Agentic Science is an emerging paradigm whe re autonomous Artificial Intelligence (AI) agents communicate directly wit h structured biomedical data and services to support discovery\, diagnosti cs\, and care. This session will explore how GA4GH standards — such as Dat a Connect\, Passport\, WES\, and TES — can enable AI agents (e.g. LLM-powe red copilots or task-based bots) to reason over distributed -omics and hea lth datasets. We’ll showcase early prototypes where agents generate\, exec ute\, and refine standard-compliant queries across federated networks\, an d discuss challenges such as schema alignment\, explainability\, and secur ity. The goal is to catalyse cross-Work-Stream collaboration around an age ntic reference architecture and roadmap for enabling AI to act as an intel ligent interface between people and data.
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BEGIN:VALARM UID:38333035-3964-4133-b862-636637633633 ACTION:DISPLAY DESCRIPTION:Agentic Science is an emerging paradigm where autonomous Artifi cial Intelligence (AI) agents communicate directly with structured biomedi cal data and services to support discovery\, diagnostics\, and care. This session will explore how GA4GH standards — such as Data Connect\, Passport \, WES\, and TES — can enable AI agents (e.g. LLM-powered copilots or task -based bots) to reason over distributed -omics and health datasets. We’ll showcase early prototypes where agents generate\, execute\, and refine sta ndard-compliant queries across federated networks\, and discuss challenges such as schema alignment\, explainability\, and security. The goal is to catalyse cross-Work-Stream collaboration around an agentic reference archi tecture and roadmap for enabling AI to act as an intelligent interface bet ween people and data.\n\nPlease sign in [https://broadinstitute.swoogo.com /ga4gh13plenary/sign-in?rId=7101564] to view more information and to acces s the Zoom link. TRIGGER:-PT15M END:VALARM END:VEVENT END:VCALENDAR