PROscope
Non-invasive, objective diagnostic tool for sports-related concussions.

PROscope is a non-invasive, objective diagnostic software tool for concussion and neurodegenerative disease detection. Utilizing a novel, proprietary software, PROscope captures and analyzes biometric signals to generate a digital signal, which translates to a numeric value that indicates normal or abnormal neurophysiological function. Our data support the tool’s ability to detect deficits, which is not otherwise available with current testing methods. The project’s long-term goals are to further validate these biomarkers with collaborative research, achieve FDA approval, and accelerate clinical adoption in high schools, community sports, emergency care, the military, and collegiate and elite sports medicine settings.
The study is non-invasive. Our current enrollment is expanding, and we are looking to increase our validity through research and commercial partners. The test itself is easy to set up—with minimal hardware requirements—and takes only three minutes to administer. This technology has the potential to transform concussion management by delivering a scalable, objective, and reproducible diagnostic solution.
As part of our plan for scalability, we are currently exploring collaboration with engineers to further our software’s functionality with other widely available hardware, including handheld devices.
Beyond sport medicine utility, we are also exploring the use of our biometric for detecting and monitoring neurodegenerative disease. We are currently seeking collaboration with neurology clinics specializing in neurodegenerative disease.
PROscope Clinical Benefits
Clinicians and athletic trainers' utilization of an objective concussion biomarker test to:
- Enhance diagnostic certainty
- Improve the quality of care
- Streamline patient management
- Ensure athletes are properly triaged

Target Performance Requirements
- Quantitative, non-invasive biomarker indicative of concussion and neurodegenerative disease
- Time-efficient and non-effort-dependent objective concussion diagnostic results
- Tracking neurological recovery and disease state over time means efficient treatment planning and safe return to play
- Deep Neural Network Artificial Intelligence supported, which provides a better understanding of risk factors for concussion, CTE, SIS
Meet Our Team
Thomas S. Bottiglieri, DO
- Assistant Professor of Sports Medicine at the Columbia University Medical Center
- Chief, Sports Medicine Physicians
Linus D Sun, MD, PhD
- Neuro-ophthalmologist
- Medical Director at Regeneron
Christopher Driscoll, MS
- Co-Inventor
Contact Us
Please get in touch with us at ortho-teambotts@cumc.columbia.edu for more information or if you are interested in:
- Investment opportunities
- Patient enrollment
- Research collaboration