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相关概念视频

Improving Translational Accuracy02:07

Improving Translational Accuracy

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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...
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Margin of Error01:27

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The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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RNA Editing02:23

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RNA editing is a post-transcriptional modification where a precursor mRNA (pre-mRNA) nucleotide sequence is changed by base insertion, deletion, or modification. The extent of RNA editing varies from a few hundred bases, in mitochondrial DNA of trypanosomes, to a just single base, in nuclear genes of mammals. Even a single base change in the pre-mRNA can convert a codon for one amino acid into the codon for another amino acid or a stop codon. This type of re-coding can significantly affect the...
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Mismatch Repair01:36

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Overview
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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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相关实验视频

Updated: Sep 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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通过微调的文本嵌入模型来提高MedDRA/J编码精度.

Shoya Wada1,2, Masaharu Okamoto2, Kento Sugimoto2

  • 1Department of Transformative System for Medical Information, Graduate School of Medicine, The University of Osaka.

Studies in health technology and informatics
|August 8, 2025
PubMed
概括
此摘要是机器生成的。

对不良事件 (AE) 数据的微调文本嵌入模型改善了日本的MedDRA编码精度. 这种方法提高了搜索精度和回忆,以更好地遵守法规.

关键词:
在 MedDRA 编码.自然语言处理自然语言处理.药物监督和药物监督

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科学领域:

  • 药物监督 药物监督 药物监督
  • 自然语言处理自然语言处理.
  • 医学编码 医学编码

背景情况:

  • 日本的MedDRA (监管活动医学词典) 编码存在挑战,原因是源表达式和词典术语之间的差异.
  • 准确的不良事件 (AE) 报告对于患者安全和监管合规至关重要.

研究的目的:

  • 提高日本MedDRA编码的准确性和效率.
  • 使用内部AE数据开发和评估一个微调的文本嵌入模型.

主要方法:

  • 一个文本嵌入模型在50,000个内部不良事件条目数据集上进行了微调.
  • 微调模型的性能与MedDRA术语排名和回忆的基线方法进行了比较.

主要成果:

  • 微调模型在MedDRA术语排名和回忆中显示出显著的改进.
  • 实现了76.2%的nDCG@20和90.8%的RECALL@20与5000个内部条目.
  • 在准确地将源表达式映射到MedDRA术语方面表现优于基线方法.

结论:

  • 在现实世界AE数据上微调文本嵌入模型是改进MedDRA/J编码的可行策略.
  • 这种先进的方法可以通过提高搜索准确性和效率,显著有利于药监活动.
  • 该方法提供了一个可扩展的解决方案,用于解决监管环境中的编码差异.