Abstract: This application relates to methods for assessing patient populations and determining subpopulations vulnerable to viral infection, methods of reducing the risk of infection and/or inducing heterologous immunity to said viral infection.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a surfel map to generate long range localization. One of the methods includes obtaining, for a particular location of a vehicle having a camera and a detection sensor, surfel data including a plurality of surfels. Each surfel in the surfel data has a respective location and corresponds to a different respective detected surface in an environment. Image data captured by the camera is obtained. It is determined that a region of interest for detecting objects for a vehicle planning process is outside a detectable region for the detection sensor. In response, it is determined that the image data for the region of interest matches surfel color data for the surfels corresponding to the region of interest. In response, the vehicle planning process is performed with the region of interest designated as having no unexpected objects.

Abstract: This application relates to methods for assessing patient populations and determining subpopulations vulnerable to viral infection, methods of reducing the risk of infection and/or inducing heterologous immunity to said viral infection.

Abstract: A method including receiving an input of unstructured data; extracting at least one size entity and at least one location entity from the unstructured data using a named entity recognition model; parsing dimensions of the at least one size entity; and outputting structured size data and structured location data.

Abstract: This application relates to methods for assessing patient populations and determining subpopulations vulnerable to viral infection, methods of reducing the risk of infection and/or inducing heterologous immunity to said viral infection.