Year 3 Pilots

Publication: An Explainable Transformer Model for Pain Intensity Assessment Using Multi-Modal Facial Sequential Images

Authors: Xian Du, Meysam Safarzadeh, Maoqin Zhu, Shishir Prasad, Sudeshna Das, Joohyun Chung Abstract Pain monitoring and assessment traditionally rely on subjective methods such as self-reports and caregiver evaluations, which can be costly and often inaccurate due to their inherent subjectivity and reliance on the individual's communication skills. Many objective methods have been introduced to address these issues, primarily utilizing single or multiple wearable sensor modalities. However, these approaches face challenges in home care settings, particularly concerning continuous wearability and discomfort, especially among elderly users. An alternative solution is using patient monitoring tools such as various imaging modalities to detect pain-related facial expressions. In this paper, we developed a new transformer model to extract pain-related features from facial expressions captured through three imaging modalities—RGB, thermal, and depth across sequential images. This method can leverage the…

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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.…

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Oral Presentation: American Speech Language Hearing Association Conference – 2025

SLPs on the Line: Engaging Patients in Cognitive Rehabilitation via Telephone: Moneta Health has developed a telephone-based telepractice model to deliver cognitive rehabilitation therapy (CR) to older adults with cognitive impairment. This model was designed to address common barriers to accessing quality care through traditional in-clinic and telehealth services. With Moneta, patients receive telephone sessions delivered by speech-language pathologists (SLPs), and sessions delivered by an AI-powered automated agent. These automated sessions contain personalized, interactive cognitive activities designed and selected by an SLP. An analysis of over 100 patients who completed the program shows high engagement, compliance and satisfaction, supporting the use of digital and audio-only delivery to promote a positive patient experience. In this paper, we provide an overview of the patient experience with Moneta, and review engagement and satisfaction metrics. Source: https://plan.core-apps.com/asha2025/event/28734884ce4484665e296583a03904a0

Continue ReadingOral Presentation: American Speech Language Hearing Association Conference – 2025

Award: Best Demo Audience Choice Award at IEEE BSN 2025

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

Continue ReadingAward: Best Demo Audience Choice Award at IEEE BSN 2025

Funding: $4.5M seed round raised

Seed round raised from existing investors (True Ventures, BKR Capital, Centre for Aging and Brain Health Innovation, Health2047 and others) - $4.5M to date. Securing of MassAITC pilot funding helped in due diligence with investors for their seed round, and thus was critical to closing their funding including with Health2047, venture arm of the American Medical Association and with other early stage investors. Source: businesswire

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Strategic Partnership: Moneta Health partners with Benefis Health System

"We are excited to partner with Moneta to make personalized, evidence-based cognitive rehabilitation the standard of care for our patients and families. Montana is vast and has the sixth oldest population in the nation. Moneta’s proven program is an accessible approach to proactive brain health for our aging demographic." Dr. Greg Tierney, President of System Clinical Operations at Benefis Health System. LAS VEGAS--(BUSINESS WIRE)--Moneta Health, a brain health company pioneering cognitive rehabilitation therapy through AI-powered delivery, today announced a $4.5 million funding round and a new partnership with Benefis Health System to expand access to cognitive care in neurology deserts. The company has signed a multi-year partnership with Benefis Health System in Montana and secured investment from venture capital firms including True Ventures and Health2047, the American Medical Association’s venture studio, to support its mission…

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