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BRIEF DESCRIPTION
A contactless smart ring that optically tracks stress-related physiology and uses on-device AI for continuous stress monitoring.
BACKGROUND
Continuous stress monitoring could support personal wellness, workplace safety, and clinical care, but conventional electrodermal activity (EDA) sensors depend on skin-contact electrodes and...
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Uses steady-state visually evoked potentials (SSVEPs) as endogenous reference signals for cross-session EEG calibration.
Creates a subject-specific linear mapping that aligns raw EEG recordings to a common neural baseline.
Reduces the impact of session dependent recording differences to support consistent longitudinal EEG analysis.
Abstract
This...
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End-to-end spatial proteomics pipeline integrating image correction, cell segmentation, and cell phenotyping
Identifies both common and rare cell populations through semi-supervised clustering for deeper tissue characterization
Generates clinically actionable insights that can predict outcomes such as organ transplant rejection
Abstract
The inventors...
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Variance-weighted neural similarity analytics delivering noise-corrected, reproducible population spike comparisons.
Abstract
As neural recording systems have expanded in channel density and data complexity, reliably comparing population-level spike activity across trials, sessions, and subjects has remained a significant challenge. Traditional...
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Market Opportunity
Patients with implantable devices like pacemakers or defibrillators need ongoing monitoring for optimal device performance and early detection of issues. Currently, patients lack direct access to their device data and rely on clinician reviews. Existing solutions often have fragmented, confusing interfaces and limited educational...
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Software platform for interfacing with cochlear implant devices
Abstract
USC researchers have developed a platform for psychophysical research and application usages. Compatible with all current cochlear implant devices, the software provides a central interface for a variety of applications from collecting device data to performing clinical assessments....
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Efficiently view and assess high resolution images between groups of people virtually without troublesome delays or lag
Ability to easily perform general tasks on images, such as scrolling, pointing, zooming in or out, and contrast manipulation
Effectively educate and instruct medical students and trainees, and enable medical staff to safely meet...
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Diagnostics: Renal tumors
Abstract
Researchers at USC have developed a radiomics model that calculates a radiomics score to detect the probability of cancer from clinical imaging. This was successfully demonstrated with patients that presented an unknown kidney mass. USC researchers found that the radiomics score was significantly associated with...
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Bioinformatics
Personal genomics
Abstract
USC researchers have designed the first tool that bridges genomic data mining and prior cancer search knowledge. This statistical model leverages personal genomic information with a large biological database to facilitate cancer diagnostics and personalize cancer treatment.
Benefit
User-friendly tool
Facilitate...
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Bioinformatics
Personal genomics
Abstract
USC researchers have developed an integrative tool named Phenolyzer, a phenotype-based gene analyzer. Phenolyzer takes a discrete list of phenotype terms as input and generates a list of candidate genes weighted by the chance of being associated with the phenotype, even in the absence of any genotype data....
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