Imagine a dairy cow standing quietly in a shed. To the farmer, everything may appear perfectly normal—the cow is eating, walking and producing milk as usual. Yet beneath this seemingly healthy exterior, subtle changes may already be unfolding. Feed intake may have declined slightly, rumination may have become shorter, movement may have changed, or body temperature may be beginning to rise. These small deviations are often too subtle to be noticed until the disease becomes clinically apparent.

What if technology could hear the earliest whispers of disease before they became visible?What if a computer could continuously monitor an animal, learn what is normal for that individual, and alert the farmer or veterinarian when subtle changes occur? This is the promise of the emerging concept of the digital twin in veterinary medicine. A digital twin is a dynamic digital representation of a real-world animal, continuously updated using data from sensors, cameras, farm records, environmental conditions, production parameters and biological measurements. The goal is not simply to create a virtual image of an animal, but a living digital profile that reflects its changing health, behaviour and physiological state—potentially helping veterinarians detect disease before visible signs appear.

From a real animal to its virtual counterpartEvery animal has its own normal rhythm. A cow develops characteristic patterns of feeding, rumination, movement, resting and milk production. Modern sensors can capture these patterns continuously—wearables can track activity and rumination, cameras can monitor posture and gait, and automated milking systems can record milk yield and composition. When this information is combined with an animal’s age, breed, health history, nutrition and environmental conditions, artificial intelligence can analyse the........

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