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
https://www.youtube.com/watch?v=8mXoTsgEd-I Abstract: Beginning in infancy, individuals acquire the social and communication skills that are vital for a healthy and productive life. Children with autism face great challenges in acquiring these skills, resulting in substantial lifetime risks. As the neural basis for ASD is unclear, the diagnosis, treatment, and study of autism depends fundamentally on the analysis of child behavior. Standard methods for behavioral observation and coding are the backbone of research studies but are inherently coarse-grained and not easily scalable. In this talk I will present our research agenda that uses AI models and computer vision technology to automate the measurement of social behavior from video. Our goal is to unlock the rich behavioral information that is present in video and make it available for large-scale data-driven modeling and assessment. I will present several recent…
Dr. Gang Wang gave a virtual talk at Columbia University (mobile computing seminar) which highlighted this project and the prototype design. Title: Defending against Spoofing Attacks in Mobile Networks and Applications Presenter: Gang Wang (PI)
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
The company was accepted into two accelerator programs within Puerto Rico.
The underlying technology and methodology for the pilot funded device, NINscan, was awarded a patent in December 2024. Source: US 12,167,919 B2 (patentsgazette.uspto.gov)
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…