Abstract: Techniques for anomaly detection are described. An exemplary method includes receiving one or more requests to train an anomaly detection machine learning model using feedback-based training, the request to indicate one or more of a type of analysis to perform, a model selection indication, and a configuration for a training dataset; training the anomaly detection machine learning model according to the one or more requests using the training data; performing feedback-based training on the trained anomaly detection machine learning model; and using the retrained anomaly detection machine learning model.

Abstract: A system and method for automating and improving data extraction from a variety of document types, including both unstructured, structured, and nested content, is disclosed. The system and method incorporate an intelligent machine learning model that is designed to intelligently identify chunks of text, map the fields in the document, and extract multi-record values. The system is designed to operate with little to no human intervention, while offering significant gains in accuracy, data visualization, and efficiency. The architecture applies customized techniques including density-based adaptive text clustering, tabular data extraction based on hierarchical intelligent keyword searches, and natural language processing-based field value selection.

Abstract: A remote health monitoring system, method and device is disclosed. The systems utilize one or more sensors, data aggregation and transmission units, mobile computing devices, processing, analytics and storage (PAS) units, and a framework based on a novel location- and power-aware communication systems and analytics to notify and manage patient health. Methods to transmit data to a PAS unit through the patients' smart phone that is connected to internet, abnormality detection in the data, advanced analytical diagnostics and communication system between the health service provider (HSP) and patient are also provided. The health monitoring systems, methods and devices allows for continuous monitoring of the patient without disrupting their normal lives, provides access even in sparsely connected and remote regions which lack good healthcare facilities, allows intervention by specialized practitioners, and sharing of resource or information in the existing healthcare facilities.

Abstract: A health-monitoring system has IoT-vitals sensing nodes joined to a patient's body, sensing vital characteristics, employing wireless transmission circuitry transmitting sensed data by a short-range network, and a local gateway having wireless circuitry receiving transmitted data from the IoT-vitals sensors, software (SW) executing on a processor from a non-transitory medium, the SW processing the transmitted data received, and transmission circuitry transmitting processed data over a long-range network.

Abstract: A health-monitoring system has IoT-vitals sensing nodes joined to a patient's body, sensing vital characteristics, employing wireless transmission circuitry transmitting sensed data by a short-range network, and a local gateway having wireless circuitry receiving transmitted data from the IoT-vitals sensors, software (SW) executing on a processor from a non-transitory medium, the SW processing the transmitted data received, and transmission circuitry transmitting processed data over a long-range network.

Abstract: A remote health monitoring system, method and device is disclosed. The systems utilize one or more sensors, data aggregation and transmission units, mobile computing devices, processing, analytics and storage (PAS) units, and a framework based on a novel location- and power-aware communication systems and analytics to notify and manage patient health. Methods to transmit data to a PAS unit through the patients' smart phone that is connected to internet, abnormality detection in the data, advanced analytical diagnostics and communication system between the health service provider (HSP) and patient are also provided. The health monitoring systems, methods and devices allows for continuous monitoring of the patient without disrupting their normal lives, provides access even in sparsely connected and remote regions which lack good healthcare facilities, allows intervention by specialized practitioners, and sharing of resource or information in the existing healthcare facilities.

Abstract: The invention provides devices and associated methods for transplanting cells within the body. In some embodiments, the invention relates to the transplantation of insulin-producing cells including, for example, islet cells. In other embodiments, the cells are encapsulated prior to implantation. The encapsulation system and device optionally may contain one or more biologically active substances including, for example, an immunorepellant, an angiogenic protein, and/or a particulate oxygen generating substance.

Abstract: Methods and apparatuses are disclosed for the treatment of diabetes using artificial islets of Langerhans. In one example, the artificial islet of Langerhans include islets or stem cells (but can also include hepatocytes or even any biological cell type) encapsulated in alginate microcapsules. The microcapsules can then be shrunk to reduce dead space between the capsules and the cells by incubating at physiological human temperatures and/or alginate crosslinking in the presence of barium chloride.

Abstract: An e-learning system has a local classroom with an instructor station and a microphone and a local student station with a microphone, a remote classroom with an instructor display and a student station with a microphone, and planar displays and video cameras in each of the classrooms, the remote and local classrooms connected over a network, with a server monitoring feeds and enforcing exclusive states, such that audio and video feeds are managed in a manner that video and audio of the instructor, the local students and the first remote students, as seen and heard either directly or via speakers and displays by each of the instructor, the local students and the remote students presents to each as though all are interacting in the same room.

Abstract: An e-learning system has a local classroom with an instructor station and a microphone and a local student station with a microphone, a remote classroom with an instructor display and a student station with a microphone, and planar displays and video cameras in each of the classrooms, the remote and local classrooms connected over a network, with a server monitoring feeds and enforcing exclusive states, such that audio and video feeds are managed in a manner that video and audio of the instructor, the local students and the first remote students, as seen and heard either directly or via speakers and displays by each of the instructor, the local students and the remote students presents to each as though all are interacting in the same room.