Upcoming Events

Join us for the world’s leading event dedicated to voice biomarkers—the 2026 Voice AI Symposium & Hackathon! This interactive, three-day experience will take place May 4–6, 2026, at The Vinoy in St. Petersburg, Florida, bringing together innovators, clinicians, researchers, advocates, and industry leaders to shape the future of healthcare through voice AI. Save the date and join the conversation that’s redefining the future of voice in healthcare.

Join us on Thursday, February 19, 2026, at 12:00 PM PT/3:00 PM ET for the lecture: "Encrypted Machine Learning" by Dr. Vishnu Boddeti. This lecture is part of the Bridge2AI Training, Recruitment, and Mentoring (TRM) 2025-26 Lecture Series Novel AI Technology Module.

Join us at the 2026 AMIA Amplify Informatics Conference in Denver, CO, for two exciting panels: Bridge2AI-Voice: Advancing Clinical AI Through Ethically Sourced Voice Biomarkers & Bridge2AI at Year 4: The Operational Reality of Ethical, AI-Ready Data Generation (Panel).

Please join us on Tuesday, April 21st 2026 at 12pm-1pm PST/3pm-4pm EST for the discussion forum: “Making Health AI Work: Turning Principles into Real-World Impact”,  by Dr. Cora Han.

Please join us on Thursday, October 8, at 3:00 PM ET for the TRM Data Privacy and Distributed Learning Module Lecture: Private Insights into GenAI Use by Dr. Peter Kairouz. In this lecture, you will learn to: Evaluate Heuristic Vulnerabilities, Understand Provably Private Frameworks, and Explore Secure Deployment Technologies.

Please join us on Thursday, October 8 2026 at 12pm-1pm PST/3pm-4pm EST for the discussion forum: "AI, Augmented Intelligence, in Healthcare", by Dr. Vincent Liu, MD, MS. This talk explores how trust, workflow integration, and rigorous real-world evaluation, rather than model capability alone, are becoming the key determinants of healthcare AI impact using examples from traditional AI, generative AI, and into agentic AI.

The Fall 2026 All-Hands Meeting and Open House will highlight significant advances made in the program and highlight some of the breakthroughs by the program teams. Join us to connect with consortium members, discover new resources, and gain hands-on experience with the datasets, tools, and processes driving the future of biomedical AI.

Artificial intelligence has rapidly affected the healthcare landscape with applications ranging from prognostic models to language-based systems and emerging generative and agentic AI applications. But performant systems might not be clinically impactful. Drawing on pragmatic clinical trials of AI-driven interventions in urban and rural clinical settings, this talk will explore how silent validation, workflow integration, governance navigation, and continuous monitoring can bridge the gap between AI/ML development and improved patient care. The talk will also discuss how advances in language models and phenotyping are expanding what we can measure in healthcare, while reinforcing the need for rigorous evidence generation in real-world clinical settings. Bio: Colin Walsh, MD, MA, FACMI, FAMIA, FIAHSI, is an Associate Professor of Biomedical Informatics, Medicine, and Psychiatry at Vanderbilt University Medical Center. His research focuses on developing, evaluating, and implementing artificial intelligence to improve healthcare delivery, with an emphasis on pragmatic clinical trials, clinical decision support, natural language processing, and mental health. Dr. Walsh leads multisite, multidisciplinary efforts spanning clinical prediction, multimodal phenotyping, and public health informatics, with the goal of generating rigorous evidence that AI can improve clinical decision-making, healthcare quality, and patient outcomes in real-world practice. https://vanderbilt.zoom.us/j/93710289037 Meeting ID: 937 1028 9037