News & Events

Publication: Capturing Measures That Matter: The Potential Value of Digital Measures of Physical Behavior for Alzheimer’s Disease Drug Development

Authors: Shelby L. Bachman, Jennifer M. Blankenship, Michael Busa, Corinna Serviente, Kate Lyden, and Ieuan Clay Abstract Alzheimer's disease (AD) is a devastating neurodegenerative disease and the primary cause of dementia worldwide. Despite the magnitude of AD's impact on patients, caregivers, and society, nearly all AD clinical trials fail. A potential contributor to this high rate of failure is that established clinical outcome assessments fail to capture subtle clinical changes, entail high burden for patients and their caregivers, and ineffectively address the aspects of health deemed important by patients and their caregivers. AD progression is associated with widespread changes in physical behavior that have impacts on the ability to function independently, which is a meaningful aspect of health for patients with AD and important for diagnosis. However, established assessments of functional independence remain underutilized in…

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Publication: Ultra-low-cost mechanical smartphone attachment for no-calibration blood pressure measurement

Authors: Yinan Xuan, Colin Barry, Jessica De Souza, Jessica H Wen, Nick Antipa, Alison A Moore, Edward J Wang Abstract We propose an ultra-low-cost at-home blood pressure monitor that leverages a plastic clip with a spring-loaded mechanism to enable a smartphone with a flash LED and camera to measure blood pressure. Our system, called BPClip, is based on the scientific premise of measuring oscillometry at the fingertip to measure blood pressure. To enable a smartphone to measure the pressure applied to the digital artery, a moveable pinhole projection moves closer to the camera as the user presses down on the clip with increased force. As a user presses on the device with increased force, the spring-loaded mechanism compresses. The size of the pinhole thus encodes the pressure applied to the finger. In conjunction, the brightness…

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Past Webinar – Developing Useful and Usable Health Technologies for Older Adults Through User-centered Design, Pedja Klasnja

https://youtu.be/UnOF4u6fJgA?si=5N88WA9xdH7XPESb Abstract: Designing health technologies for older adults presents unique challenges that extend beyond technical feasibility to encompass behavioral, social, and ethical considerations. In this talk, Dr. Pedja Klasnja explores how user-centered design (UCD) methods can address the “wicked problems” inherent in developing interventions for this population. He illustrates how UCD’s iterative and participatory approach enables teams to co-create solutions that are meaningful and adaptable to older adults’ diverse needs and circumstances. The presentation highlights two key design tools—personas and scenarios—as powerful frameworks for translating user research into actionable design decisions. Personas synthesize data about user groups, motivations, and constraints, helping design teams recognize and accommodate heterogeneity within older adult populations. Scenarios build on this foundation by envisioning how individuals might interact with technologies in real-world contexts, uncovering potential usability issues, privacy concerns, and unintended…

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New Product Launch: MindMics Heart Health System

Cambridge, Massachusetts--(Newsfile Corp. - May 12, 2023) - Today, MindMics, Inc. is pleased to announce it has launched its limited edition MindMics Heart Health System. The system uses patented and clinically validated sound-based technology known as In-ear Infrasonic HemodynographyTM (IH), embedded in everyday earbuds, to detect heart rate (HR) and heart rate variability (HRV) in real-time, and guides the user through breathing exercises to control their heart and master stress. By using sound to measure key biometrics, MindMics overcomes the challenges faced by wearables that use photoplethysmography (PPG) light technology. Factors like skin tone, skin thickness, perspiration and body mass can severely impact the accuracy of PPG readings. With MindMics, key organs like the heart are monitored through low-frequency acoustical vibrations detected in the ear canal. MindMics' IH delivers HR and HRV in real-time with a…

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Past Webinar – Opportunities for Clinical Research Using a Digital, Decentralized Study Approach, Edward Ramos

https://youtu.be/FXBL5xMj9ig?si=0ujyIT1f6y8sExZX Abstract: Clinical trials are the workhorse of testing new treatments with regards to evaluating the effect they have on health outcomes. Traditional clinical trials and clinical research studies are often centralized around a specific physical location such as a clinic or hospital and rely heavily on a “high-touch”, in-person approach with study staff and coordinators. The downstream effects can have a negative impact on recruitment from populations not affiliated with the site despite potentially benefiting the most from the proposed research. Decentralizing the model and designing for the participant to meet them where they are provides a new paradigm. The advent and continued advance of digital health technologies has added considerable flexibility in the types of research questions that can be asked and answered. Biography: Edward Ramos, PhD, Chief Scientific Officer at CareEvolution; Director…

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Past Webinar – Data Mining a Human Digital Twin, Diane J. Cook

https://www.youtube.com/watch?v=DPkrI7U3QMI Abstract: In this webinar, Dr. Diane Cook (Washington State University) introduces the concept of digital twins as a powerful framework for modeling the health, behavior, and environmental context of older adults in real time. Drawing from years of research in smart homes and pervasive computing, Dr. Cook explains how sensor-based monitoring can be used to build personalized digital representation, i.e. “twins" of individuals, enabling proactive support for aging in place. This talk outlines the components and lifecycle of a digital twin, including data streams from ambient sensors, activity recognition, anomaly detection, and health trajectory modeling. Dr. Cook highlights applications in detecting changes in daily routines, predicting health risks, and informing interventions before crises occur. She shares findings from longitudinal studies, discusses the potential for integrating AI with environmental and behavioral data, and emphasizes the…

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