Point of care and AI-driven early detection of Alzheimer’s, through a simple eye exam.
1. Eye Examination
Our AI-based solution analyses data-rich images captured with existing retinal imaging cameras available in most eye clinics — this means that the experience is familiar and comfortable.
2. Data-Rich Images
Data-rich images of the retina are captured using high resolution retinal imaging providing the basis for detailed analysis and more accurate results. Each pixel has over 100 colors instead of just 3 (i.e., red, green, blue) in a regular color image.
3. Explainable AI (XAI)
Automated Alzheimer’s detection uses artificial intelligence to help clinicians detect Alzheimer’s years before the emergence of clinical symptoms, with future possibilities of AI algorithms to aid healthcare professionals in identifying other diseases.
A Game-Changing Collaboration in Alzheimer's Detection
RetiSpec's solution draws on technology developed by Robert Vince, Ph.D., and Swati More, Ph.D., at the University of Minnesota's Center for Drug Design.
Among many incredible discoveries, Prof. Vince, invented one of the first blockbuster drugs for HIV, abacavir (Ziagen). Fortunately, Professor Vince continued his discoveries alongside Professor More when they developed the underlying method of using retinal hyperspectral imaging to detect Alzheimer's disease pathology with a simple eye exam.
Publications
Small Title
Dec, 2023
Hyperspectral analysis of amyloid beta (Aβ) evolutional changes in preclinical to late-stage Alzheimer’s disease using matched brain and retinal tissue
M. Flanagan, B. Danner, C. Zamudio, C. Spencer, J. N. Lilek, A. Matos, M. Morris, K. Ajroud, W. Xie, C. Bornbaum, J. Westreich, S. More
Oct, 2023
Implementing cognitive assessment and RetiSpec retinal screening in community-based settings: enhancing early detection of Alzheimer’s disease
S. Cohen, A. Kurzman, J. Giordano, R. Naureen, A. Hansen, M. Martinez, M. Bietenhader, N. Sohbati, N. Abdulla, C. Cameron, S. Estreicher, S. Semwel, C. Bornbaum
Small Title
Oct, 2023
RetiSpec’s AI-based retinal test: Results of a multi-site, prospective, validation study to predict brain Aβ pathology in a diverse population of adults with preclinical, mci, and probable Alzheimer’s disease.
A. Hazan, C. Bornbaum, E. Shaked, J. Giordano, Y. Edlitz, D. He, D. Kerwin
Recent Conference Presentations
Small Title
Implementing cognitive assessment and RetiSpec retinal screening in community based settings: Enhancing early detection of Alzheimer's disease
S. Cohen, A. Kurzman, J. Giordano, R. Naureen, A. Hansen, M. Martinez, M. Bietenhader, N. Sohbati, N. Abdulla, C. Cameron, S. Estreicher, S. Semwel, C. Bornbaum
