Funding
Funding not disclosed
Founders
Product
Problem
Clinical activity scores and exophthalmometer measurements for Thyroid Eye Disease (TED) are often unreliable due to variability between clinicians. This inconsistency makes it difficult to accurately measure TED progression and therapeutic outcomes in clinical trials.
Solution
TORC-Research provides AI-powered imaging data solutions to improve outcomes assessment for Thyroid Eye Disease (TED). The company leverages MRI or CT scans to create three-dimensional imaging of the orbits, offering enhanced accuracy compared to traditional methods. TORC specializes in imaging data acquisition, data assessment and analysis, and project management and support. Their services also include a TED imaging data repository with high-resolution MRI, CT, and ultrasound scans.
Target Audience
TORC-Research serves researchers, clinicians, and pharmaceutical companies involved in Thyroid Eye Disease (TED) research and treatment.
Features
- AI-driven algorithms for precise assessment of orbital changes
- 3D imaging of orbits using MRI and CT scans
- Intuitive image repository platform compliant with global privacy and security regulations
- Data assessment and analysis for meaningful insights from imaging data
- Dedicated project management and support throughout the research endeavor
- Curation of a diverse collection of TED imaging data