A collaborative study between animal agtech startup MyAnIML and the USDA successfully corroborated the technology's predictive ability to proactively manage devastating disease outbreaks in cattle production.

MyAnIML used proprietary facial recognition and deep learning technology to accurately predict Infectious Bovine Keratoconjunctivitis (IBK), or bovine pinkeye, 99.4% of the time and several days before veterinarians were able to detect symptoms, according to published study results.

USDA Agricultural Research Service scientists Mike Clawson and Larry Kuehn, who have researched IBK for years at the U.S. Meat Animal Research Center, shared their expertise on the project.

“Early detection of disease is critical to healthy herd management – giving producers the chance to separate sick animals, control spread and judiciously use antibiotics before a large outbreak occurs,” said Mike Clawson, an USDA Agricultural Research Service molecular biologist and project researcher. “The results of the MyAnIML study demonstrate how far and how impactful AI-powered technology can be toward ensuring a safe, resilient and sustainable U.S. food supply chain.”

The MyAnIML and USDA study included 870 beef cattle located on three different Kansas ranches during the summers of 2021 and 2022. Bovine pinkeye is highly contagious and the most common ocular disease of cattle globally, costing U.S. producers alone an estimated $150 million annually in lost performance and treatment costs. There are no effective vaccines for IBK, forcing producers to treat infected animals with antibiotics, thereby elevating the risk of developing antibiotic-resistance bacteria strains that threaten human health.

Building off this collaboration, MyAnIML and USDA are applying the technology next to predict Bovine Respiratory Disease (BRD). As the single most economically impactful cattle disease, BRD costs the U.S. feedlot industry potentially more than $900 million annually, according to the American Society of Animal Science.

“Building off our AI platform’s ability to distinguish between ‘healthy’ and ‘sick’ cattle two to three days before symptoms were diagnosed, the next step is expanding MyAnIML’s repertoire of diseases and health events to offer producers new tools to ensure a safe food supply,” said Shekhar Gupta, MyAnIML chief executive officer and founder.

MyAnIML’s patent-pending technology platform uses AI, facial recognition and inexpensive GoPro cameras to automatically capture and analyze subtle changes in a cow’s muzzle.                        

MyAnIML uses images of cow muzzles to predict impending illness days before symptoms occur. Like a human fingerprint, each cattle muzzle is unique, and can be used to track specific cows. However, MyAnIML, is the first to use muzzle dermatoglyphics to not only identify cows, but as a health predictor of diseases such as BRD, IBK, foot root and uterine infections, proving that subtle changes in the bumps and ridges on a cow muzzle are a precursor of a health event.

MyAnIML’s trial partners have also successfully used the technology to monitor the health status of cows going into estrus, early stages of labor and even subtle health stressors, like the need for more nutrition while nursing calves.

"The muzzle is an incredible mirror into cattle health and well-being. Humans just didn’t have the ability to ‘see’ what the muzzle was telling us without the help of MyAnIML’s advanced AI and facial recognition technology,” Gupta said.

Since its founding in 2021, MyAniML has:

With positive results from the collaboration, large-scale trials, veterinarian feedback and ongoing product development, MyAnIML is getting ready for broad-scale commercialization. The company received angel investment funding in 2021 and is currently in the process of a seed funding investment round to expand its technology in cattle, as well as to include other livestock and companion animals.