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相关概念视频

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Synthetic Biology02:55

Synthetic Biology

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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
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Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Whole Body Regeneration01:33

Whole Body Regeneration

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Regeneration is the process of restoring injured or lost tissues, organs, or body parts. While simpler organisms generally show greater ability to regenerate their whole body, few complex animals show similarly exceptional regeneration. For example, planarian flatworms have a unique regenerative potential making them a popular study organism among biologists to understand the mechanisms of whole body regeneration. Other organisms, such as hydra, also show extreme regeneration potential;...
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Updated: May 15, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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生物医学自然语言处理中的2023年:致敬大型语言模型和生成AI

Cyril Grouin1, Natalia Grabar2

  • 1Université Paris Saclay, CNRS, LISN, 91400 Orsay, France.

Yearbook of medical informatics
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概括
此摘要是机器生成的。

2023年顶级的生物医学自然语言处理 (NLP) 论文专注于用于数据增强和域调整的语言模型. 这些进展对于改善医疗保健中的人工智能和分析各种数据源至关重要.

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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科学领域:

  • 生物医学自然语言处理 (NLP)
  • 医疗保健中的人工智能

背景情况:

  • 生物医学自然语言处理 (NLP) 的领域正在迅速发展.
  • 识别具有高影响力的出版物对于跟踪进展至关重要.

研究的目的:

  • 从2023年开始,确定和分析生物医学NLP中最好的科学出版物.
  • 突出当前的趋势和该领域的关键研究领域.

主要方法:

  • 系统地搜索Medline和ACL的诗集数据库.
  • 自动评分和手动列出候选人论文的入围名单.
  • 评审过程,包括外部审稿人的评价和编辑的选择.

主要成果:

  • 在2,148个出版物中,选出了两个顶级论文.
  • 选择的论文重点是用于数据增强,域调整和蒸的语言模型.
  • 应用包括使用深度学习的社交媒体内容和电子健康记录.

结论:

  • 2023年的趋势包括经典的NLP任务,医学教育,聊天机器人和生成AI.
  • 具体解决的问题是癌症,COVID-19 (包括后期条件) 和心理健康.
  • 语言模型的进步有助于处理非英语语言和语言可移植性.