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DTSTART;TZID=America/New_York:20260421T150000
DTEND;TZID=America/New_York:20260421T160000
DTSTAMP:20260521T042243
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UID:7551-1776783600-1776787200@bridge2ai.org
SUMMARY:Bridge2AI Discussion Forum on Emerging ELSI Issues: “Making Health AI Work: Turning Principles into Real-World Impact"
DESCRIPTION:  \nThis month\, Dr. Cora Han discussed how health systems can move from high-level AI principles to practical\, responsible implementation. Drawing on UC Health’s experience\, she covered governance\, real-world use cases\, and challenges around regulation\, data\, and workflow integration — as well as how AI can improve care delivery\, reduce clinician burden\, and scale innovation responsibly across healthcare \n— \nRegistration not required!\, view past recordings here. \nAdditional details in the attached documents and message below. \nBio: \nCora Han\, JD is Chief Health Data Officer for University of California Health. As a strategic leader at the intersection of healthcare\, technology\, and governance\,  Han directs the Center for Data-driven Insights and Innovation (CDI2)\, a systemwide data platform that leverages health data to improve care\, drive research\, and foster innovation. She also directs UC-wide data governance initiatives\, including the responsible development and application of AI in healthcare. Previously\, Han served as a senior attorney in the Federal Trade Commission’s Division of Privacy and Identity Protection\, where she played a leading role on health privacy matters in both enforcement and policy. She is a frequent speaker on artificial intelligence\, data governance\, and data privacy.
URL:https://bridge2ai.org/event/bridge2ai-discussion-forum-on-emerging-elsi-issues-making-health-ai-work-turning-principles-into-real-world-impact/
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DTSTART;TZID=America/Los_Angeles:20260428T083000
DTEND;TZID=America/Los_Angeles:20260429T170000
DTSTAMP:20260521T042243
CREATED:20260318T143951Z
LAST-MODIFIED:20260318T144840Z
UID:7547-1777365000-1777482000@bridge2ai.org
SUMMARY:2026 Spring All-Hands Meeting
DESCRIPTION:Dear Bridge2AI Community:\n\n\nWe are excited to invite you to register for the 2026 Bridge2AI All-Hands Meeting\, taking place April 28-29 at the NIH Neuroscience Center with Conference Chairs Dr. Mónica Muñoz Torres and Dr. Yulia Levites Strekalova.\n\n\nThe NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program was established to solve the AI-readiness gap in biomedical data\, setting the stage for the ethical use of AI in behavioral and medical research. As the program enters its fourth year\, the focus has shifted from foundational architecture to tangible results. The 2026 All-Hands Meeting highlights the consortium’s landmark data releases and tools while charting its evolution from a structured consortium into a broader\, collaborative community. This transition is captured in this year’s theme: From Data to Wisdom. \n\n\nTo register now\, please visit the meeting website. Registration will close on April 15\, 2026. 
URL:https://bridge2ai.org/event/2026-spring-all-hands-meeting/
LOCATION:NIH Neuroscience Center 6001 Executive Blvd Rockville MD United States
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260504
DTEND;VALUE=DATE:20260507
DTSTAMP:20260521T042243
CREATED:20251022T142747Z
LAST-MODIFIED:20251022T143007Z
UID:6968-1777852800-1778111999@bridge2ai.org
SUMMARY:2026 Voice AI Symposium & Hackathon
DESCRIPTION:Registration and Call for Science are now open for the 2026 Bridge2AI Voice Symposium + Hackathon! Join us May 4–6\, 2026\, in beautiful St. Petersburg\, Florida\, for one of the only global events dedicated entirely to voice biomarkers. \nThe Voice AI Symposium has become an internationally-recognized event and one of the only conferences focused solely on the research\, development\, and implementation of voice biomarkers to improve healthcare. Unlike some large-scale tech conferences\, the Voice AI Symposium is intentionally intimate and designed to give every attendee meaningful opportunities to meet pioneers\, tastemakers\, and thought leaders shaping the future of healthcare through voice AI technologies. Building on the success of past years\, the 2026 Voice AI Symposium will bring together the forefront innovators\, researchers\, clinicians\, entrepreneurs\, and industry leaders of the voice biomarker space for a two-day immersive experience at the forefront of voice and AI in healthcare. \n  \nHighlights will include: \n\nHands-on Training & Workshops using the Bridge2AI-Voice dataset and tools.\nPodium presentations selected through an open Call for Science\nInteractive Panels & Keynotes featuring international experts and visionaries in healthcare and AI.\nTech Fair & Demos where attendees can experience cutting-edge applications of voice AI.\nPitch Competition spotlighting groundbreaking startups.\nNetworking Events designed to foster real connections across disciplines.\nand more!\n\nSubmit your most innovative research and technology under this year’s theme:\n“Translating AI Research into Reality: Implementing Voice Biomarkers for Transformative Healthcare.” \nKey Dates:\nAbstract Submission Deadline: December 5\, 2025\nNotification of Selection: January 15\, 2026\nSymposium + Hackathon: May 4–6\, 2026 \nDon’t miss your chance to be part of this global movement at the intersection of voice\, data\, and health innovation — and to connect with the community shaping the next era of healthcare AI. \nRegister early to secure your spot — there is limited capacity!\nVoice AI Symposium: https://www.eventsquid.com/event.cfm?id=29517\nCall for Science: https://www.eventsquid.com/event.cfm?id=30025
URL:https://bridge2ai.org/event/2026-voice-ai-symposium-hackathon/
LOCATION:The Vinoy Resort & Golf Club\, 501 5th Ave NE\, St. Petersburg\, FL\, 33701\, United States
ORGANIZER;CN="Bridge2AI Voice":MAILTO:bridge2aivoice@usf.edu
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DTSTART;TZID=America/New_York:20260507T150000
DTEND;TZID=America/New_York:20260507T160000
DTSTAMP:20260521T042243
CREATED:20260506T143032Z
LAST-MODIFIED:20260506T143121Z
UID:7604-1778166000-1778169600@bridge2ai.org
SUMMARY:TRM Novel AI Technology Module Lecture: “Emerging Applicationsof Transformer-Based Language Models to Comparative and Evolutionary Genomics” by Kevin Liu\, PhD
DESCRIPTION:The Bridge2AI Training\, Recruitment\, and Mentoring (TRM) Working Group invites you to the next session in the Novel AI Technology Module of the TRM Learning Series. \nThis lecture will feature Kevin Liu\, PhD (Michigan State University)\, presenting on “Emerging Applications of Transformer-Based Language Models to Comparative and Evolutionary Genomics.” \n📅 Thursday\, May 7\, 2026\n⏰ 12 PM PT / 3 PM ET\n🔗 Join the webinar: https://arizona.zoom.us/s/85074689291 \nThis session will explore how transformer-based models are being adapted for genomics\, including applications in evolutionary analysis and emerging research directions. \nIntroduction
URL:https://bridge2ai.org/event/trm-novel-ai-technology-module-lecture-emerging-applicationsof-transformer-based-language-models-to-comparative-and-evolutionary-genomics-by-kevin-liu-phd/
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260518
DTEND;VALUE=DATE:20260522
DTSTAMP:20260521T042243
CREATED:20260514T171612Z
LAST-MODIFIED:20260514T172318Z
UID:7613-1779062400-1779407999@bridge2ai.org
SUMMARY:2026 AMIA Amplify Informatics Conference
DESCRIPTION:Join us at the 2026 AMIA Amplify Informatics Conference in Denver\, CO\, for two exciting panels:  \nBridge2AI-Voice: Advancing Clinical AI Through Ethically Sourced Voice Biomarkers 5/19/2026 | 8:00 AM – 9:15 AM \nVoice 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\, \nPhilip Payne\, PhD\, FACMI\, FAMIA – WashU Medicine and BJC HealthcareAndrea Krussel\, MA – Washington University in St. LouisWilliam Hersh\, MD\, FACMI\, FAMIA – Oregon Health & Science UniversityPhillip Jenkins\, MD – Oregon Health & Science University \n  \nBridge2AI at Year 4: The Operational Reality of Ethical\, AI-Ready Data Generation (Panel)5/20/2026 | 10:15 AM – 11:30 AM \nWhile 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.  \nMónica Muñoz Torres\, PhD – University of Colorado AnschutzAaron Lee\, MD\, MSCI – Washington University in St. Louis.Satrajit Ghosh\, PhD – Massachusetts Institute of TechnologyMónica Muñoz Torres\, PhD – University of Colorado AnschutzYulia Levites Strekalova\, PhD – University of FlordaTimothy Clark\, Ph.D. – University of Virginia \nFor more information\, please visit: https://amia.org/education-events/amplify-informatics-conference
URL:https://bridge2ai.org/event/2026-amia-amplify-informatics-conference/
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