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X-WR-CALDESC:Events for BRIDGE2AI
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DTSTART;TZID=America/Los_Angeles:20260428T083000
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DTSTAMP:20260909T084321
CREATED:20260318T143951Z
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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:20260909T084321
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:20260909T084321
CREATED:20260506T143032Z
LAST-MODIFIED:20260506T143121Z
UID:7604-1778166000-1778169600@bridge2ai.org
SUMMARY:TRM Novel AI Technology Module Lecture: “Emerging Applicationsof 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/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260518
DTEND;VALUE=DATE:20260522
DTSTAMP:20260909T084321
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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DTSTART;TZID=America/New_York:20260915T150000
DTEND;TZID=America/New_York:20260915T160000
DTSTAMP:20260909T084321
CREATED:20260901T142806Z
LAST-MODIFIED:20260901T142806Z
UID:7722-1789484400-1789488000@bridge2ai.org
SUMMARY:Bridge2AI Discussion Forum on Emerging ELSI Issues: “Patient Trust\, Consent\, and the Ethics of Secondary Ambient AI Scribe Data Use"
DESCRIPTION:  \nAs ambient AI scribes rapidly enter routine healthcare\, they generate rich\, highly sensitive data streams\, including audio\, transcripts\, and clinical notes\, that raise questions regarding downstream reuse. This talk presents findings from a cross-sectional study (n=309) evaluating patient preferences for consent and comfort and acceptability regarding the secondary use of scribe-generated data. While patients accept clinical and quality improvement uses\, comfort drops significantly for developing new AI tools\, and acceptability falls sharply for identifiable data and commercial uses. We also find that patients consistently want clear notification\, which lies in tension with the increasing ubiquity and invisibility of ambient AI use. In this presentation\, we will discuss how these empirical patient-defined boundaries could shape governance and consider how emerging AI-enabled workflows can support research and ethical values. \nBio: Jodyn Platt  is an Associate Professor of Learning Health Sciences at the University of Michigan. Her work explores how data and technology can be used responsibly to improve health while earning and sustaining public trust. She studies the ethical\, social\, and policy questions that arise as health systems become more data-driven and powered by artificial intelligence. She works closely with patients\, communities\, and healthcare organizations to understand how people think about and experience data use in health and medicine.
URL:https://bridge2ai.org/event/bridge2ai-discussion-forum-on-emerging-elsi-issues-patient-trust-consent-and-the-ethics-of-secondary-ambient-ai-scribe-data-use/
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20261020
DTEND;VALUE=DATE:20261022
DTSTAMP:20260909T084321
CREATED:20260901T190552Z
LAST-MODIFIED:20260901T190714Z
UID:7730-1792454400-1792627199@bridge2ai.org
SUMMARY:Bridge2AI Fall 2026 All-Hands Meeting & Open House
DESCRIPTION:  \nThe 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. 
URL:https://bridge2ai.org/event/bridge2ai-fall-2026all-hands-meeting-open-house/
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