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DTSTART;TZID=America/New_York:20261008T150000
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SUMMARY:Bridge2AI Discussion Forum on Emerging ELSI Issues: “AI\, Augmented Intelligence\, in Healthcare"
DESCRIPTION: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. \n\n\n\n\nArtificial intelligence is rapidly progressing from tools that generate predictions to systems that perform work and increasingly participate in care delivery. 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. \n\n\n\n\n\nVincent Liu\, MD\, MS is Chief Data Officer for The Permanente Medical Group and a Research Scientist with the Kaiser Permanente Division of Research. A pulmonary-critical care physician\, health services researcher\, and AI leader\, Dr. Liu’s work focuses on the development\, implementation\, and rigorous evaluation of artificial intelligence in real-world healthcare settings. His research has spanned predictive analytics\, sepsis and deterioration detection\, ambient AI documentation\, and large-scale evaluation of AI-enabled care delivery\, including leadership of the Augmented Intelligence in Medicine and Healthcare Initiative (AIM-HI) and participation in ARPA-H programs evaluating agentic AI in clinical care. He is nationally recognized for advancing evidence-based approaches to healthcare AI that improve patient outcomes while emphasizing trust\, workflow integration\, safety\, and equity. \n\n\n\n\n\nMeeting ID: 941 6437 8982
URL:https://bridge2ai.org/event/bridge2ai-discussion-forum-on-emerging-elsi-issues-ai-augmented-intelligence-in-healthcare/
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20261020
DTEND;VALUE=DATE:20261022
DTSTAMP:20261113T114509
CREATED:20260901T190552Z
LAST-MODIFIED:20261019T145559Z
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SUMMARY:Bridge2AI Fall 2026 All-Hands Meeting & Open House
DESCRIPTION:The NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program tackled a key gap in the biomedical research community by generating new “flagship” data sets and best practices for machine learning (ML) analysis. These datasets were collected and processed with AI modeling in mind. To complement these datasets\, the program also developed: software\, standards\, tools\, best practices\, and training materials for workforce development. \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. 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. \nClick here to view the full digital program of the meeting’s events.
URL:https://bridge2ai.org/event/bridge2ai-fall-2026all-hands-meeting-open-house/
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DTSTART;TZID=America/New_York:20261022T150000
DTEND;TZID=America/New_York:20261022T160000
DTSTAMP:20261113T114509
CREATED:20261016T155046Z
LAST-MODIFIED:20261016T155309Z
UID:7873-1792681200-1792684800@bridge2ai.org
SUMMARY:Bridge2AI × VUMC ADVANCE Forum on ELSI Issues in AI: “From Prediction to Practice: Generating Evidence for Healthcare AI"
DESCRIPTION: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.\n\nBio: 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.\n\nhttps://vanderbilt.zoom.us/j/93710289037\nMeeting ID: 937 1028 9037\n\n\n\n\n\n\n\n\n\n\n\n 
URL:https://bridge2ai.org/event/bridge2ai-x-vumc-advance-forum-on-elsi-issues-in-ai-from-prediction-to-practice-generating-evidence-for-healthcare-ai/
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DTSTART;TZID=America/Phoenix:20261119T120000
DTEND;TZID=America/Phoenix:20261119T130000
DTSTAMP:20261113T114509
CREATED:20261113T190829Z
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SUMMARY:Beyond Centralized Data: Data Privacy and Federated Learning for Biomedical AI
DESCRIPTION:Speaker: Dr. Holger R. Roth (NVIDIA)\nDate & Time: Thursday\, November 19\, 12:00 – 1:00 PM\nAccess Link: Zoom Webinar\n\nOverview & Speaker Biography\nDr. Holger R. Roth is a Senior Applied Research Scientist at NVIDIA’s deep learning for medical imaging research group in Bethesda\, Maryland. A recognized leader in large-scale medical image analysis and multi-scale computational anatomy\,Dr. Roth received his PhD from University College London and previously conducted research at the NIH Clinical Center and Nagoya University. He is an Associate Editor for IEEE Transactions on Medical Imaging and won the Young Scientist Publication Impact Award for his foundational research on deep convolutional neural networks in medical diagnostics. \nLearning Objectives\n\nExplain why data privacy\, governance\, and institutional data silos make centralized training difficult in biomedical research\, and how federated learning enables multi-site collaboration without sharing raw data.\nDescribe core privacy-preserving techniques in federated learning—including secure aggregation\, differential privacy\, and confidential computing—alongside their practical trade-offs.\nIdentify real-world applications and tooling for federated learning on biomedical data (such as medical imaging\,EHR\, and genomics using frameworks like NVFlare and MONAI) and key considerations for the Bridge2AI community.
URL:https://bridge2ai.org/event/trm-lecture-data-privacy-and-federated-learning-for-biomedical-ai/
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20270517
DTEND;VALUE=DATE:20270820
DTSTAMP:20261113T114509
CREATED:20261113T192538Z
LAST-MODIFIED:20261113T192842Z
UID:7909-1810512000-1818719999@bridge2ai.org
SUMMARY:Bridge2AI-Voice 2027 Voice AI Symposium & Hackathon
DESCRIPTION:Registration is officially open for the 2027 Voice AI Symposium + Hackathon!\n\n\n\n\n\n  \nJoin us in sunny St. Petersburg\, Florida\, for one of the only global events dedicated entirely to vocal biomarkers. The Voice AI Symposium has become an internationally recognized event\, bringing together thought leaders\, pioneering researchers\, clinicians\, engineers\, ethicists\, industry leaders\, trainees\, and patient advocates to explore how the human voice can unlock new frontiers in health diagnostics and care. Unlike large-scale tech conferences\, this event is intentionally designed to foster meaningful connections and deep collaboration among those shaping the future of voice AI. \nRegister for the Symposium and Hackathon here: https://www.eventsquid.com/event/32971 \nSubmit your abstract here before December 7: https://www.eventsquid.com/event/33002 \nNew this year: Discounted Symposium registration for ISVB members!Members of the International Society for Vocal Biomarkers receive a discount code specifically for Symposium registration.To take advantage of the discounted rate\, become an ISVB member before registering for the Symposium.Click here to learn more about ISVB and become a member today. \nImportant Dates and Details: \n\n\nSymposium: May 17-18\, 2027\nHackathon: May 19\, 2027\nLocation: The Vinoy & Coastal Creative\, St. Petersburg\, Florida\nAbstract Submission Deadline: December 7\, 2026\n\nWhat to Expect:\n\nInteractive Panels & Keynotes featuring international experts and visionaries in healthcare and AI.\nHands-on training and workshops you can put to work right away.\nLively debates on the field’s biggest questions.\nClinicians\, engineers\, ethicists\, industry leaders\, trainees\, and patient advocates – all in one room.\nPoster Competition where attendees can showcase their science and research.\nTech Fair and Demos where attendees can experience cutting-edge applications of Voice AI.\nA full-day Hackathon where clinical and technical minds will team up to tackle real challenges in voice AI for health\, with guidance from leading experts.\n\n\nCall for Science is Open: Our Call for Science is open until December 7\, 2026. Submit your innovative research under this year’s theme: “Building Trustworthy Vocal Biomarkers from Mechanisms to Clinical Impact”. \nRegister early to secure your spot. We hope to see you at the 2027 Voice AI Symposium!
URL:https://bridge2ai.org/event/voice-ai-symposium-hackathon-2027/
LOCATION:The Vinoy Resort & Golf Club\, 501 5th Ave NE\, St. Petersburg\, FL\, 33701\, United States
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