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UCSF uses AI agents with patient data in secure Jupyter notebooks

By PulseAugur Editorial · [1 sources] ·

Researchers at the University of California, San Francisco are developing a method to use AI agents in clinical research without compromising sensitive patient data. They are integrating the open-source Biorouter project with Jupyter notebooks to enable AI access to protected clinical data within institutional security frameworks. This approach aims to support biomedical discovery by providing a secure environment for AI agents to interact with real patient data. AI

IMPACT Enables secure use of AI agents in sensitive clinical research, potentially accelerating biomedical discovery.

RANK_REASON The item describes a research project and its application in clinical research, presented at an event. [lever_c_demoted from research: ic=1 ai=0.7]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

UCSF uses AI agents with patient data in secure Jupyter notebooks

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9 / 100
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The item describes a research project and its application in clinical research, presented at an event. [lever_c_demoted from research: ic=1 ai=0.7]
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    🪐 Bringing AI agents to clinical research without exposing sensitive patient data. Join Wanjun Gu, PhD Student in Bioinformatics at UCSF, at # JupyterDay 2026 f

    🪐 Bringing AI agents to clinical research without exposing sensitive patient data. Join Wanjun Gu, PhD Student in Bioinformatics at UCSF, at # JupyterDay 2026 for the session: 🎤 “Notebooks Behind the Firewall: AI Agents and Real Patient Data in Jupyter” Discover how researchers a…

    LINKS events.linuxfoundation.org/jupyter-day

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