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
5/19/2026 | 8:00 AM – 9:15 AM

Voice is emerging as a powerful, non-invasive biomarker that supports early disease detection, monitoring, and personalized care. The ubiquity of ambient listening technologies, ranging from smartphones and telehealth platforms to wearables and clinical monitoring systems, creates new opportunities to capture real-world voice data at scale. As these data streams expand, it becomes increasingly important to develop trustworthy, clinically grounded AI models that can responsibly leverage voice signals while safeguarding privacy and equity. The NIH-funded Bridge2AI-Voice consortium is building one of the largest clinically validated, ethically sourced voice datasets to date, integrating audio recordings with phenotype and clinical metadata across multiple disease domains. This panel brings together leaders in clinical informatics, translational AI, and workforce development to discuss how the consortium’s standards, training programs, and governance frameworks prepare the field for a future where voice-derived insights can augment screening,

Philip Payne, PhD, FACMI, FAMIA – WashU Medicine and BJC Healthcare
Andrea Krussel, MA – Washington University in St. Louis
William Hersh, MD, FACMI, FAMIA – Oregon Health & Science University
Phillip Jenkins, MD – Oregon Health & Science University

Bridge2AI at Year 4: The Operational Reality of Ethical, AI-Ready Data Generation (Panel)
5/20/2026 | 10:15 AM – 11:30 AM

While a previous AMIA session introduced the vision of the NIH Bridge2AI consortium, Year 4 marks the transition from architectural design to tangible impact. This panel presents the consortium’s pioneering flagship data releases, demonstrating that AI-readiness is not merely a technical standard but a sociotechnical achievement. Panelists representing the four Bridge2AI Grand Challenges will showcase >30TB of newly available multimodal data, highlighting how Ethical Scaffolding and Team Science were operationalized to address critical Implementation bottlenecks. We will examine specific utilization cases: how privacy ethics drove the development of watermarking tools for diabetes data; how transdisciplinary teaming enabled the harmonization of 1.6 billion EHR rows across 14 hospital sites; how the SAFE ethical framework shaped the release of voice biomarkers; and how robust data and tools standards help address “black box” AI/ML concerns. This session offers a practical roadmap for researchers to access, utilize, and trust these ethically sourced resources.

Mónica Muñoz Torres, PhD – University of Colorado Anschutz
Aaron Lee, MD, MSCI – Washington University in St. Louis.
Satrajit Ghosh, PhD – Massachusetts Institute of Technology
Mónica Muñoz Torres, PhD – University of Colorado Anschutz
Yulia Levites Strekalova, PhD – University of Florda
Timothy Clark, Ph.D. – University of Virginia

For more information, please visit: https://amia.org/education-events/amplify-informatics-conference