Pilots

Oral Presentation: Developing Agentic AI Chatbot Tools with Older Adults and Caregivers to Encourage Participation in ADRD Clinical Trials

This is part of the monthly MassAITC webinar series. Abstract: Hype around the potential of generative AI tools to transform healthcare is at an all time high, but their design and utility is often not user or patient-centered. This is particularly true for generalized large language models that have limited UI/UX features, may hallucinate or give incorrect medical/healthcare advice, or may lack conversational clarity and specificity. In fact, these tools are rarely designed in partnership with the end-user or patients they intend to serve. As part of a2 Collective Pilot award in partnership with MassAITC, S-3 Research and California State Fullerton have been developing “TRIALCHAT”, a multiagentic AI tool with the goal of navigating older adults and their caregivers to resources related to Alzheimer’s Disease and clinical research participation opportunities. Lessons learned from a technology…

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Sponsorship: VivoSense is Inaugural Sponsor of DiMe Society’s Library of Digital Endpoints

DiMe is the leading global nonprofit advancing digital medicine, and the Library is one of their most valuable contributions to the field — a free, publicly available catalog of digital endpoints used in clinical research across therapeutic areas. For sponsors and researchers designing studies that incorporate wearable sensors, it's an essential reference. At VivoSense, our work is grounded in the belief that shared resources make the whole field stronger. No single organization can build the evidence base alone. Supporting the Library is one way we can contribute to the infrastructure the field needs, and partnering with DiMe, the recognized expert in this space, makes that contribution meaningful. Source: https://www.linkedin.com/posts/digitalhealth-digitalmeasures-healthcareinnovation-share-7441863834992160768-YIys/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAANw6GUBUuqlp9jndjMTsgXQj7lf9CkVSnE

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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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Grant Funding: NIH R01: mHealth Technologies for Assessing Hearing Disorders

Project Abstract Sound Sensitivity and Tolerance (SST) disorders represent an urgent public health challenge in hearing disorders, affecting over 350,000 new patients annually in the United States with an economic burden exceeding $14 billion. While SST frequently co-occurs with conditions like autism spectrum disorder, PTSD, and migraine, current clinical assessment methods remain largely subjective and inaccessible, particularly for underserved populations. Recent research shows that Auditory Pupillary Response (APR) provides a promising objective biomarker for SST, as affected individuals exhibit distinct pupillary reactions to sound stimuli. However, measuring APR currently requires expensive clinical equipment and controlled laboratory settings, creating significant barriers to widespread adoption. This project aims to transform SST assessment through AudioSight, an innovative smartphone-based system that enables accessible, objective measurement of APR. Building on our preliminary data showing clear APR differentiation between SST patients…

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Oral Presentation: Empowering Clients & Reducing Burnout: Three Innovative Tools 

  • Post category:B16 - Babel

Abstract: Burnt-out therapists struggling with cognitive rehab. Frustrated students battling inaccurate speech-to-text in noisy classrooms. Eye-gaze users who are stuck with slow communication methods.  The Babel Group, founded by two Speech-Language Pathologists whose mission is “Innovation with a Conscience,” will introduce three innovative tools that tackle these challenges head-on. From faster AAC access to privacy-friendly speech recognition and customizable therapy activities, discover solutions that empower communication, restore professional energy, and bring joy back to therapy and learning.  Source: https://s3.goeshow.com/atia/orlando/2026/new_session_directory.cfm

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