Current direct real time streaming implementations on the internet are limited by bandwidth consumption.  Peer-to-Peer streaming reduces server bandwidth requirements, but it is vulnerable to delay and reliability issues that multiply as the network scales in size.  Current Peer-to-Peer streaming implementations do not scale well and are not robust  This scalable Peer-to-Peer protocol uses an elegant network formation and maintenance algorithm that minimizes the issues of peer churn, bum peers, and delay, providing for maximum theoretical scaling. 

A novel app that provides a visualization for health care providers and educators to use with patients. It will show values of A1c, blood pressure, and LDL-cholesterol relative to goals using a thermometer scale.

Researchers at the University of Illinois at Chicago have developed a downloadable digital application (App) that is designed to aid clinicians and dementia care professionals in behavioral management of dementia in older adults. This App is an evidence based treatment algorithm that is designed to be downloaded to iOS and Android devices as a portable aid to clinicians in determining appropriate treatment options for those affected by dementia. Specifically, the App takes the user through a series of questions based on the behavior of the patient in order to determine treatment options.

In ubiquitous and context aware computing, understanding the mobility of a client from sensor data is an important area of research. The transportation mode, such as stair, escalator, elevator, car, bus, aboveground train, or walk denotes some characteristics of the mobile user’s context. With knowledge of a traveler’s transportation mode, targeted and customized advertisements may be sent to the traveler’s device.

UIC Scientists have designed an automated chemical structure dereplication software capable of identifying the chemical structure of an unknown molecule from raw NMR data using dereplication and data mining principles. The dereplication tool provides information about chemical shifts of methyl groups within the triterpenoid family of molecules. This software provides a standardized model for naming the compounds based on the structure and variation to the methyl group location including members of the cycloartane triterpenes family.

UIC Scientists have designed an automated chemical structure dereplication software capable of identifying the chemical structure of an unknown molecule from raw NMR data using dereplication and data mining principles. The dereplication tool provides information about chemical shifts of methyl groups within the triterpenoid family of molecules. This software provides a standardized model for naming the compounds based on the structure and variation to the methyl group location including members of the cycloartane triterpenes family.

UIC Scientists have designed an automated chemical structure dereplication software capable of identifying the chemical structure of an unknown molecule from raw NMR data using dereplication and data mining principles. The dereplication tool provides information about chemical shifts of methyl groups within the triterpenoid family of molecules. This software provides a standardized model for naming the compounds based on the structure and variation to the methyl group location including members of the cycloartane triterpenes family.

UIC Scientists have designed an automated chemical structure dereplication software capable of identifying the chemical structure of an unknown molecule from raw NMR data using dereplication and data mining principles. The dereplication tool provides information about chemical shifts of methyl groups within the triterpenoid family of molecules. This software provides a standardized model for naming the compounds based on the structure and variation to the methyl group location including members of the cycloartane triterpenes family.