The science of reading a dog.
Long-form, peer-reviewed-referenced writing from the team building Scan — the 14-vector canine wellness engine. Product announcements, clinical method, and the research behind every vector.
Reading the canine eye: how computer vision detects ocular disease before owners do
Conjunctival hyperaemia, corneal clarity and tear-film deficits are among the earliest visible signals of both local and systemic disease. Here's how Scan's ophthalmic vector turns them into a score.
Otitis externa: what the ear canal reveals about whole-dog health
Erythema, exudate and odour are reliable clinical predictors of otitis severity. Scan's otic vector is built on multicentre case-control studies and microbial research into the canine ear.
The most common condition in adult dogs is hiding in plain sight: periodontal disease
Gingival inflammation correlates with systemic morbidity, yet most owners never look. Scan's dental vector grounds gum scoring in prevalence and inflammation research.
Beyond the '7 dog years' myth: estimating canine wellness age responsibly
Epigenetic clocks show dogs age non-linearly and by breed. Scan estimates a wellness-age band from observable proxies, and is explicit about what a photo can and cannot reveal.
The case for preventative telehealth: why early detection changes outcomes
Owner recognition of clinical signs drives time-to-presentation, and preventative programmes correlate with longevity. Scan is engineered to close the gap between noticing and acting.
