Abstract: A patient warming system includes a control unit coupled to one or more warming devices. The control unit may control application of power to the heating elements of the warming devices. The control unit may provide hardware and/or software approaches to monitor and detect an overtemperature situation and/or fault of a given warming device.

Abstract: The disclosure includes a system and method for generating, using one or more processors, a user interface, wherein the user interface includes: a first portion associated with a location of a property of interest input by a user; a second portion associated with an image of the property of interest; a third portion associated with a climate event incidence score representing a relative probability of a first type of climate event occurring at the property of interest; a fourth portion associated with a climate event damage score representing a relative severity of damage to the property of interest were the first type of climate event to occur at the property of interest; and sending, using one or more processors, the user interface for presentation to the user.

Abstract: The present disclosure relates to methods of slowing cognitive decline in mild-to-moderate and moderate Alzheimer's disease, and other Tau pathologies, using anti-Tau antibodies. The disclosure provides first-in-class immunotherapy for use in reducing clinical decline in mild-to-moderate AD and moderate AD, in particular, significantly reducing rate of decline in cognitive capacity to a clinically meaningful extent, and significantly retaining memory. The disclosure also relates to use of anti-Tau antibodies to intercept cell-to-cell spread of pathological Tau in the brains of patients with AD or related Tauopathies.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes receiving information regarding a customer to onboard to a managed service and determining one or more relevant features from the information regarding the customer, the one or more relevant features correlated with historical onboarding times. The method also includes determining, using a machine learning (ML) model, an expected time to onboard the customer to the managed service based on the one or more relevant features.

Abstract: The present disclosure provides systems and methods for collecting multispectral images with a mobile device having a camera with an image sensor, such as a mobile phone. The systems and methods of the present disclosure control, support and power one or more light sources to emit single or multiple wavelengths of light onto an object. The system further supports and controls the camera within the mobile device to capture a series of images or video in the different or same light wavelengths and geometries. The resulting series of images may be used individually or collectively to detect and compare features in an object. This system may be used for the capture of multispectral images or video that could individually or collectively reveal features in the object that may not be visible in a single image.

Abstract: A patient warming system includes a control unit coupled to one or more warming devices. The control unit may control application of power to the heating elements of the warming devices. The control unit may provide hardware and/or software approaches to monitor and detect an overtemperature situation and/or fault of a given warming device.

Abstract: A system provides for automated image authentication and external database verification. In particular, the system may perform automatic authentication of an image by extracting data and/or metadata from the image for subsequent analysis. For instance, the extracted data and/or metadata may be compared with historical data to drive authorization processes (e.g., past instances of unauthorized activity). In some embodiments, the system may further use external databases which may be hosted by a trusted third party to perform additional authentication steps and/or verification. In this way, the system may provide a reliable and efficient way to perform authentications.

Abstract: The present disclosure provides systems and methods for collecting multispectral images with a mobile device having a camera with an image sensor, such as a mobile phone. The systems and methods of the present disclosure control, support and power one or more light sources to emit single or multiple wavelengths of light onto an object. The system further supports and controls the camera within the mobile device to capture a series of images or video in the different or same light wavelengths and geometries. The resulting series of images may be used individually or collectively to detect and compare features in an object. This system may be used for the capture of multispectral images or video that could individually or collectively reveal features in the object that may not be visible in a single image.

Abstract: Aspects of the disclosure relate to preventing unauthorized access to secured information systems using advanced biometric authentication techniques. A computing device may receive input requesting to login to a user account associated with a mobile banking application installed on the computing device. The computing device may send, to a client authentication computing platform, a first authentication request and receive, from the client authentication computing platform, one or more authentication prompt commands. The computing device then may present one or more authentication prompts and collect, from one or more linked wearable devices, one or more advanced biometrics. After validating the one or more advanced biometrics, the computing device may send, to the client authentication computing platform, authentication response data. Thereafter, the computing device may receive mobile banking user interface information and present one or more mobile banking user interfaces.

Abstract: Systems for detecting unauthorized user and controlling dynamic user interface functionality are provided. The system may receive a request to access functionality that may include login credentials of a user. The request may also include additional information associated with a computing device from which the request is received. The request and additional data may be analyzing using one or more machine learning datasets to determine whether a user requesting access is an authorized user or an unauthorized user. If the user is an authorized user, the user may be authenticated to the system an authentic user interface having enabled functionality may be generated. If the user is an unauthorized user, a decoy user interface having functionality disabled may be generated.

Abstract: A system provides for automated image authentication and external database verification. In particular, the system may perform automatic authentication of an image by extracting data and/or metadata from the image for subsequent analysis. For instance, the extracted data and/or metadata may be compared with historical data to drive authorization processes (e.g., past instances of unauthorized activity). In some embodiments, the system may further use external databases which may be hosted by a trusted third party to perform additional authentication steps and/or verification. In this way, the system may provide a reliable and efficient way to perform authentications.

Abstract: Systems for providing secure access to systems are provided. A computing device may receive a request to access functionality which may include login credentials of a user. Upon receiving the request to access functionality, the computing device may execute a scan of an area surrounding the computing device to detect any wearable devices within proximity of the computing device that are linked to the computing device. The authenticating information and, in some examples, detected, linked wearable device, may be validated. Based on the validation, authentication response data may be generated and transmitted to an authentication computing platform which may cause the authentication computing platform to validate the authentication response data and cause the computing device to connect to a client interface computing platform.

Abstract: Systems for dynamically authenticating users are provided. A system may receive a request to access functionality. In response to the received request, an authentication grid may be dynamically generated. The authentication grid may include a plurality of fields, each identifiable by a field identifier, and including one or more characters that may be used to authenticate a user. The authentication grid may be transmitted to a computing device of a user. A character for authentication may be identified by the system. In some arrangements, the system may generate a request for user input including a character appearing in the authentication grid. The user may identify the field and input the character appearing in the field. The system may receive the requested character and may compare it to the identified character for authentication. If the received character and the identified character match, functionality may be enabled. If a match does not exist, functionality may be disabled.

Abstract: Aspects of the disclosure relate to multicomputer processing and authentication of user data associated with telephone calls. A call security assessment computing platform may receive data associated with a telephone call made from a user computing device. Subsequently, the call security assessment computing platform may parse the received data to identify header information in a Session Initial Protocol (SIP) header. The platform then may analyze the header information to generate a call fingerprint for the telephone call. This call fingerprint may then be transmitted to one or more call authentication computing platforms, which return one or more call security responses that may further characterize security features of the telephone call. The call fingerprint and the call security responses may then be used to determine a call security score, which may be transmitted in a notification to a call handling system in order to adjust how the call is handled.

Abstract: Aspects of the disclosure relate to preventing unauthorized access to secured information systems using advanced biometric authentication techniques. A computing device may receive input requesting to login to a user account associated with a mobile banking application installed on the computing device. The computing device may send, to a client authentication computing platform, a first authentication request and receive, from the client authentication computing platform, one or more authentication prompt commands. The computing device then may present one or more authentication prompts and collect, from one or more linked wearable devices, one or more advanced biometrics. After validating the one or more advanced biometrics, the computing device may send, to the client authentication computing platform, authentication response data. Thereafter, the computing device may receive mobile banking user interface information and present one or more mobile banking user interfaces.

Abstract: Aspects of the disclosure relate to preventing unauthorized access to secured information systems using advanced biometric authentication techniques. A computing device may receive input requesting to login to a user account associated with a mobile banking application installed on the computing device. The computing device may send, to a client authentication computing platform, a first authentication request and receive, from the client authentication computing platform, one or more authentication prompt commands. The computing device then may present one or more authentication prompts and collect, from one or more linked wearable devices, one or more advanced biometrics. After validating the one or more advanced biometrics, the computing device may send, to the client authentication computing platform, authentication response data. Thereafter, the computing device may receive mobile banking user interface information and present one or more mobile banking user interfaces.

Abstract: Aspects of the disclosure relate to multicomputer processing and authentication of user data associated with telephone calls. A call security assessment computing platform may receive data associated with a telephone call made from a user computing device. Subsequently, the call security assessment computing platform may parse the received data to identify header information in a Session Initial Protocol (SIP) header. The platform then may analyze the header information to generate a call fingerprint for the telephone call. This call fingerprint may then be transmitted to one or more call authentication computing platforms, which return one or more call security responses that may further characterize security features of the telephone call. The call fingerprint and the call security responses may then be used to determine a call security score, which may be transmitted in a notification to a call handling system in order to adjust how the call is handled.

Abstract: A frictionless automated teller machine (ATM) computing system may include an ATM and an authentication server, a beacon device and, in some cases, a mobile device running a mobile application. The devices of the frictionless ATM computing system facilitates simplified user interaction with the ATM. As a user approaches the ATM, the mobile device may receive the beacon signal including a command to awaken the mobile application. After receipt, the mobile application may communicate an identifier to the authentication server, and the ATM may capture an image of the user. At the application server, the user image may be authenticated and confirmation returned to the ATM. After receipt of the confirmation, the ATM may prompt the user to enter an additional identifier. Upon confirmation of the additional identifier, the ATM may dispense a specified amount of currency.

Abstract: A transaction access point computing system may include an automated teller machine (ATM) or other transaction access point and an authentication server, a beacon device and, in some cases, a mobile device running a mobile application. The devices of the frictionless ATM computing system facilitates simplified user interaction with the ATM. As a user approaches the ATM, the mobile device may receive the beacon signal including a command to awaken the mobile application. After receipt, the mobile application may communicate an identifier to the authentication server, and the ATM may capture an image of the user. At the application server, the user image may be authenticated and confirmation returned to the ATM along with a unified user identifier. After confirmation of the additional identifier, the ATM may dispense a specified amount of currency.

Abstract: A frictionless automated teller machine (ATM) computing system may include an ATM, an authentication server, and a mobile device running a mobile application. The devices of the frictionless ATM computing system facilitates simplified user interaction with the ATM. As a user approaches the ATM, the user may log into the mobile device, which triggers the mobile device to send a geographic location to the authentication server. The authentication server then notifies the mobile device of a close ATM. In response, the mobile device may display a user interface screen to initiate a transaction. The ATM may be woken by the authorization server or a user input to complete the transaction causing the ATM to dispense the requested amount of currency.