Poster Presentation: Alzheimer’s Association International Conference 2025
Title: Improving Access to Dementia Care through AI-Powered Cognitive Rehabilitation Therapy Authors: Jennifer Flexman Abstract: Forthcoming
Oral Presentation: Alzheimer’s Association International Conference 2025 – Technology And Dementia Preconference
Jennifer Flexman presented "Improving Access to Dementia Care though AI-Powered Cognitive Rehabilitation Therapy" at the Technology And Dementia Preconference during Session 5: Data Blitz.
Award: Jiani Zheng, co-founder and CPO of Butlr wins 2025 McKnight’s Women of Distinction award in the Commercial Excellence category
The technology designed by Zeng has been key in improving senior living and care operations, helping staff members effectively monitor residents through motion detection, enabling them to respond quickly to acute health risks without compromising resident privacy.Forster Stubbs, McKnight Senior Living The work of Jiani Zeng, a Chinese designer, researcher, and co-founder and chief product officer of Butlr Technologies, often takes place in the background, but the results always end up at the forefront. Thanks in part to her efforts, Butlr is the first company to fuse artificial intelligence and body heat sensing technology to provide insights into how humans use indoor space for living and working while ensuring anonymity. This technology has significant applications in the senior living and care sector and helped earn Zeng a 2025 McKnight’s Women of Distinction award in the Commercial Excellence…
Patent Awarded: AI powered mobility assessment system (No. US 12,343,138 B2)
Abstract: To assess the mobility of a user, a mobility assessment system obtains a video of a user having a plurality of video frames from a camera. The mobility assessment system generates a three-dimensional (3D) skeleton model of the user based on the plurality of video frames, and determines a range of motion of the user based on a change in position of the 3D skeleton model over the plurality of video frames. Then the mobility assessment system provides an indication of the range of motion of the user for display. Also, the mobility assessment system delivers tailored exercises and suggestions to enhance user mobility and reduce the risk of falls. Source: US-12343138-B2
Publication: Proceedings from SOUPS ’25 – Can You Walk Me Through It? Explainable SMS Phishing Detection using LLM-based Agents
Authors: Yizhu Wang, Haoyu Zhai, Chenkai Wang, Qingying Hao, Nick A Cohen, Roopa Foulger, Jonathan A Handler, and Gang Wang. Abstract To be released.
Strategic Partnership: Synseer Partners with MindMics to Deliver Real-Time Heart Health Insights Through Everyday In-ear Devices
CAMBRIDGE, MA – May 29, 2025 — synseer, a leader in personalized health optimization, has announced a strategic collaboration with MindMics, the pioneer of in-ear infrasonic hemodynography (IH). Through this partnership, Synseer will integrate the MindMics Heart Health Platform into its intelligent wellness ecosystem—bringing real-time heart health insights directly to its users. “The integration of MindMics’ Heart Health Platform is a powerful addition to synseer’s mission of enabling real-time, data-driven wellness,” said John Martino II, CEO of synseer. “Our users will now have access to high-fidelity health data that was previously only available in clinical environments—empowering smarter decisions, every day.” MindMics’ patented technology captures low-frequency acoustic biosignals from within the ear canal, enabling non-invasive tracking of vital heart health metrics—including heart rate, heart rate variability, and physiological states related to stress and recovery. These clinically…
Publication: Returning Individualized Wearable Sensor Results to Older Adult Research Participants: A Pilot Study
Authors: Shelby L Bachman, Krista S Leonard-Corzo, Jennifer M Blankenship, Michael A Busa, Corinna Serviente, Matthew W Limoges, Robert T Marcotte, Ieuan Clay, Kate Lyden Abstract Background: Wearable sensors that monitor physical behaviors are increasingly adopted in clinical research. Older adult research participants have expressed interest in tracking and receiving feedback on their physical behaviors. Simultaneously, researchers and clinical trial sponsors are interested in returning results to participants, but the question of how to return individual study results derived from research-grade wearable sensors remains unanswered. In this study, we (1) assessed the feasibility of returning individual physical behavior results to older adult research participants and (2) obtained participant feedback on the returned results. Methods: Older adult participants (N = 20; ages 67-96) underwent 14 days of remote monitoring with 2 wearable sensors. We then used a semiautomated…
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