Abstract: Disclosed herein, inter alia, are compositions and methods for targeting E3 ligases. In an aspect is a targeted protein degrader including 1) a targeted protein binder and 2) an E3 Ubiquitin ligase binder, wherein the E3 Ubiquitin ligase is human RNF4 or human RNF114. In an aspect is provided a pharmaceutical composition including a compound as described herein, including embodiments, and a pharmaceutically acceptable excipient.

Abstract: A biostimulator, such as a leadless cardiac pacemaker, having a flexible circuit assembly, is described. The flexible circuit assembly is contained within an electronics compartment between a battery, a housing, and a header assembly of the biostimulator. The flexible circuit assembly includes a flexible substrate that folds into a stacked configuration in which an electrical connector and an electronic component of the flexible circuit assembly are enfolded by the flexible substrate. An aperture is located in a fold region of the flexible substrate to allow a feedthrough pin of the header assembly to pass through the folded structure into electrical contact with the electrical connector. The electronic component can be a processor to control delivery of a pacing impulse through the feedthrough pin to a pacing tip. Other embodiments are also described and claimed.

Abstract: Systems and methods initiate displaying a first GUI of an integrated platform that interconnects transfer source(s) and transfer destination(s), wherein access to the integrated platform is restricted to registered users, and end user data of at least one of the transfer destination(s) are at least partially obtained from user responses to system prompts displayed via the first GUI and from user activities of user(s) of the transfer destination(s). End user data is applied to a deployed AI model to identify resource(s) available for transfer to generate a listing of the resource(s), and a probability score indicating a likelihood the user(s) will be interested is assigned to the resource(s) and sorted to prioritize highest scored resources. Display of a customized second GUI including the listing of the resource(s) is initiated.

Abstract: Methods, computer-readable media, systems, and apparatuses for determining a safest road segment for traveling between two locations are provided. In some cases, a road segment safety rating may be determined for a plurality of road segments between the two locations based on historical data associated with the road segments and/or based on driving behavior data of an operator of the vehicle. An indication of the road segment determined as being the safest may be provided to the operator of the vehicle. An actual route of travel of the vehicle may be compared to the safest route. If the actual route of travel is different from the determined safest route, the operator may be notified that an award may be earned when the determined safest route is traveled. If the actual route of travel is determined to be safer than the determined safest route, an award may be earned.

Abstract: Methods, computer-readable media, systems, and apparatuses for determining a safest road segment for traveling between two locations are provided. In some cases, a road segment safety rating may be determined for a plurality of road segments between the two locations based on historical data associated with the road segments and/or based on driving behavior data of an operator of the vehicle. An indication of the road segment determined as being the safest may be provided to the operator of the vehicle. An actual route of travel of the vehicle may be compared to the safest route. If the actual route of travel is different from the determined safest route, the operator may be notified that an award may be earned when the determined safest route is traveled. If the actual route of travel is determined to be safer than the determined safest route, an award may be earned.

Abstract: Methods, computer-readable media, systems and apparatuses for determining a safest road segment for traveling between a first location and a second location are provided. In some cases, the road segment safety rating may be determined for a plurality of road segments between the first location and the second location based on historical data associated with the road segments (e.g., accident history data, traffic volume data, etc.) and/or based on driving behavior data of the operator of the vehicle. An indication of the road segment determined as being the safest may be provided to the operator of the vehicle. An actual route of travel of the vehicle can be captured and compared to the safest route. If the vehicle has traveled the safest route, the operator may earn an award. If not, the operator may be notified that an award may be earned when an indicated safest route is traveled.

Abstract: A system for determining a subjective risk score may include a vehicle and/or a computing device associated with a user travelling within the vehicle. The computing device may receive input from the user when the user feels a sense of unease regarding a particular road segment upon which the vehicle is traveling. The system may further include a subjective risk analysis computing system that may be communicatively coupled to the computing device. The subjective risk analysis computing system may receive subjective risk information corresponding to the user's sense of unease regarding particular road segments and may process the subjective risk information to determine a subjective risk score for each of a plurality of road segments along a route. An insurance company may use this information to determine whether to adjust a quote or premium of an insurance policy.

Abstract: A system for determining a subjective risk score may include a vehicle and/or a computing device associated with a user travelling within the vehicle. The computing device may receive input from the user when the user feels a sense of unease regarding a particular road segment upon which the vehicle is traveling. The system may further include a subjective risk analysis computing system that may be communicatively coupled to the computing device. The subjective risk analysis computing system may receive subjective risk information corresponding to the user's sense of unease regarding particular road segments and may process the subjective risk information to determine a subjective risk score for each of a plurality of road segments along a route. An insurance company may use this information to determine whether to adjust a quote or premium of an insurance policy.

Abstract: A system for determining a subjective risk score may include a vehicle and/or a computing device associated with a user travelling within the vehicle. The computing device may receive input from the user when the user feels a sense of unease regarding a particular road segment upon which the vehicle is traveling. The system may further include a subjective risk analysis computing system that may be communicatively coupled to the computing device. The subjective risk analysis computing system may receive subjective risk information corresponding to the user's sense of unease regarding particular road segments and may process the subjective risk information to determine a subjective risk score for each of a plurality of road segments along a route. An insurance company may use this information to determine whether to adjust a quote or premium of an insurance policy.

Abstract: A system for determining a subjective risk score may include a vehicle and/or a computing device associated with a user travelling within the vehicle. The computing device may receive input from the user when the user feels a sense of unease regarding a particular road segment upon which the vehicle is traveling. The system may further include a subjective risk analysis computing system that may be communicatively coupled to the computing device. The subjective risk analysis computing system may receive subjective risk information corresponding to the user's sense of unease regarding particular road segments and may process the subjective risk information to determine a subjective risk score for each of a plurality of road segments along a route. An insurance company may use this information to determine whether to adjust a quote or premium of an insurance policy.

Abstract: Methods, computer-readable media, systems and apparatuses for determining a safest road segment for traveling between a first location and a second location are provided. In some cases, the road segment safety rating may be determined for a plurality of road segments between the first location and the second location based on historical data associated with the road segments (e.g., accident history data, traffic volume data, etc.) and/or based on driving behavior data of the operator of the vehicle. An indication of the road segment determined as being the safest may be provided to the operator of the vehicle. An actual route of travel of the vehicle can be captured and compared to the safest route. If the vehicle has traveled the safest route, the operator may earn an award. If not, the operator may be notified that an award may be earned when an indicated safest route is traveled.

Abstract: Methods, computer-readable media, systems and apparatuses for determining a road segment safety rating are provided. In some arrangements, the road segment safety rating may be based on historical data associated with the road segment (e.g., accident history data, traffic volume data, etc.). In other examples, the road segment safety rating may be based on historical data as well as driving behavior data of the operator of the vehicle. In some arrangements, the determined road segment safety rating may be compared to a threshold. If the road segment safety rating is below the threshold, the system may generate one or more alternate road segments or route for the driver to consider. In some examples, the road segment safety rating may be used to determine an insurance premium or one or more insurance incentives to provide to the user.

Abstract: Methods, computer-readable media, systems and apparatuses for determining a safest road segment for traveling between a first location and a second location are provided. In some cases, the road segment safety rating may be determined for a plurality of road segments between the first location and the second location based on historical data associated with the road segments (e.g., accident history data, traffic volume data, etc.) and/or based on driving behavior data of the operator of the vehicle. An indication of the road segment determined as being the safest may be provided to the operator of the vehicle. An actual route of travel of the vehicle can be captured and compared to the safest route. If the vehicle has traveled the safest route, the operator may earn an award. If not, the operator may be notified that an award may be earned when an indicated safest route is traveled.

Abstract: A system for determining a subjective risk score may include a vehicle and/or a computing device associated with a user travelling within the vehicle. The computing device may receive input from the user when the user feels a sense of unease regarding a particular road segment upon which the vehicle is traveling. The system may further include a subjective risk analysis computing system that may be communicatively coupled to the computing device. The subjective risk analysis computing system may receive subjective risk information corresponding to the user's sense of unease regarding particular road segments and may process the subjective risk information to determine a subjective risk score for each of a plurality of road segments along a route. An insurance company may use this information to determine whether to adjust a quote or premium of an insurance policy.

Abstract: A system is disclosed having a storage, a communications module for interacting with a medical measurement device, an analysis controller, and a test module that allows for the testing and evaluating of decision-support algorithms. A method for testing decision-support algorithms is disclosed having the steps of receiving into storage of a ruggedized, compact computer at least one decision-support algorithm; detecting with a communications module the initiation of a vital-sign monitoring session; receiving and storing vital-sign information into storage by the communications module; pushing the stored vital-sign information by an analysis controller to a test module running the stored at least one decision-support algorithm; and providing at least one output from the decision-support algorithm to at least one of a database and a display.

Abstract: Methods, computer-readable media, systems and apparatuses for determining a safest road segment for traveling between a first location and a second location are provided. In some cases, the road segment safety rating may be determined for a plurality of road segments between the first location and the second location based on historical data associated with the road segments (e.g., accident history data, traffic volume data, etc.) and/or based on driving behavior data of the operator of the vehicle. An indication of the road segment determined as being the safest may be provided to the operator of the vehicle. An actual route of travel of the vehicle can be captured and compared to the safest route. If the vehicle has traveled the safest route, the operator may earn an award. If not, the operator may be notified that an award may be earned when an indicated safest route is traveled.

Abstract: Methods, computer-readable media, systems and apparatuses for determining a road segment safety rating are provided. In some arrangements, the road segment safety rating may be based on historical data associated with the road segment (e.g., accident history data, traffic volume data, etc.). In other examples, the road segment safety rating may be based on historical data as well as driving behavior data of the operator of the vehicle. In some arrangements, the determined road segment safety rating may be compared to a threshold. If the road segment safety rating is below the threshold, the system may generate one or more alternate road segments or route for the driver to consider. In some examples, the road segment safety rating may be used to determine an insurance premium or one or more insurance incentives to provide to the user.

Abstract: A system is disclosed having a storage, a communications module for interacting with a medical measurement device, an analysis controller, and a test module that allows for the testing and evaluating of decision-support algorithms. A method for testing decision-support algorithms is disclosed having the steps of receiving into storage of a ruggedized, compact computer at least one decision-support algorithm; detecting with a communications module the initiation of a vital-sign monitoring session; receiving and storing vital-sign information into storage by the communications module; pushing the stored vital-sign information by an analysis controller to a test module running the stored at least one decision-support algorithm; and providing at least one output from the decision-support algorithm to at least one of a database and a display.

Abstract: A system is disclosed having a storage, a communications module for interacting with a medical measurement device, an analysis controller, and a test module that allows for the testing and evaluating of decision-support algorithms. A method for testing decision-support algorithms is disclosed having the steps of receiving into storage of a ruggedized, compact computer at least one decision-support algorithm; detecting with a communications module the initiation of a vital-sign monitoring session; receiving and storing vital-sign information into storage by the communications module; pushing the stored vital-sign information by an analysis controller to a test module running the stored at least one decision-support algorithm; and providing at least one output from the decision-support algorithm to at least one of a database and a display.

Abstract: A system is disclosed having a storage, a communications module for interacting with a medical measurement device, an analysis controller, and a test module that allows for the testing and evaluating of decision-support algorithms. A method for testing decision-support algorithms is disclosed having the steps of receiving into storage of a ruggedized, compact computer at least one decision-support algorithm; detecting with a communications module the initiation of a vital-sign monitoring session; receiving and storing vital-sign information into storage by the communications module; pushing the stored vital-sign information by an analysis controller to a test module running the stored at least one decision-support algorithm; and providing at least one output from the decision-support algorithm to at least one of a database and a display.