Artificial Intelligence in the Fight Against Bird Flu: New Methods for Predicting Epidemics

A recent study led by Majid Shafi in Srinagar shows new frontiers in this area. The scientists analyzed in detail the capabilities of machine learning and its contribution to veterinary practice. Processing and analyzing large volumes of various data - from epidemiological reports to climate conditions and bird migration - allows us to identify patterns and predict outbreaks long before the first clinical manifestations appear.

Several countries, including the UK and Australia, have already used AI systems to monitor diseases and migration routes, enabling early action against potential threats. While the results are promising, there are limitations, including the need for high-quality data and the potential risks of overestimating the capabilities of the technology. However, integrating AI into avian influenza surveillance systems promises to significantly improve the effectiveness of preventive measures, protecting both animals and humans from dangerous infections.