WearableDose has developed a patented electronic polymer dosimeter that accurately measures radiation intensity and spatial distribution during cancer treatment. This technology enables precise radiation therapy administration, reducing costs and improving patient outcomes in oncology.
Funding
Funding not disclosed
Founders
Product
Problem
Current methods of measuring radiation exposure during cancer treatment lack the precision needed to accurately target tumors while minimizing damage to surrounding healthy tissue. This can lead to increased side effects, reduced treatment efficacy, and higher healthcare costs. Existing dosimetry methods often fail to provide real-time, spatially resolved data, hindering the ability to adapt treatment plans dynamically.
Solution
WearableDose has developed a novel electronic polymer dosimeter that provides accurate, real-time measurement of radiation intensity and spatial distribution during radiotherapy. The WearableDose Patch, a disposable adhesive applied to the patient’s skin, utilizes a patented electronic polymer particle detector to precisely measure radiation exposure. This technology enables clinicians to administer radiation therapy with greater precision, directing radiation to tumors while minimizing exposure to healthy tissue. By providing detailed dosimetry data, WearableDose facilitates personalized treatment plans, reduces side effects, and improves patient outcomes. The system's enhanced accuracy also contributes to cost savings by optimizing radiation delivery and reducing the need for additional treatments.
Target Audience
The primary target audience includes radiation oncologists, medical physicists, and hospitals seeking to improve the precision and safety of radiation therapy for cancer patients.
Features
- Disposable, adhesive patch based on an electronic polymer particle detector
- Real-time measurement of radiation intensity and spatial distribution
- High-precision dosimetry for accurate targeting of tumors
- Capability to adapt treatment plans dynamically based on real-time data
- Integration with existing radiotherapy systems
- Wireless data transmission for remote monitoring
- AI-driven data analysis for enhanced insights