Abstract: A server obtains a natural language query from a first user device. The server matches an intent to the natural language query using an intent matching engine. The intent represents predicted data associated with the natural language query. The server transmits the natural language query and the intent to a second user device. The server receives, from the second user device, a response indicating whether the natural language query is properly matched to the intent. The server trains the intent matching engine based on a machine learning technique and the response.

Abstract: A method including receiving, at a mobile device, a request to provision a first geofence. The first geofence has a first predicted duration that expires before a second predicted geofence is provisioned by the mobile device. Provisioning the first geofence and the second predicted geofence together consume a first amount of power. The method also includes determining a predictive geofence radius based on a predicted speed of the mobile device. The method also includes provisioning a first predictive geofence having the predictive geofence radius and further having a second predicted duration that is different than the first predicted duration and that expires before a second predictive geofence is provisioned by the mobile device. Provisioning the first predictive geofence and the second predictive geofence together consume a second amount of power, the second amount of power less than the first amount of power.

Abstract: A method for determining location based on nearby devices includes receiving a broadcast message from a proximate device over a wireless personal area network, triggering an event that requires recording location data and time data, and establishing a connection over the wireless personal area network to the proximate device. The method further includes requesting proximate location data from the proximate device over the connection with a user device location request and receiving the proximate location data from the proximate device in a proximate device location response.

Abstract: A method including receiving, at a mobile device, a request to provision a first geofence. The first geofence has a first predicted duration that expires before a second predicted geofence is provisioned by the mobile device. Provisioning the first geofence and the second predicted geofence together consume a first amount of power. The method also includes determining a predictive geofence radius based on a predicted speed of the mobile device. The method also includes provisioning a first predictive geofence having the predictive geofence radius and further having a second predicted duration that is different than the first predicted duration and that expires before a second predictive geofence is provisioned by the mobile device. Provisioning the first predictive geofence and the second predictive geofence together consume a second amount of power, the second amount of power less than the first amount of power.

Abstract: A method for determining location based on nearby devices includes receiving a broadcast message from a proximate device over a wireless personal area network, triggering an event that requires recording location data and time data, and establishing a connection over the wireless personal area network to the proximate device. The method further includes requesting proximate location data from the proximate device over the connection with a user device location request and receiving the proximate location data from the proximate device in a proximate device location response.

Abstract: A method including receiving, at a mobile device, a request to provision a first geofence. Geolocation hardware on the mobile device determines a current position of the mobile device. Roads are identified within a predetermined number of turns of the current position. Corresponding speed limits applicable to the roads within the predetermined number of turns are retrieved. A predicted average speed of the mobile device is determined by averaging the corresponding speed limits A predictive geofence radius is determined based on the predicted average speed. A first predictive geofence having the predictive geofence radius is provisioned. The first predictive geofence has a third predicted duration before a second predictive geofence is provisioned by the mobile device. Provisioning the first predictive geofence and the second predictive geofence together consume less power than provisioning geofences without prediction.

Abstract: Embodiments are directed to methods for representing cell content of a tissue sample. One method includes identifying a pixel in a digital image of a tissue sample. The identified pixel is mapped to a portion of the tissue sample. A first data set is accessed representing a genomics analysis of nucleic acids that are separated from tissue proteins in the tissue sample. A second data set is also accessed representing a proteomic analysis of proteins that were separated from the nucleic acids of the tissue sample. The data sets are mapped to a renderable attribute, so that the renderable attribute has a specified value based on the mapped data sets. Then, a portion of a representation is rendered for the identified pixel, according to the specified value of the renderable attribute. The representation includes an indication of how the separated nucleic acids and proteins are distributed within the tissue sample.

Abstract: Methods of isolating nucleic acid and protein molecules from a single formalin-fixed, paraffin-embedded (FFPE) tissue sample section include lysing the cells of the tissue sample section, alkylating, reducing, and enzymatically digesting proteins in the lysate, and separating nucleic acids present in the lysate from the digested proteins. Cell lysis is performed under conditions that permit extraction of DNA, RNA, and proteins that are suitable for genomic and proteomic analysis. In particular, the buffer conditions, reaction time, and temperature of the lysis reaction are such that a suitable amount of DNA, RNA, and proteins are released and in stable condition for separation and proteogenomic analysis. Systems for performing methods include reagents and apparatus for performing steps of the method. Panels for detecting the presence and level of expression of peptides to differentiate between disease states include a plurality of peptides.