Brenda Miao

Richard Socher Verified account @RichardSocher · Oct 21

Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.

• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months

Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.

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Atul Butte (In Memoriam) Verified account @atulbutte · May 22, 2024

PhD exit talk by Brenda Miao @bmeow19 happening on Thursday 2pm @UCSF Byers Auditorium, with reception to follow! Join us in celebrating Brenda's PhD work!

Uncovering Strategies For Personalized Treatment Selection Using Large Language Models

Healthcare data has never been so accessible to patients and physicians, from smartphones and other remote monitoring devices to improved Electronic Medical Record (#EMR) data access. Despite this increasing ubiquity, insights from these data are often only captured in medical notes and other complex, spare, and unstructured real-world data. Here, we develop methods to use large language models (#LLM) to identify points of actionable insights from real-world data for both digital and pharmaceutical therapeutics. These new methods allow us to take an unprecedented look at the conversations, decisions, and medical expertise captured in millions of clinical notes and other real-world text data. #AI

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Atul Butte (In Memoriam) Verified account @atulbutte · Mar 20, 2024

Catch @ucsf_bchsi Brenda Miao @bmeow19 presenting on “Quantifying digital health documentation in real-world clinical care" at #AMIA2024 #IS24 5:00 PM today in "Avenue 34" in the Hilton Boston Park Plaza! Based on the recently published paper: buff.ly/4bHqY8N

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Madhumita Sushil @madhumitasushil · Mar 14, 2024

Thrilled to share our latest @nejm_ai article (ai.nejm.org/doi/full/10.10…) releasing a new oncology NLP benchmark of 40 breast and pancreatic cancer progress notes from UCSF, comprehensively annotated by medical experts! (1/7)

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tomiko oskotsky @tomiko22 · Feb 2, 2024

A live demo by @bmeow19 of the 'Clinical decision trees with Large Language Models' research tool with @Bob_Wachter at last night's @UCSFDOM leadership retreat. @UCSF_BCHSI @atulbutte @oskotsky

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