Abstract: Systems and methods for computing a causal uplift in performance of an output action for one or more treatment actions in parallel are described herein. In an embodiment, a server computer receives interaction data for a particular period of time which identifies a plurality of users and a plurality of actions that were performed by each user of the plurality of users through a particular graphical user interface during the particular period of time. The server computer uses the interaction data to generate a feature matrix of actions for each user, and a set of confounding variables included to minimize spurious correlations. The feature matrix is then used to train a machine learning system, using data identifying a user's performance or non-performance of each action as inputs and data identifying performance or non-performance of a target output action as the output.

Abstract: A prosthetic heart valve includes a valve frame defining an aperture that extends along a central axis and a flow control component mounted within the aperture. The valve frame includes a distal anchoring element and a proximal anchoring element. The valve frame has a compressed configuration to allow the valve to be delivered to a heart of a patient via a delivery catheter. The valve frame is configured to transition to an expanded configuration when released from the delivery catheter. The valve is configured to be seated in a native annulus when the valve frame is in the expanded configuration. The distal and proximal anchoring elements configured to be inserted through the native annulus prior to seating the valve. The proximal anchoring element is ready to be deployed subannularly or is optionally configured to be transitioned from a first configuration to a second configuration after the valve is seated.

Abstract: A side-deliverable prosthetic valve includes an outer frame, a flow control component mounted within the outer frame, and an anchoring element coupled to a distal side of the outer frame. The prosthetic valve is foldable along a longitudinal axis and compressible along a central axis to a compressed configuration for side delivery via a delivery catheter and is expandable to an expanded configuration when released from the delivery catheter. An end portion of the anchoring element is configured to engage a guide wire. The anchoring element is extended during deployment to allow the anchoring element to capture at least one of native leaflet or chordae and, in response to the guide wire being disengaged from the end portion, transitions to a folded configuration to secure at least one of the native leaflet or the chordae between the anchoring element and the distal side of the outer frame.

Abstract: A prosthetic heart valve includes a valve frame defining an aperture that extends along a central axis and a flow control component mounted within the aperture. The valve frame includes a distal anchoring element and a proximal anchoring element. The valve frame has a compressed configuration to allow the valve to be delivered to a heart of a patient via a delivery catheter. The valve frame is configured to transition to an expanded configuration when released from the delivery catheter. The valve is configured to be seated in a native annulus when the valve frame is in the expanded configuration. The distal and proximal anchoring elements configured to be inserted through the native annulus prior to seating the valve. The proximal anchoring element is ready to be deployed subannularly or is optionally configured to be transitioned from a first configuration to a second configuration after the valve is seated.

Abstract: A side-deliverable prosthetic valve includes an outer frame, a flow control component mounted within the outer frame, and an anchoring element coupled to a distal side of the outer frame. The prosthetic valve is foldable along a longitudinal axis and compressible along a central axis to a compressed configuration for side delivery via a delivery catheter and is expandable to an expanded configuration when released from the delivery catheter. An end portion of the anchoring element is configured to engage a guide wire. The anchoring element is extended during deployment to allow the anchoring element to capture at least one of native leaflet or chordae and, in response to the guide wire being disengaged from the end portion, transitions to a folded configuration to secure at least one of the native leaflet or the chordae between the anchoring element and the distal side of the outer frame.

Abstract: Systems and methods for computing a causal uplift in performance of an output action for one or more treatment actions in parallel are described herein. In an embodiment, a server computer receives interaction data for a particular period of time which identifies a plurality of users and a plurality of actions that were performed by each user of the plurality of users through a particular graphical user interface during the particular period of time. The server computer uses the interaction data to generate a feature matrix of actions for each user, and a set of confounding variables included to minimize spurious correlations. The feature matrix is then used to train a machine learning system, using data identifying a user's performance or non-performance of each action as inputs and data identifying performance or non-performance of a target output action as the output.

Abstract: Described are systems and methods to provide agnostic sensor data obtained from a sensor and transmitted to a central database by a transmitter device. In one aspect, a value sensed by a sensor component is converted at the transmitter device to an agnostic value defined by a dimensionless universal scale and offset. The agnostic value is then sent to a data acquisition database where it is converted back to the original value. This is accomplished by first providing the data acquisition database with a sensor definition of a scale and offset used to convert the sensor values in addition to any sensor indicia and other parameters to display the data acquired at the data acquisition database. The wireless sensors database and user interface are also automatically updated when a new sensor type is attached to the network utilizing configuration data that resides in the new sensor that is sent to the database on its first connection.

Abstract: Described are systems and methods to provide agnostic sensor data obtained from a sensor and transmitted to a central database by a transmitter device. In one aspect, a value sensed by a sensor component is converted at the transmitter device to an agnostic value defined by a dimensionless universal scale and offset. The agnostic value is then sent to a data acquisition database where it is converted back to the original value. This is accomplished by first providing the data acquisition database with a sensor definition of a scale and offset used to convert the sensor values in addition to any sensor indicia and other parameters to display the data acquired at the data acquisition database. The wireless sensors database and user interface are also automatically updated when a new sensor type is attached to the network utilizing configuration data that resides in the new sensor that is sent to the database on its first connection.

Abstract: Systems and methods for computing a causal uplift in performance of an output action for one or more treatment actions in parallel are described herein. In an embodiment, a server computer receives interaction data for a particular period of time which identifies a plurality of users and a plurality of actions that were performed by each user of the plurality of users through a particular graphical user interface during the particular period of time. The server computer uses the interaction data to generate a feature matrix of actions for each user, and a set of confounding variables included to minimize spurious correlations. The feature matrix is then used to train a machine learning system, using data identifying a user's performance or non-performance of each action as inputs and data identifying performance or non-performance of a target output action as the output.

Abstract: Described are systems and methods to provide agnostic sensor data obtained from a sensor and transmitted to a central database by a transmitter device. In one aspect, a value sensed by a sensor component is converted at the transmitter device to an agnostic value defined by a dimensionless universal scale and offset. The agnostic value is then sent to a data acquisition database where it is converted back to the original value. This is accomplished by first providing the data acquisition database with a sensor definition of a scale and offset used to convert the sensor values in addition to any sensor indicia and other parameters to display the data acquired at the data acquisition database. The wireless sensors database and user interface are also automatically updated when a new sensor type is attached to the network utilizing configuration data that resides in the new sensor that is sent to the database on its first connection.

Abstract: Systems and methods for computing a causal uplift in performance of an output action for one or more treatment actions in parallel are described herein. In an embodiment, a server computer receives interaction data for a particular period of time which identifies a plurality of users and a plurality of actions that were performed by each user of the plurality of users through a particular graphical user interface during the particular period of time. The server computer uses the interaction data to generate a feature matrix of actions for each user, and a set of confounding variables included to minimize spurious correlations. The feature matrix is then used to train a machine learning system, using data identifying a user’s performance or non-performance of each action as inputs and data identifying performance or non-performance of a target output action as the output.

Abstract: Described are systems and methods to provide agnostic sensor data obtained from a sensor and transmitted to a central database by a transmitter device. In one aspect, a value sensed by a sensor component is converted at the transmitter device to an agnostic value defined by a dimensionless universal scale and offset. The agnostic value is then sent to a data acquisition database where it is converted back to the original value. This is accomplished by first providing the data acquisition database with a sensor definition of a scale and offset used to convert the sensor values in addition to any sensor indicia and other parameters to display the data acquired at the data acquisition database. The wireless sensors database and user interface are also automatically updated when a new sensor type is attached to the network utilizing configuration data that resides in the new sensor that is sent to the database on its first connection.

Abstract: Described are systems and methods to provide agnostic sensor data obtained from a sensor and transmitted to a central database by a transmitter device. In one aspect, a value sensed by a sensor component is converted at the transmitter device to an agnostic value defined by a dimensionless universal scale and offset. The agnostic value is then sent to a data acquisition database where it is converted back to the original value. This is accomplished by first providing the data acquisition database with a sensor definition of a scale and offset used to convert the sensor values in addition to any sensor indicia and other parameters to display the data acquired at the data acquisition database. The wireless sensors database and user interface are also automatically updated when a new sensor type is attached to the network utilizing configuration data that resides in the new sensor that is sent to the database on its first connection.

Abstract: Described are systems and methods to provide agnostic sensor data obtained from a sensor and transmitted to a central database by a transmitter device. In one aspect, a value sensed by a sensor component is converted at the transmitter device to an agnostic value defined by a dimensionless universal scale and offset. The agnostic value is then sent to a data acquisition database where it is converted back to the original value. This is accomplished by first providing the data acquisition database with a sensor definition of a scale and offset used to convert the sensor values in addition to any sensor indicia and other parameters to display the data acquired at the data acquisition database. The wireless sensors database and user interface are also automatically updated when a new sensor type is attached to the network utilizing configuration data that resides in the new sensor that is sent to the database on its first connection.

Abstract: Systems and methods for computing a causal uplift in performance of an output action for one or more treatment actions in parallel are described herein. In an embodiment, a server computer receives interaction data for a particular period of time which identifies a plurality of users and a plurality of actions that were performed by each user of the plurality of users through a particular graphical user interface during the particular period of time. The server computer uses the interaction data to generate a feature matrix of actions for each user, and a set of confounding variables included to minimize spurious correlations. The feature matrix is then used to train a machine learning system, using data identifying a user's performance or non-performance of each action as inputs and data identifying performance or non-performance of a target output action as the output.

Abstract: A side-deliverable prosthetic valve includes an outer frame, a flow control component mounted within the outer frame, and an anchoring element coupled to a distal side of the outer frame. The prosthetic valve is foldable along a longitudinal axis and compressible along a central axis to a compressed configuration for side delivery via a delivery catheter and is expandable to an expanded configuration when released from the delivery catheter. An end portion of the anchoring element is configured to engage a guide wire. The anchoring element is extended during deployment to allow the anchoring element to capture at least one of native leaflet or chordae and, in response to the guide wire being disengaged from the end portion, transitions to a folded configuration to secure at least one of the native leaflet or the chordae between the anchoring element and the distal side of the outer frame.

Abstract: A method and system are provided for performing causal inferencing in a computationally efficient manner. In one embodiment, a computer-implemented method includes collecting user interaction data for a plurality of users, within a specified observation window. The collected data comprises a treatment observation for at least one user and an outcome observation for at least one user. Memory for a feature table is allocated, wherein a size the allocated memory is proportional to a number of features in the collected data. Feature-related values are stored in the feature table based on respective pre-treatment observation periods for each of the plurality of users. A selected number of confounders are identified from the feature table. An effect of the treatment is computed on the outcome using the selected confounders.

Abstract: A side-deliverable prosthetic heart valve includes an outer frame and a flow control component. The outer frame has a supra-annular region, a subannular region, and a transannular region therebetween. The flow control component is mounted to the outer frame such that at least a portion of the flow control component is disposed in the transannular region. The prosthetic valve has a delivery configuration for side-delivery via a delivery catheter and is expandable when the prosthetic valve is released from the delivery catheter. The subannular region of the outer frame is disposable in a first configuration as the prosthetic valve is seated in an annulus of a native heart valve and is transitionable to a second configuration after the prosthetic valve is seated in the annulus of the native heart valve.

Abstract: A delivery system for side-delivery of a prosthetic valve includes a compression device defining a lumen having a first perimeter at a proximal end that is larger than a second perimeter of the lumen at a distal end. A loading device is coupleable to the compression device and defines a lumen having substantially the second perimeter. A distal end of the loading device includes a first gate that is movable between an open state and a closed state to at least partially occlude the lumen of the loading device. A delivery device defines a lumen having substantially the second perimeter. A proximal end of the delivery device is coupleable to the distal end of the loading device and includes a second gate movable between an open state and a closed state to at least partially occlude the lumen of the delivery device.

Abstract: Described are systems and methods to provide agnostic sensor data obtained from a sensor and transmitted to a central database by a transmitter device. In one aspect, a value sensed by a sensor component is converted at the transmitter device to an agnostic value defined by a dimensionless universal scale and offset. The agnostic value is then sent to a data acquisition database where it is converted back to the original value. This is accomplished by first providing the data acquisition database with a sensor definition of a scale and offset used to convert the sensor values in addition to any sensor indicia and other parameters to display the data acquired at the data acquisition database. The wireless sensors database and user interface are also automatically updated when a new sensor type is attached to the network utilizing configuration data that resides in the new sensor that is sent to the database on its first connection.