Abstract: The present application provides tricyclic urea compounds that modulate the activity of the V617F variant of JAK2, which are useful in the treatment of various diseases, including cancer.

Abstract: The invention relates to an ultrasound system, in particular for cardiac monitoring, comprising a transducer array with a plurality of transducer array elements for providing ultrasound waves; a control unit, which is coupled to the transducer array, for controlling the transducer array, a data processing unit for receiving data from the transducer array and processing the received data, wherein the system further comprises at least one reference module configured for obtaining reference ultrasound data, at least one volume reconstruction module configured for reconstructing the volume of a target organ or part of a target organ, at least one selected monitoring unit configured for monitoring the volume of the target organ and/or part of the target organ. The invention further relates to a method for ultrasound imaging of a body part of a subject.

Abstract: There is disclosed a method and system for retrieving user data. The method comprises extracting attributes of a client device. The extracted attributes are stored. A browser instance is generated using the extracted attributes. The browser instance is configured to impersonate the extracted attributes. The browser instance is used to access a service provider server. The service provider server sends a request, to the user, to perform a two-factor authentication. After the user performs the two-factor authentication, the browser instance retrieves user data from the service provider server. The browser instance is then stored.

Abstract: A method that includes receiving patient-generated event data over a network from a patient device associated with a patient having an active digital therapy prescription for treating an underlying disease or disorder. The patient-generated event data is encrypted by the patient device and includes at least one timestamped event related to the active digital therapy prescription. In response to receiving the patient-generated event data, the method includes decrypting, anonymizing, and storing the anonymized patient-generated event data on memory hardware. The method further includes receiving a patient record request over the network from a healthcare provider (HCP) system that requests the patient-generated event data and includes an authentication token. In response to receiving the patient record request, the method includes retrieving and encrypting the anonymized patient-generated event data from the memory hardware using the authentication token.

Abstract: A method that includes receiving patient-generated event data over a network from a patient device associated with a patient having an active digital therapy prescription for treating an underlying disease or disorder. The patient-generated event data is encrypted by the patient device and includes at least one timestamped event related to the active digital therapy prescription. In response to receiving the patient-generated event data, the method includes decrypting, anonymizing, and storing the anonymized patient-generated event data on memory hardware. The method further includes receiving a patient record request over the network from a healthcare provider (HCP) system that requests the patient-generated event data and includes an authentication token. In response to receiving the patient record request, the method includes retrieving and encrypting the anonymized patient-generated event data from the memory hardware using the authentication token.

Abstract: A method that includes receiving patient-generated event data over a network from a patient device associated with a patient having an active digital therapy prescription for treating an underlying disease or disorder. The patient-generated event data is encrypted by the patient device and includes at least one timestamped event related to the active digital therapy prescription. In response to receiving the patient-generated event data, the method includes decrypting, anonymizing, and storing the anonymized patient-generated event data on memory hardware. The method further includes receiving a patient record request over the network from a healthcare provider (HCP) system that requests the patient-generated event data and includes an authentication token. In response to receiving the patient record request, the method includes retrieving and encrypting the anonymized patient-generated event data from the memory hardware using the authentication token.

Abstract: A power grid monitoring system for determining a cause of a lateral trouble ticket. The power grid monitoring system can determine a cause of a lateral trouble ticket in response to receiving the lateral trouble ticket. The power grid monitoring system associates a set of smart meters with a first, penultimate and last transformer downstream from a given lateral. The power grid monitoring system pings each smart meter in the set of smart meters to indicate a state of the first, penultimate and last transformers of the given lateral. Accordingly, the power monitoring system determines a cause of a lateral trouble ticket associated with the given lateral based on results of the pings to the set of smart meters associated with the first, last and penultimate transformers. The power grid monitoring system can further augment the lateral trouble ticket with information characterizing the cause of the lateral trouble ticket.

Abstract: A power grid monitoring system for determining a cause of a lateral trouble ticket. The power grid monitoring system can determine a cause of a lateral trouble ticket in response to receiving the lateral trouble ticket. The power grid monitoring system associates a set of smart meters with a first, penultimate and last transformer downstream from a given lateral. The power grid monitoring system pings each smart meter in the set of smart meters to indicate a state of the first, penultimate and last transformers of the given lateral. Accordingly, the power monitoring system determines a cause of a lateral trouble ticket associated with the given lateral based on results of the pings to the set of smart meters associated with the first, last and penultimate transformers. The power grid monitoring system can further augment the lateral trouble ticket with information characterizing the cause of the lateral trouble ticket.

Abstract: A method that includes receiving patient-generated event data over a network from a patient device associated with a patient having an active digital therapy prescription for treating an underlying disease or disorder. The patient-generated event data is encrypted by the patient device and includes at least one timestamped event related to the active digital therapy prescription. In response to receiving the patient-generated event data, the method includes decrypting, anonymizing, and storing the anonymized patient-generated event data on memory hardware. The method further includes receiving a patient record request over the network from a healthcare provider (HCP) system that requests the patient-generated event data and includes an authentication token. In response to receiving the patient record request, the method includes retrieving and encrypting the anonymized patient-generated event data from the memory hardware using the authentication token.

Abstract: A method that includes receiving patient-generated event data over a network from a patient device associated with a patient having an active digital therapy prescription for treating an underlying disease or disorder. The patient-generated event data is encrypted by the patient device and includes at least one timestamped event related to the active digital therapy prescription. In response to receiving the patient-generated event data, the method includes decrypting, anonymizing, and storing the anonymized patient-generated event data on memory hardware. The method further includes receiving a patient record request over the network from a healthcare provider (HCP) system that requests the patient-generated event data and includes an authentication token. In response to receiving the patient record request, the method includes retrieving and encrypting the anonymized patient-generated event data from the memory hardware using the authentication token.

Abstract: Techniques are disclosed for applying a multi-level introspection framework to interaction data characterizing a history of interaction of a reinforcement learning agent with an environment. The framework may apply statistical analysis and machine learning methods to interaction data collected during the RL agent's interaction with the environment. The framework may include a first (“environment”) level that analyzes characteristics of one or more tasks to be solved by the RL agent to generate elements, a second (“interaction”) level that analyzes actions of the RL agent when interacting with the environment to generate elements, and a third (“meta-analysis”) level that generates elements by analyzing combinations of elements generated by the first level and elements generated by the second level.

Abstract: A method that includes receiving patient-generated event data over a network from a patient device associated with a patient having an active digital therapy prescription for treating an underlying disease or disorder. The patient-generated event data is encrypted by the patient device and includes at least one timestamped event related to the active digital therapy prescription. In response to receiving the patient-generated event data, the method includes decrypting, anonymizing, and storing the anonymized patient-generated event data on memory hardware. The method further includes receiving a patient record request over the network from a healthcare provider (HCP) system that requests the patient-generated event data and includes an authentication token. In response to receiving the patient record request, the method includes retrieving and encrypting the anonymized patient-generated event data from the memory hardware using the authentication token.