Pilot Outcomes

Company Launch: EC Safety Technologies LLC

About Founded in 2025, EC-Safety was born with a clear purpose: to transform geriatric care through technology designed with empathy, science, and real collaboration with those on the front lines of caregiving. From the beginning, we have worked hand in hand with experts in gerontology, clinical professionals, technologists, and elder care leaders to create a platform that not only digitizes processes but also eases the operational and emotional burden faced by caregivers. This mission has led us to collaborate with prestigious institutions such as the University of Massachusetts Amherst, where researchers use EC-Safety as a technological foundation in a pioneering project supported by the Massachusetts AI & Technology Center for Aging and Alzheimer’s Disease (MassAITC), focused on improving the lives of Alzheimer's patients and their caregivers through artificial intelligence. Our technology was not born in…

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Oral Presentation: MIT Club of Northern California – AI in Healthcare at the JP Morgan Healthcare Conference

John Ralston presented on the NEURVESTA device mentioning the MassAITC pilot project work on January 14, 2025 as an featured AI startup at the AI Healthcare Event in association with the JP Morgan Healthcare Conference. Source: Event Post on MIT Club of Northern California Website

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Funding: Pre18, parallel18’s pre-acceleration program, grant

A new company founded by G. Antonio Sosa-Pascual (PI) to commercialize the technology and AI developed through this pilot project was one of 24 companies selected (out of more than 200 applicants) to join the pre18 accelerator as a recipient of a $25,000 grant. Source: News is my Business News Release

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Publication: Predicting Orthostatic Symptoms Using a Multiparameter Wearable Sensor

Authors: Ziad A Elhajjaji, Amar S Basu Abstract Orthostatic disorders affect 30% of older adults and increase the risk for falls. The current diagnostic standard, the blood pressure cuff, cannot capture the rapid, multifaceted dynamics of orthostasis physiology, resulting in frequent underdiagnosis. This paper demonstrates multiparameter, real-time measurement of orthostasis using TRACE, an earlobe mounted wearable developed in our group. In prior work, we demonstrated a novel metric called orthostatic hypovolemia (OHV1), the initial loss in cephalic (head) blood volume immediately upon standing. This study significantly advances our prior work by introducing an additional 2 metrics: OHV2, the cephalic blood volume deficit after the body achieves homeostasis after standing; and postural orthostatic tachycardia (POT), the increase in heart rate. The 3 metrics were evaluated in 101 older adults who wore the TRACE device during postural…

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