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

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

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

Continue ReadingFunding: Pre18, parallel18’s pre-acceleration program, grant

Grant Funding: NIH Trailblazer Award

This is an R21 award for $650,000 over a period of 3 years. Their smartphone app prototype capitalizes on the handheld nature of a mobile phone and uses its built-in sensors to gauge grip strength to enhance preoperative screening for potential risks of complications post cardiac surgery. This effort will contribute to the growing portfolio of smartphone-based health monitoring solutions actively being developed by Wang and his research team. Source: https://today.ucsd.edu/story/uc-san-diego-researcher-receives-nih-trailblazer-award

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Oral Presentation: American Speech Language Hearing Association Conference – 2024

Presented " Quality Management Framework for an Automated, Phone-Based Telehealth Platform for Cognitive Rehabilitation Therapy" at the ASHA Conference in Seattle, WA on November 11, 2024 Source: https://plan.core-apps.com/asha2024/event/6a3d638ef5896a352b49fbfd8b5f1248

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Publication: Oscillometric blood pressure measurements on smartphones using vibrometric force estimation

Authors: Colin Barry, Yinan Xuan, Ava Fascetti, Alison Moore, Edward J Wang Abstract This paper proposes a smartphone-based method for measuring Blood Pressure (BP) using the oscillometric method. For oscillometry, it is necessary to measure (1) the pressure applied to the artery and (2) the local blood volume change. This is accomplished by performing an oscillometric measurement at the finger's digital artery, whereby a user presses down on the phone's camera with steadily increasing force. The camera is used to capture the blood volume change using photoplethysmography. We devised a novel method for measuring the force applied of the finger without the use of specialized smartphone hardware with a technique called Vibrometric Force Estimation (VFE). The fundamental concept of VFE relies on a phenomenon where a vibrating object is dampened when an external force is…

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