AI in Healthcare: A Powerful Tool, Not a Replacement
A new narrative review maps the growing role of artificial intelligence across the clinical continuum, from diagnostic imaging to rehabilitation, and issues a clear-eyed warning about what the technology can and cannot do.
Genetics and AI Join Forces to Fight Drug-Resistant Cattle Parasites
Parasitic worms have long been a costly and persistent challenge in cattle production. Now, researchers are turning to genomics and artificial intelligence to develop the next generation of anti-parasitic drugs as resistance to current treatments continues to grow.
CoVet's In-House Medical Team Shares AI Predictions for Veterinary Practices in 2026
CoVet, the AI CoPilot built by veterinary professionals who understand the realities of life in the clinic, today released predictions from its In-House Medical Team outlining how artificial intelligence will continue to shape veterinary practice in the year ahead.
The Future of Behavior Research Just Got a Massive Upgrade
If you trained in an era when behavioral science meant stopwatches, clipboards, and highly staged tasks, buckle up. The field is shifting fast. Advances in tracking technologies now let researchers capture ultra fine movements in freely behaving animals at sub second and millimeter scales. That means richer datasets but also a major drawback. Complex motion tracking often comes with gaps. Missing data is the enemy of clean analysis and can weaken scientific conclusions.
Texas A&M researchers use AI to identify genetic ‘time capsule’ that distinguishes species
In a groundbreaking study, scientists from the Texas A&M College of Veterinary Medicine and Biomedical Sciences (VMBS) have utilized cutting-edge artificial intelligence methods to identify a region of the X chromosome that has maintained the distinctiveness of mammal species for millions of years.
AI Adoption in Veterinary Medicine: How China and North America Compare
A recent cross-sectional study comparing artificial intelligence adoption between Chinese and North American veterinary professionals reveals striking differences in how AI is being integrated into veterinary practice across the globe. The findings challenge the notion that AI adoption follows a universal pathway and highlight the need for region-specific strategies in technology development and implementation.

