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

Data Collection by Observations01:08

Data Collection by Observations

12.0K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
12.0K
Review and Preview01:13

Review and Preview

9.0K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
9.0K
Data Collection by Experiments01:13

Data Collection by Experiments

24.2K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
24.2K
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

27
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
27
Data Reporting and Recording01:24

Data Reporting and Recording

4.7K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
4.7K
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

59
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
59

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

Prospective evaluation of genomics-guided off-label treatment.

Nature·2026
Same author

Authors response to Letter re: The pathway alteration load is a pan-cancer determinant of outcome of targeted therapies: results from the Drug Rediscovery Protocol (DRUP) molecular complexity and response to targeted therapy.

ESMO open·2025
Same author

The pathway alteration load is a pan-cancer determinant of outcome of targeted therapies: results from the Drug Rediscovery Protocol (DRUP).

ESMO open·2025
Same author

Single-arm trials supporting the approval of anticancer medicinal products in the European Union: contextualization of trial results and observed clinical benefit.

ESMO open·2023
Same author

Complete genomic characterization in patients with cancer of unknown primary origin in routine diagnostics.

ESMO open·2022
Same author

Trastuzumab and pertuzumab combination therapy for advanced pre-treated HER2 exon 20-mutated non-small cell lung cancer.

European journal of cancer (Oxford, England : 1990)·2022
Same journal

A viral ORFeome library for systems-level genetic dissection of host-pathogen interactions.

Cell·2026
Same journal

Co-option of lysosomal machinery shapes the evolution of the intracellular photosymbiosis supporting coral reefs.

Cell·2026
Same journal

LEF1 and niche factors determine T cell stemness across chronic diseases.

Cell·2026
Same journal

Recurrent patterns of TOP1-mediated neuronal genomic damage shared by major neurodegenerative disorders.

Cell·2026
Same journal

Four-dimensional molecular mapping from a spatial snapshot reveals the dynamics of hair follicle organogenesis.

Cell·2026
Same journal

Whole-cell particle-based digital twin simulations from 4D lattice light-sheet microscopy data.

Cell·2026
関連記事をすべて見る

関連する実験動画

Updated: Jun 29, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K

現実世界のデータを生成し,利用する.

K Verkerk1, E E Voest2

  • 1Department of Molecular Oncology & Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands; Oncode Institute, Utrecht, the Netherlands.

Cell
|March 29, 2024
PubMed
まとめ
この要約は機械生成です。

精密腫瘍学には新しい方法が必要です 現実世界データ (RWD) は,バイオマーカーの検証と薬物の価値の評価のためのアクセス可能なデータセットを提供することで,臨床試験における課題に対処することができます.

キーワード:
腫瘍学精密腫瘍学リアルなデータ現実世界の証拠

さらに関連する動画

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.3K
Microbial Communities in Nature and Laboratory - Interview
29:13

Microbial Communities in Nature and Laboratory - Interview

Published on: May 28, 2007

6.2K

関連する実験動画

Last Updated: Jun 29, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.3K
Microbial Communities in Nature and Laboratory - Interview
29:13

Microbial Communities in Nature and Laboratory - Interview

Published on: May 28, 2007

6.2K

科学分野:

  • 腫瘍学
  • バイオ統計学
  • 医療情報学

背景:

  • 精密腫瘍学は 実現可能性とデータの一般化に関して 伝統的な臨床試験で課題に直面しています
  • 様々な患者のサブグループをテストし,実際の薬の有効性を評価するための実用的な研究方法が必要です.
  • リアルワールドデータ (RWD) は,包括的なデータセットを生成し,バイオマーカーを検証するための潜在的な解決策を提供します.

研究 の 目的:

  • 精密腫瘍学を進めるために現実世界のデータ (RWD) を活用する可能性を探求する.
  • 腫瘍学研究における RWD の利点と課題を強調する.
  • RWDを腫瘍学試験の設計と薬物の評価に組み込むための進路を提案する.

主な方法:

  • この展望は,既存の文献をレビューし,腫瘍学におけるRWDの確立されたおよび潜在的な応用について議論します.
  • データ品質,プライバシー,バイアスを含むRWDのより広範な採用を妨げている懸念や制限を調査しています.
  • 生物マーカーの発見と検証を 支援する RWD リポジトリをどのように構築するかに焦点を当てています

主要な成果:

  • RWDは従来の臨床試験を補完し 条件付きの払い戻しや 薬へのアクセスの加速を可能にします
  • RWDは革新的な試験設計を容易にし,薬物用薬の拡張または精製を支援します.
  • 腫瘍学における新しいバイオマーカーの発見と検証には,特別に設計されたRWDリポジトリが不可欠です.

結論:

  • 現実世界のデータは現在の腫瘍学研究方法の限界を克服する大きな可能性を秘めています.
  • RWDの品質,プライバシー,バイアスに関する懸念に対処することは,その効果的な実施に不可欠です.
  • RWDの戦略的利用は 精密な腫瘍学,バイオマーカー発見,薬物の評価を大幅に前進させることができます