The development of disease surveillance and outbreak detection algorithms has become central to public health strategies worldwide. These systems integrate advanced statistical methods and ...

Gathering information on manual surveillance and clinical practices related to surgical site infections, or SSIs, can lead to the development of algorithms for semiautomated surveillance of these ...

HIV rapid testing algorithms (RTAs) using any two orthogonal rapid tests (RTs) allow for on-site confirmation of infection. RTs vary in performance characteristics therefore the selection of RTs in an ...

The intelligence community’s research arm wants to train algorithms to track people across sprawling video surveillance networks, and it needs more data to do it. The Intelligence Advanced Research ...

Nathan W. Furukawa, Dawn K. Smith, Charles J. Gonzalez, Ya-Lin A. Huang, David B. Hanna, Uriel R. Felsen, Weiming Zhu, Julia H. Arnsten and Viraj V. Patel Objective: Daily tenofovir disoproxil ...

The U.S. intelligence community’s research arm wants to train algorithms to track people across sprawling video surveillance networks, and it needs more data to do it. The Intelligence Advanced ...

Aldoria and Look Up Space, two French startups offering space surveillance services, are developing artificial intelligence (AI) algorithms to draw useful information from vast amounts of data. As low ...

Following the rise in mass shootings, schools, hospitals and other public places are installing tech to monitor people. Part of this effort includes using algorithm-equipped microphones to capture ...

Remote-monitoring and surveillance tools could devastate employee relations unless efforts are made to put more power into the hands of workers, the author of a report by the European Commission's ...