涩里番

Personalized Music Generation for Non-Pharmacological Chronic Pain Managemen

Assistant Professor Pouya Bashivan, Medicine and Health Sciences, Physiology

Executive Summary

Chronic pain is the leading cause of disability worldwide and the most common reason for seeking healthcare. Treatment remains dominated by pharmacological approaches, particularly opioids, which carry risks of addiction, cognitive impairment, and limited long-term efficacy. Research shows music can produce analgesic effects comparable to opioids, yet its clinical use remains unsystematic and guided mainly by preference rather than evidence. We developed a neuroAI framework using generative neural networks to design music predicted to activate an individual鈥檚 reward circuitry, which is known to suppress pain perception. By integrating brain imaging, predictive modeling, and generative music synthesis, the system produces personalized compositions expected to yield measurable analgesic benefits. This project will deliver a prototype personalized music-therapy system for pain management and advance validation from TRL4 to TRL6, enabling patenting, spinoff development, and clinical translation. Support from the Baylis Health Care Grant will accelerate technical refinement, human testing, regulatory planning, and partnerships with healthcare providers worldwide.

AI-Powered Contactless Blood Pressure Estimation: A Scalable Solution for Continuous Health Monitoring

Associate Professor Narges Armanfard, Electrical and Computer Engineering

Executive Summary

Hypertension and hypotension affect millions globally, posing significant health and economic challenges. Traditional blood pressure (BP) monitoring methods are limited by discomfort, inconvenience, and inability to provide continuous tracking. This proposal focuses on developing a groundbreaking, non-invasive, video-based BP monitoring system leveraging AI for real-time, continuous health management. The technology offers a scalable and accessible solution for individuals, healthcare providers, and insurers, addressing gaps in current tools and enabling proactive health management. This grant will support further development, validation on diverse populations, and preparation for commercialization, with the goal of transforming BP monitoring and improving global health outcomes.

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