Available Technologies

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Low-cost rapid diagnostic for COVID-19

A COVID-19 diagnostic approach, utilizing a SARS-CoV-2 binding biosensor, that allows for real-time virus detection, without the need for sample processing, ultimately leading to population-level surveillance, outbreak tracking, reduced healthcare costs, improved treatment outcomes, and saved lives. Problem: SARS-CoV-2, the virus that causes COVID-19,...

Published: 11/5/2020

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Virtual reality for low vision patients

Problem: Low vision is a significant public health problem affecting more than 3.5 million people in the US alone compromising an individuals’ sense of independence, ability to carry out daily life activities, and safety. Without retinal input, the downstream visual pathways also deteriorate. Thus, enhancement of the remaining visual function...

Published: 4/1/2020

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Mapping software that determines optimal locations for new trauma centers

Mapping software capable of calculating ideal locations for new trauma centers based upon travel time and patient accessibility to reduce travel time and increase patient access Problem: Trauma is a leading cause of death in the United States, accounting annually for tens of millions of emergency department visits and hospitalizations. Although the...

Published: 3/20/2020

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A language assessment to determine healthy (salutogenic) empathy

Researchers at Penn have developed a natural-language and social media- language based evaluation tool set for natural language (including social media posts) that provides a salutogenic empathy score Problem: Empathy refers to a variety of states and traits involving a reaction to another’s suffering. Empathy is a highly sought after trait...

Published: 2/6/2020

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Method and system for optimizing sleep

Problem: According to the National Academies and the National Institutes of Health, about 70 million people in the US suffer from chronic sleep loss or sleep disorders. In February 2016, results of a study released by the US Centers for Disease Control and Prevention (CDC) indicated more than a third of American adults are not getting enough sleep on...

Published: 2/5/2020

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Automated quantification for fast and accurate analysis of biopsy samples

Computer Aided Immunohistochemistry (COMPAI) for Rapid Analysis of Diagnostic Biopsy. Problem: Immunohistochemical (IHC) analysis is a slow process that involves manual segmentation and scoring of multiple images. Multiplied across thousands of images per study, this process is often the bottleneck for achieving faster biomarker research and diagnosis....

Published: 2/3/2020

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Physiology-independent control algorithm for an artificial pancreas

An insulin pump control system that works automatically without user input Problem: Diabetic patients can use insulin pumps to deliver insulin after a meal. Continuous glucose monitoring (CGM) systems are also used to record glucose levels throughout the day. These systems could be unified via a closed-loop control algorithm to create an artificial...

Published: 1/31/2020

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Improved detection of Acute Respiratory Distress Syndrome (ARDS)

Computer algorithm, which combines multiple factors to predict Acute Respiratory Distress Syndrome with significantly higher sensitivity.Problem: Acute respiratory distress syndrome (ARDS) represents a major cause of morbidity, mortality, and cost in intensive care units (ICUs) worldwide. Approximately 20% of all hospital admissions develop ARDS. Lung...

Published: 11/27/2018

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