Abstract: Organs-on-chips are microfluidic devices for culturing living cells in micrometer sized chambers in order to model physiological functions of tissues and organs. Engineered patterning and continuous fluid flow in these devices has allowed culturing of intestinal cells bearing physiologically relevant features and sustained exposure to bacteria while maintaining cellular viability, thereby allowing study of inflammatory bowl diseases. However, existing intestinal cells do not possess all physiologically relevant subtypes, do not possess the repertoire of genetic variations, or allow for study of other important cellular actors such as immune cells. Use of iPSC-derived epithelium, including IBD patient-specific cells, allows for superior disease modeling by capturing the multi-faceted nature of the disease.

Abstract: A system that transforms electronic messages into annotated messages that include contextual information to aid a recipient in utilizing the electronic message, understanding its meaning, and responding to the message. Annotations are additions or modifications to the original message with contextual information that is related to the features and contents of the original message. Message features are extracted and used to search one or more sources of contextual information. Relevant items are retrieved and added to the message, for example as attachments, hyperlinks, or inline notes. Machine learning techniques may be used to generate or refine modules for feature extraction and information selection. Feedback components may be used to track the usage and value of annotations, in order to iteratively improve the annotation system.

Abstract: A system that transforms electronic messages into annotated messages that include contextual information to aid a recipient in utilizing the electronic message, understanding its meaning, and responding to the message. Annotations are additions or modifications to the original message with contextual information that is related to the features and contents of the original message. Message features are extracted and used to search one or more sources of contextual information. Relevant items are retrieved and added to the message, for example as attachments, hyperlinks, or inline notes. Machine learning techniques may be used to generate or refine modules for feature extraction and information selection. Feedback components may be used to track the usage and value of annotations, in order to iteratively improve the annotation system.

Abstract: A system that transforms electronic messages into annotated messages that include contextual information to aid a recipient in utilizing the electronic message, understanding its meaning, and responding to the message. Annotations are additions or modifications to the original message with contextual information that is related to the features and contents of the original message. Message features are extracted and used to search one or more sources of contextual information. Relevant items are retrieved and added to the message, for example as attachments, hyperlinks, or inline notes. Machine learning techniques may be used to generate or refine modules for feature extraction and information selection. Feedback components may be used to track the usage and value of annotations, in order to iteratively improve the annotation system.

Abstract: A system that transforms electronic messages into annotated messages that include contextual information to aid a recipient in utilizing the electronic message, understanding its meaning, and responding to the message. Annotations are additions or modifications to the original message with contextual information that is related to the features and contents of the original message. Message features are extracted and used to search one or more sources of contextual information. Relevant items are retrieved and added to the message, for example as attachments, hyperlinks, or inline notes. Machine learning techniques may be used to generate or refine modules for feature extraction and information selection. Feedback components may be used to track the usage and value of annotations, in order to iteratively improve the annotation system.

Abstract: A method for rapid design, development, deployment and support of web applications based on web services with minimum customized programming, maximized reuse of software components and compliance with standard development frameworks. The method of the invention systematically addresses the problems that are consistently encountered by web application developers by providing a generic platform that solves these problems. The invention enables developers to deliver web functionality without requiring them to understand the many technicalities of developing functionality for a distributed internet based architecture, and uses best practices to produce encapsulated, tested, quality oriented, applications based on web services.