Wencheng Li

ZhuLong: Execution-Grounded LLM Agent for EDA Scripting with Offline API Self-Exploration

Yang Liu, Shiwei Hou, Xiyuan Chen, Yu Wang et autres

EDA scripting with tool-specific, often undocumented APIs remains a long-tail bottleneck that existing LLMs fail to address. This paper presents ZhuLong, an execution-grounded LLM coding agent for PyAether and SKILL that combines API retrieval, documentation inspection, and sandbox execution via unified MCP …

Adoption and Use of LLMs at an Academic Medical Center

Nigam H. Shah, Nerissa Ambers, Abby Pandya, Timothy Keyes et autres

While large language models (LLMs) can support clinical documentation needs, standalone tools struggle with "workflow friction" from manual data entry. We developed ChatEHR, a system that enables the use of LLMs with the entire patient timeline spanning several years. ChatEHR enables automations …

Adoption and Use of LLMs at an Academic Medical Center

Nigam H. Shah, Nerissa Ambers, Abby Pandya, Timothy Keyes et autres

While large language models (LLMs) can support clinical documentation needs, standalone tools struggle with "workflow friction" from manual data entry. We developed ChatEHR, a system that enables the use of LLMs with the entire patient timeline spanning several years. ChatEHR enables automations …

us (code pays fourni par la source)

A new paradigm for accelerating clinical data science at Stanford Medicine

Somalee Datta, José David Moreno Posada, Garrick Olson, Wencheng Li et autres

Stanford Medicine is building a new data platform for our academic research community to do better clinical data science. Hospitals have a large amount of patient data and researchers have demonstrated the ability to reuse that data and AI approaches to derive …

A new paradigm for accelerating clinical data science at Stanford\n Medicine

Somalee Datta, Jose Posada, Garrick Olson, Wencheng Li et autres

Stanford Medicine is building a new data platform for our academic research\ncommunity to do better clinical data science. Hospitals have a large amount of\npatient data and researchers have demonstrated the ability to reuse that data\nand AI approaches to derive novel insights, support …