, indicating potential success for this novel approach in brachytherapy.
Where this research is happening
La Jolla, United States
- University of California, San Diego — La Jolla, United States (Active)
Researchers
- Principal investigator: Meyers, Sandra Michelle — University of California, San Diego
- Study coordinator: Meyers, Sandra Michelle
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 below.