Samsung Electronics Co., Ltd.

Garima Agarwal

Ciaran Thomas Rochford

Ajit Shyamsunder Bopardikar

Taejin Ahn

Srikanth Rama Mallavarapu

Provided are methods and devices for mutation prioritization, which are helpful in personalized therapy of a patient. Also, provided are methods and devices for generating a disease knowledgebase. Information present in various categories of knowledge sources with respect to a particular association of &#x3c;Disease, Gene, Mutation&#x3e; set may be identified. The identified information is ranked with respect to the disease knowledgebase to find out the most relevant ones for the treatment of a particular Disease/Gene/Mutation of a patient, thereby enabling medical experts to personalize a therapy to be administered to a patient.

Method and device for mutation prioritization for personalized therapy

The present disclosure relates generally to systems and methods for a mobile advertising and content caching mechanism for mobile devices and a method for using such a mechanism. In one example, the method includes monitoring a mobile device for activity indicating user interest in an advertising area. The method detects an application launch request corresponding to the monitored activity and intercepts the application launch request. The method provides multimedia advertising content to an output component of the mobile device, and launches the application corresponding to the application launch request after the multimedia advertising content has finished playing on the output component.

Mobile advertising and content caching mechanism for mobile devices and method for use thereof

A system for selecting customized content for a user device is provided. The system includes a processor and an information extractor that, when executed by the processor, is configured to obtain at least one keyword from analyzing data entered into the user device. The system includes a behavioral engine that, when executed by the processor, is configured to obtain at least one keyword from analyzing a behavior of a user of the user device. The system also includes a keyword manager that, when executed by the processor, is configured to receive at least two keywords from the information extractor and/or the behavioral engine and to analyze the at least two keywords to obtain a prioritized list of keywords and to provide the prioritized list of keywords to a component that is configured to select customized content for the user device based on the prioritized list of keywords.

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Santa Clara, CA, United States of America

Garima Agarwal