Meet the New Class of the University City Science Center’s Digital Health Accelerator

Flushable pregnancy tests, remote patient monitoring systems, augmented reality to prepare for emergency situations – these are among the seven technologies being developed by the third class of the University City Science Center’s Digital Health Accelerator (DHA).

The accepted companies include:

CareCierge is a high-tech/high-touch benefit for employees who struggle to balance work while caring for an ill or aging loved one. CareCierge empowers employee caregivers with a personalized roadmap for care coordination and a trusted advisor to talk to, thereby reducing the lost productivity and increased healthcare expenditure that costs US Businesses $47 Billion/year.

ImmERge Labs uses virtual and augmented reality to reimagine how the world prepares for emergency situations. Using disruptive technologies to improve critical skills, ImmERge Labs transforms bystanders into rescuers through applications that integrate a physical manikin with highly realistic, multi-sensory simulations that technically, emotionally, and mentally prepare one to render life-saving interventions.

LIA Diagnostics is the first-ever, flushable and biodegradable pregnancy test. Lia uses innovative materials and unique manufacturing to provide women with a discreet, battery-and-plastic-free alternative. Through DHA, Lia is planning to develop a digital application that will help facilitate purchases, further develop the Lia brand, and provide post-test education.

PainQx is a diagnostic/software company that has developed a next-generation approach to objectively measure pain in humans. The PainQx platform achieves this by assessing neural activity from a patient’s brain and processing and decoding the data through its proprietary algorithms. The output is a pain biomarker that is directly correlated to a patient’s pain state. The PainQx system is currently being used as a clinical assessment tool by companies using pain as an endpoint to measure their drug’s and device’s efficacy.

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