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Surrey AI System Promises Faster, More Accessible Rabies Testing Worldwide

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Surrey AI System Promises Faster, More Accessible Rabies Testing Worldwide

Here is what the page “Surrey AI System Promises Faster, More Accessible Rabies Testing Worldwide” contains. Researchers at the University of Surrey's Institute for People-Centered AI, working with the Animal and Plant Health Agency's Rabies and Viral Zoonoses team, have developed the world's first AI system for detecting rabies virus in cell cultures. This breakthrough could dramatically speed up diagnosis and make testing more accessible, particularly in regions where rabies remains a deadly threat. Rabies kills tens of thousands of people annually, mostly in Asia and Africa, and rapid detection is critical for timely treatment and control.

The AI system automates the analysis of cell culture samples, reducing the need for specialized expertise and expensive equipment. By leveraging machine learning, the system can identify the virus more quickly and accurately than traditional methods, which often require manual microscopic examination. The full version stays on the original page, which this listing opens directly.

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