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相关概念视频

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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
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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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The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
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Kaplan-Meier Approach01:24

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The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
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CPMKG:一种基于条件的精准医学知识图.

Jiaxin Yang1, Xinhao Zhuang1, Zhenqi Li2

  • 1National Genomics Data Center & Bio-Med Big Data Center, Chinese Academy of Sciences Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.

Database : the journal of biological databases and curation
|September 27, 2024
PubMed
概括
此摘要是机器生成的。

CPMKG是个性化医疗的新平台,组织复杂的遗传药物信息. 它有助于研究人员根据个体遗传特征和疾病发现量身定制的治疗方法.

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科学领域:

  • 药物基因组学 药物基因组学
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 个性化医疗需要将遗传数据与药物信息整合起来.
  • 现有的知识系统很难代表复杂的,特定条件的遗传药物关系.
  • 发现基因型-表型-药物相关性是一项挑战.

研究的目的:

  • 为个性化医学开发一个全面的知识平台 (CPMKG).
  • 为了使基因药物知识的有效表现和探索.
  • 为了加速药物发现和临床决策.

主要方法:

  • 开发了一个基于条件的平台 (CPMKG) 用于知识表示.
  • 通过信息提取和策划,编译了超过307,000个知识条目.
  • 集成了一个大型语言模型来解释子图和用户体验.

主要成果:

  • CPMKG包含有关药物,疾病,表型,基因和基因组变异的大量数据.
  • 该平台涵盖药物的副作用,敏感性,机制和适应症.
  • 促进以药物为中心的探索和基于条件的多知识推断.

结论:

  • CPMKG为个性化医学的临床研究提供了宝贵的资源.
  • 该平台提供根据遗传特征,综合征和表型量身定制的药物信息.
  • CPMKG加速知识的发现,并支持量身定制的治疗策略.