Professor Anubhuti Goel and colleagues from the University of California, Riverside have developed a novel diagnostic tool and software program that provides a quick, objective measure of sensory issues for individuals with Autism spectrum disorders and Fragile X syndrome. This tool works by using a software application to administer a game. Based on the individual’s score at the end of the game, a diagnosis about sensory issues may be made. This technology is advantageous because it may provide an easily accessible, low cost, and safe diagnostic tool for Fragile X Syndrome and Autism that can be developed as a telehealth diagnostic tool.     

Professor Erica Heinrich and their team from the University of California, Riverside have developed a novel clinical tool that can be used for the continuous, objective prediction and monitoring of dyspnea in hospitalized and ICU patients. This tool works by using machine learning models to continuous monitor and predict bouts of dyspnea, even when patient monitoring is difficult due to sedation or other medical conditions. This technology has been tested in healthy individuals and is advantageous because it leverages non-invasive biomarkers and it is designed to overcome the subjectivity and low resolution of current methods.

Professor Kevin Kou and his team at the University of California, Riverside, in collaboration with Professor Wendong Huang's lab at City of Hope, have developed a new method for synthesizing modified versions of bersavine. Using this method, several novel bersavine compounds were synthesized. When these new compounds were tested against lymphoma cells, powerful anti-cancer effects were demonstrated. Notably, these newly synthesized analogs are more effective at inhibiting cell growth than the naturally occurring bersavine. 

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This invention provides a data-driven method to time-synchronize waveform data from conventional power quality meters. The algorithm transforms non-synchronized measurements into synchro-waveforms. This is achieved without needed expensive hardware upgrades. The method first aligns event signatures from different meters and then calculates a synchronization operator to align the entire dataset. The process unlocks the potential of advanced monitoring and analysis of existing grid infrastructure.

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