Application of Sentiment Analysis and Generative Language Algorithms to Kinto, a Support Service for Family Caregivers of Persons Living with ADRD

Joseph Chung, Kinto. This project will apply sentiment analysis and large language models to text data from a variety of sources including messaging between coaches and caregivers as well as peer-to-peer support groups.

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MassAITC Webinar – Omer Inan

https://www.youtube.com/watch?v=sHCNy3hzdXk This talk will focus on: Digital health technology in precision medicine Advancements in cardiogenic vibration sensing Musculoskeletal sensing and joint acoustic emissions Abstract: Recent advances in digital health technologies are enabling biomedical researchers to reframe health optimization and disease treatment in a patient-specific, personalized manner. This talk will focus on my group’s research in two areas of relevance to digital health: (1) cardiogenic vibration sensing and analytics; and (2) musculoskeletal sensing with joint acoustic emissions and bioimpedance. Our group has extensively studied the timings and characteristics of cardiogenic vibration signals such as the ballistocardiogram and seismocardiogram, and applied these signals for cuffless blood pressure measurement, heart failure monitoring, and human performance. We have also leveraged miniature contact microphones to measure the sounds emitted by joints, such as the knees, in the context of movement,…

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