https://store-images.s-microsoft.com/image/apps.29055.cfa67142-be6f-4c06-aaad-098e2e923fc8.32e17734-df64-4ac6-ac52-a0d170db23f9.a509b16c-0d56-4cda-8e0a-d079ad80dad9

BioAge US

by Toku Inc

Accessible AI Health Assessments through the eyes, making optometry the front door to healthcare.

About BioAge

BioAge determines a person’s biological age (consistent with AHA cardiac aging) from retinal images, offering accurate, low-cost results instantly at the point of care. It provides insight into overall health, based on vascular, metabolic, inflammatory, and lifestyle indicators found in the retina.


BioAge helps patients understand how their body and cardiovascular system is aging and empowers them to make informed health choices. By comparing BioAge to chronological age, patients can monitor their health journey and take proactive steps toward maintaining a healthy lifestyle.

Scientifically proven to be equivalent to costly and time-consuming epigenetic and telomere length biological age tests, and identifying the same risk factors as cardiac aging, BioAge offers a faster, more affordable alternative.


Retail Optometry Benefits

BioAge extends optometry beyond traditional eye care and the scope of a comprehensive eye exam, creating new revenue streams using existing retinal cameras. It helps optometrists differentiate their services, boosting patient satisfaction and retention.

Seamlessly integrating with existing patient workflows and hardware, BioAge enhances the retail optometry clinic experience, offering valuable health insights while maintaining a smooth, efficient process.


The AI Models
Our AI models are powered by the largest and fastest-growing dataset of 4.3 million retinal images linked to medical records. Using a revolutionary, patented method, our AI platform evaluates over 23 million technical and 12 age-related cardiac parameters in each retinal image to generate an accurate BioAge result.

At a glance

https://store-images.s-microsoft.com/image/apps.9464.cfa67142-be6f-4c06-aaad-098e2e923fc8.32e17734-df64-4ac6-ac52-a0d170db23f9.7645d8b2-0866-43bd-a8e3-9e2a66c9d617
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