Artificial Intelligence and Big Data Analytics for Biodefence: Implications on the Capability for Threat Assessment And Biosurveillance

Automated biosurveillance is promising in terms of both improving public health response to natural disease outbreaks and minimizing potential casualties from the utilization of biological weapons. 

Activity Monitoring Could Predict BRD

Researchers with Texas A&M University recently conducted a trial using electronic accelerometers attached to the legs of 364 high-risk feedyard calves in four research blocks. At the same time, trained animal-health-care personnel regularly observed the calves and recorded clinical illness scores and depression scores as indicators of bovine respiratory disease (BRD).