#1 – Detecting Pre-Frailty and Frailty Using Free-Living Activity Monitoring from a Thigh-Worn Sensor
Andrew Song, Clinical Research Associate, Marcus Institute for Aging Research, Hebrew SeniorLife.
Publication: Replicable Bandits for Digital Health Interventions
Authors: Kelly W Zhang, Nowell Closser, Anna L Trella, Susan A Murphy Abstract Adaptive treatment assignment algorithms, such as bandit algorithms, are increasingly used in digital health intervention clinical trials. Frequently the data collected from these trials is used to conduct causal inference and related data analyses to decide how to refine the intervention, and whether to roll-out the intervention more broadly. This work studies inference for estimands that depend on the adaptive algorithm itself; a simple example is the mean reward under the adaptive algorithm. Specifically, we investigate the replicability of statistical analyses concerning such estimands when using data from trials deploying adaptive treatment assignment algorithms. We demonstrate that many standard statistical estimators can be inconsistent and fail to be replicable across repetitions of the clinical trial, even as the sample size grows large.…
Past Webinar – Advancing Fair & Effective AI for Older Adults
https://www.youtube.com/watch?v=67St-zDEzjk Abstract: Artificial intelligence holds promise to transform care for older adults, yet today’s AI systems routinely underperform for this population due to poor data representation, limited validation, and weak alignment with lived experience. Drawing on a six-month collaboration between the SCAN Foundation, CHAI will be synthesizing evidence from literature review, expert interviews, and multi-stakeholder roundtables to surface why AI fails older adults—and what must change. They will outline practical pathways for building equitable AI, including multimodal data integration, standardized validation, local testing, and patient-centered deployment. The talk concludes with a roadmap for developing trustworthy AI that meaningfully improves outcomes for aging populations. Biography: Lucy Orr-Ewing, Head of Policy & Strategy, Coalition for Health AI (CHAI) Lucy Orr-Ewing leads Policy and Research for CHAI, where she leads policy engagement at both the state and federal…
Publication: Kinematic correlates of early speech motor changes in cognitively intact APOE-ε4 carriers: a preliminary study using a color-word interference task
Authors: Mehrdad Dadgostar, Lindsay C Hanford, Jordan R Green, Brian D Richburg, Averi Taylor Cannon, Nelson V Barnett, David H Salat, Steven E Arnold, Marziye Eshghi Abstract Introduction: Alzheimer's disease (AD) is the most prevalent form of dementia and a major public health challenge. In the absence of a cure, accurate and innovative early diagnostic methods are essential for proactive life and healthcare planning. Speech metrics have shown promising potential for identifying individuals with mild cognitive impairment (MCI) and AD, prompting investigation into whether speech motor features can detect elevated risk even prior to cognitive decline. This preliminary study examined whether speech kinematic features measured during a color-word interference task could distinguish cognitively normal APOE-ε4 carriers (ε4+) from non-carriers (ε4-). Methods: Sixteen cognitively normal older adults (n = 9 ε4+, n = 7 ε4-) completed…
Grant Funding: University of Buffalo Center for Advanced Technology in Big Data and Health Sciences (UB CAT)
Auspex Medix received $40,000 in matching funds from UB CAT Source: https://www.buffalo.edu/partnerships/about/news-events/news-detail-template.host.html/content/shared/www/partnerships/news/2025/New-hearing-loss-test-checks-the-eyes-not-the-ears.detail.html
Workshop Registration Now Open – Join us on January 23, 2026 in Newton, MA!
When: Friday, January 23rd, 2026Where: Mount Ida Campus of UMass Amherst in Newton, MA (In-person) | Zoom Webinar (Virtual option)Registration: Free Registration Link here MassAITC is hosting the Digital Frontiers in Frailty: Opportunities for Early Detection and Clinical Action Workshop. The free workshop will be held on January 23rd, 2026 at the Mount Ida Campus of UMass Amherst in Newton, MA and aims to bring together technologists (engineers, computer scientists, academic researchers, start-up founders) and clinicians (geriatricians, neurologists primary care providers) to redefine how we measure, assess, and provide time appropriate care for frailty. The workshop will include plenary speaker sessions from frailty and technology research experts, contributed poster and technology demo presentations, and a moderated discussion. By 2060, it is estimated that nearly a quarter of the US population (over 95 million people) will…
Oral Presentation: Driving Nursing Science Forward: The power of education, practice, innovation and research
Vanderbilt University School of Nursing, November 20. 2025
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