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Updated: Jan 13, 2026

Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats
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Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats

Published on: May 9, 2018

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利用生成性AI来增强Synthea的模型开发.

Mark A Kramer1, Aanchal Mathur1, Caroline E Adams1

  • 1MITRE Corporation, Bedford, MA 01730, United States.

JAMIA open
|January 8, 2026
PubMed
概括

大型语言模型 (LLM) 可以帮助更快地构建合成患者旅程模型. 虽然LLM通过代来提高模型准确性,但人类的专业知识仍然对验证和解决代码不准确性等局限性至关重要.

关键词:
菲希尔 (FHIR) 是一个人.辛提亚 (Synthea) 是一个女神.疾病模型的疾病模型.大型语言模型.合成的健康数据

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