Abstract: One embodiment is a multi-analyte molecular sensing system designed for implantation in a body of a subject, the sensing system including an implant comprising a flexible substrate having a plurality of electronics systems disposed thereon; a sensor array comprising multiple sensors disposed on the flexible substrate; a sensor protection mechanism for providing selective protection and exposure of one or more of the sensors; a power system for providing power to the electronics systems; a data communication system for communicating with one or more external devices; and a biocompatible housing for protecting the implant.

Abstract: The present invention relates to systems, devices, kits, and methods employing liquid activated devices and systems. In certain embodiments, the liquid activated devices comprise a base substrate and a chamber sealing system (CSS) and/or a sealed reservoir system (SRS). In some embodiments, the CSS is sealed inside the reservoir of the SRS by a liquid degradable membrane. In particular embodiments, a liquid (e.g., saliva) un-seals the reservoir exposing the CSS, which seals the micro-chamber therein upon exposure to the liquid (e.g., trapping some of the liquid in the micro-chamber for analysis).

Abstract: Disclosed are methods and systems for generating cure actions for improving a level of user engagement of a network. In some aspects, a method includes identifying network interaction relationships among a plurality of accounts of a computer network based on communication flows among the accounts, and tracking a level of engagement health of each of the accounts based on the interaction relationships over time. For each of the accounts, a determination is made as to whether the tracked level of engagement health meets a threshold requirement. For an account having a level of engagement health not meeting the threshold requirement, a cure action is selected based on one or more rules relating the tracked level of engagement health of the account to one or more predefined criteria. The cure action is then applied to the account.

Abstract: Disclosed in some examples are technical solutions to the existing technical problems in computer-implemented identification of anomalous events for distributed unstructured data existing in current supervised and unsupervised approaches. The anomaly detection system may use one or more unsupervised approaches that factor in small data sets using a volume-based time-invariant model. In some examples, in addition, a cross-category proportionality based model may also be utilized.

Abstract: A retained object tag, and a method of detecting the presence of a retained object or the retained object tag in a medical image. The method can include different steps such as identifying one or more potential sites in the medical image where the retained object or retained object tag may be present. The method can also include analyzing one or more features of the identified potential site against one or more predetermined properties of the retained object or the retained object tag. And the method can include determining whether the identified potential site is a retained object or a retained object tag based in part or more upon the analyzed feature.

Abstract: Bugs/events that are reported by both users and the product are used to build an estimation model that relates the frequency/amount of received user bug reports to the number of products that are known to have the bug (as reported by the deployed products themselves.) This estimation model is then used to estimate the impact of bugs that are only discovered via user (i.e., free-form, unstructured) bug reports. In addition, the discovery of a bug via only user bug reports can be used to improve the data reported by the deployed products such that more information can be gathered about the nature and/or impact of the bug.

Abstract: A retained object tag, and a method of detecting the presence of a retained object or the retained object tag in a medical image. The method can include different steps such as identifying one or more potential sites in the medical image where the retained object or retained object tag may be present. The method can also include analyzing one or more features of the identified potential site against one or more predetermined properties of the retained object or the retained object tag. And the method can include determining whether the identified potential site is a retained object or a retained object tag based in part or more upon the analyzed feature.