Abstract: In implementations, a divergence from a pattern of detected instances of an event is identified, where the event is of a routine of a user. The identified divergence corresponds to an out of routine event. Contextual information is generated corresponding to the identified out of routine event. Furthermore, one or more recommended actions for presenting content to the user are selected based on the contextual information. An indication of the identified out of routine event, the contextual information, and the one or more recommended actions are provided to a service, which may be an application on a user device. The service can present content to the user based on the identified out of routine event, the generated contextual information corresponding to the identified out of routine event, and the selected one or more recommended actions. The service may follow or disregard any of the selected one or more recommended actions.

Abstract: One or more techniques and/or systems are provided for providing and/or applying privacy preferences for an entity. A multimedia device, such as a mobile phone, may capture multimedia content associated with an entity (e.g., a photo of a person at a restaurant). The multimedia device may identify a privacy preference for the entity. In an example, the person may be wearing a privacy object that may be recognized as corresponding to the privacy preference. In another example, a device associated with the person may emit a signal that may specify a privacy preference for the person and/or may be used by the multimedia device to identify the person (e.g., the identity may be used to query a service to obtain a privacy preference specified for the person). The privacy preference may be applied to the multimedia content (e.g., a no photography privacy preference, a no tagging privacy preference, etc.).

Abstract: Neutropenia is the dose-limiting toxicity of the tri-weekly docetaxel (Taxotere®) schedule. Here, we evaluate in Metastatic Breast Cancer (MBC) patients (N=38) a computerized method for predicting docetaxel-induced neutropenia, and use the model to identify improved docetaxel and Granulocyte Colony Stimulating Factor (G-CSF) regimens. Pharmacokinetics/pharmacodynamics (PK/PD) models were created and simulated concomitantly with a mathematical granulopoiesis model. Individual baseline neutrophil counts and docetaxel schedules served as inputs. Our trial validated the model accuracy in predicting nadir timings (r=0.99), grade 3/4 neutropenia (86% success) and neutrophil profiles (r=0.62). Model was robust to CYP3A-induced variability, except for slightly less accurate grade 3/4 neutropenia predictions.