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,...

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...

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...

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...

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....

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...

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...