The team of Colin Barry, Tatsuo Kumamoto, Edward Wang, and Lina Battikha won the Audience Choice Award for Best Demo at the IEEE-EMBS International Conference on Body Sensor Networks – Computational Medicine: Expanding Health through Sensing and AI held from November 3-5, 2025 for their demo entitled, "Oscillometric Smartphone Blood Pressure Demo." Source: LinkedIn Post
This is part of the monthly MassAITC webinar series. Abstract: This talk will highlight the results of MindMics’ recent feasibility study on non-invasive blood pressure monitoring using in-ear infrasonic signals. Dr. Barnacka will discuss how this novel technology, validated through clinical research, can be integrated into both consumer earbuds and hearing aids, creating a new class of connected health devices. The presentation will explore the underlying infrasonic science, algorithmic advances, and the broader impact on cardiovascular health, preventive care, and data-driven wellness ecosystems. Source: https://massaitc.org/2025/10/31/register-listening-to-the-heart-in-ear-infrasonic-technology-for-blood-pressure-and-beyond/
On Thursday October 30, 2025, Billion Labs Inc. was voted Best Demo by the audience at the Start-up demo showcase as part of an event put on by the Stanford Wearable Electronics Initiative (eWEAR). Source: LinkedIn Post
Pamela Z. Cacchione, University of Pennsylvania. Li Shen, University of Pennsylvania. Heart Failure Monitoring Socks will be used in hospitalized persons with heart failure to gather data on heart failure exacerbations and responses to treatment. We will use this data to develop predictive models for edema and fatigue due to heart failure.
Katie Seaver, The Babel Group. Rachel Khasky-Levy, The Babel Group. This project will evaluate a personalized speech recognition app built by Voiceitt for adults aged 55+ with severe dysarthria, focusing on accuracy, usability, and user satisfaction. Participants will train the app on their own speech and use it in daily life, with support from The Babel Group.
Jesse Poganik, Brigham and Women's Hospital. This pilot project leverages artificial intelligence and advanced aging biomarkers to identify existing FDA-approved medications that may slow biological aging, using clinical data and biospecimens from over 155,000 participants in the Mass General Brigham Biobank. By focusing on approved drugs with established safety profiles, this approach enables rapid translation of findings into clinical practice for promoting healthy aging and preventing age-related diseases.
Eun Kyoung Choe, University of Maryland-College Park. This pilot develops Aidara, an AI-powered digital health system that helps caregivers of individuals with cognitive impairments make safer over-the-counter medication decisions. Through multimodal interaction and personalized guidance, Aidara aims to support informed decision-making and reduce medication-related risks.