提高肝病临床试验的效率:一个安全的,大型的语言模型驱动的预选管道
Xiongbin Gui1, Hanlin Lv2, Xiao Wang2
1The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, 530023, China.
BioData mining
|June 14, 2025
概括
一个新的AI管道准确地选患者进行肝病临床试验,提高效率和数据安全性. 这种方法可以提高治疗肝细胞癌和肝硬化等复杂疾病的患者招募率.
科学领域:
- 人工智能在医学中的应用
- 临床试验招聘 临床试验招聘
- 医疗信息学 医疗信息学
背景情况:
- 为肝病队伍 (例如肝细胞癌,肝硬化) 招募患者需要复杂的标准解释.
- 手动选耗时且容易出现错误.
- 现有的AI预选方法在准确性,效率和数据隐私方面面临挑战.
研究的目的:
- 开发一种新,精确,安全和高效的AI管道,用于临床试验中的患者预先查.
- 以临床专业知识为指导,利用大型语言模型 (LLM).
- 解决复杂肝脏疾病的语义标准解释方面的挑战.
主要方法:
- 开发了一个管道,将复杂的标准分解为复合问题.
- 在电子健康记录中采用两种法学士策略进行语义性问答: (1) 人类化专家的思维链 (Pathway A) 和 (2) 在代理合作中预设的态度 (Pathway B).
- 使用精度,回忆,时间消耗和反事实推断评估管道性能.
主要成果:
- 实现了高精度 (0.921在标准水平) 和良好的回忆 (~0.82在标准水平) 与高效率 (0.44s每任务).
- 路径B在复杂推理方面表现出高精度;路径A在直接数据提取方面表现出色,精度和回忆强大.
- 管道在肝细胞癌 (0.878) 和肝硬化 (0.843) 试验中显示出有希望的精度.
结论:
- 开发的管道是数据安全,时间高效,并在肝病学试验中实现高精度和良好的回忆.
- 为简化临床试验工作流程和改善患者招募提供了一个有希望的解决方案.
- 它的效率,适应性和性能使其适用于资源有限的临床环境.
更多相关视频
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
8.2K
03:14Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
525
相关概念视频
Improving Translational Accuracy
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Effect of Hepatic Disease on Pharmacokinetics: Pathophysiologic Assessment and Liver Function Test
In clinical practice, the direct measurement of hepatic blood flow to evaluate liver function presents significant challenges due to the intricate and specialized nature of the necessary techniques. Consequently, healthcare professionals often rely on empirical estimates derived from thorough patient examinations and liver function tests to gauge liver health. Among the tools at their disposal, the Child–Pugh and MELD scoring systems stand out for their ability to categorize and assess the...
