Biopsies and FNA (fine-needle aspiration) tests, two common tests for skin cancer in dogs, are time-consuming, invasive, and expensive. Dogs and their doctors deserve better.
We are building a noninvasive AI-based solution for vets that will analyze photos of skin lesions and patient health information to inform downstream diagnostics and treatment. The image and patient data will be analyzed by Lynx’s AI model to output a predicted diagnosis and the model confidence in minutes.
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