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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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DTSTART;VALUE=DATE:20260518
DTEND;VALUE=DATE:20260522
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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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