Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu01:29

Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu

63
Genetic variations significantly influence drug response through pharmacokinetics, receptor interactions, and biologic milieu modifications. Pharmacokinetic alterations impact drug metabolism and clearance, affecting efficacy and toxicity. Variants in drug-metabolizing enzymes, such as CYP2C9 and CYP2C19, alter drug activation and elimination. For example, CYP2C9 loss-of-function variants require lower warfarin doses to prevent excessive bleeding, while CYP2C19 variants reduce clopidogrel...
63
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

53
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
53
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

6.2K
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.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
6.2K
Pharmacogenetics and Pharmacogenomics: Overview01:29

Pharmacogenetics and Pharmacogenomics: Overview

74
Pharmacogenetics and pharmacogenomics examine how genetic factors influence an individual's response to drugs. While pharmacogenetics focuses on the impact of specific genetic variants on drug effects, pharmacogenomics takes a broader approach, studying how genetic variation across populations contributes to differences in drug responses. These fields aim to explain why individuals may experience varying levels of efficacy or adverse reactions to the same medication.Variability in drug...
74
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

858
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
858
Genomics02:02

Genomics

41.1K
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...
41.1K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Reframing ontology fact acquisition during large language model fine-tuning as a time-to-event process.

Frontiers in artificial intelligence·2026
Same author

The evolution of structural variation across 500 million years of vertebrate evolution.

bioRxiv : the preprint server for biology·2026
Same author

predNMD: prediction of nonsense-mediated mRNA decay for improved clinical variant pathogenicity classification.

bioRxiv : the preprint server for biology·2026
Same author

Structural variant discovery and diagnostic impact in rare diseases from short-read and long-read sequencing.

medRxiv : the preprint server for health sciences·2026
Same author

Astrocytes contribute to olanzapine-mediated reversal of Kleefstra Syndrome-associated neurodevelopmental regression.

The Journal of clinical investigation·2026
Same author

Automated reanalysis of genomic data for rare disease diagnostics at scale.

Nature medicine·2026

関連する実験動画

Updated: Feb 28, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

16.4K

セッション紹介:精密医療:健康の理解と疾患治療のための大規模データと中間表現型の統合

Steven E Brenner1, Nilah M Ioannidis2, Tayo Obafemi-Ajayi3

  • 1University of California, Berkeley, United States, brenner@compbio.berkeley.edu.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|February 27, 2026
PubMed
まとめ

精密医療は、疾患の予測、診断、および治療を個別化するために、ビッグデータと計算方法を利用します。研究は、より良い個別化ケアとメカニズムの理解のために、多様なデータの統合に焦点を当てています。

キーワード:
精密医療計算生物学バイオインフォマティクスビッグデータ中間表現型個別化医療

さらに関連する動画

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.8K
In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

14.4K

関連する実験動画

Last Updated: Feb 28, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

16.4K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.8K
In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

14.4K

科学分野:

  • 計算生物学
  • 生物医学情報学
  • 精密医療

背景:

  • 精密医療は30年以上にわたって急速に進化してきました。
  • 分子プロファイリング、健康データ、および計算モデリングの進歩が進行を推進しています。
  • 個別化ケアのためには、遺伝的、分子的、環境的、臨床的など、多様なデータの統合が鍵となります。

研究 の 目的:

  • 精密医療のための計算方法を強調する。
  • 大規模な生物学的データと中間表現型を橋渡しする。
  • メカニズムの理解、リスク予測、および臨床的有用性を進歩させる。

主な方法:

  • マルチモーダルリスクモデリング。
  • バイオマーカー発見。
  • 因果推論フレームワーク。

主要な成果:

  • 2026年の太平洋生物計算シンポジウム(PSB)セッションでは、最先端の計算アプローチが紹介されました。
  • 貢献は、計算精密医療における多様な研究を示しています。
  • 方法は、ヘルスケアを改善するための異種データソースの統合に焦点を当てています。

結論:

  • 計算方法は、精密医療を進歩させるために不可欠です。
  • マルチモーダルデータの統合は、疾患リスク予測と治療を強化します。
  • 将来の研究は、個別化ケア戦略を引き続き洗練させていきます。