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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.1K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.1K
Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

4.3K
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
4.3K
Microorganisms in Medicine and Therapeutics01:29

Microorganisms in Medicine and Therapeutics

845
Microorganisms play a fundamental role in vaccine development, gene therapy, and therapeutic production. Their biological properties are harnessed to advance medicine and public health. Beyond immunization, microorganisms contribute to gut health, antibiotic synthesis, and genetic disease treatment.Live Attenuated and Inactivated VaccinesLive attenuated vaccines, such as the measles, mumps, and rubella (MMR) vaccine, utilize weakened forms of pathogens to closely resemble natural infections.
845
Biostatistics: Overview01:20

Biostatistics: Overview

646
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
646

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

Trajectory Landscapes for Therapeutic Strategy Design in Agent-Based Tumor Microenvironment Models.

IEEE control systems letters·2026
Same author

Protocol for generation, time-course imaging, and automated quality control of 3D spheroid invasion using TRACEQC.

STAR protocols·2026
Same author

Tumor-immune trajectory context connects static tissue architecture to clinical outcomes.

bioRxiv : the preprint server for biology·2026
Same author

Single-cell morphodynamical trajectories enable prediction of gene expression accompanying cell state change.

Cell systems·2026
Same author

Predicting anti-PD-1 immune checkpoint blockade response in melanoma patients with spatially aware machine learning models.

NPJ precision oncology·2026
Same author

ShinyEvents: harmonizing longitudinal data for real-world survival estimation.

NPJ precision oncology·2026
Same journal

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

Cell·2026
Same journal

Systematic discovery of pathogen effector functions across human pathogens and pathways.

Cell·2026
Same journal

Structural basis for host membrane binding and remodeling by invading malaria parasites.

Cell·2026
Same journal

Multiscale integration of tissue and chromatin context converts cell heterogeneity into stable intestinal patterning.

Cell·2026
Same journal

Arc mediates intercellular tau transmission via extracellular vesicles.

Cell·2026
Same journal

Electromagnetic field-inducible in vivo gene switch for remote spatiotemporal control of gene expression.

Cell·2026
関連記事をすべて見る

関連する実験動画

Updated: Dec 25, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.0K

機械学習が 生物医学を どう変えるか

Jeremy Goecks1, Vahid Jalili1, Laura M Heiser1

  • 1Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA.

Cell
|April 4, 2020
PubMed
まとめ
この要約は機械生成です。

機械学習 (ML) は 改善された臨床診断,精密治療,健康モニタリングのための 生物医学における 変革の可能性を秘めています 現在の課題を克服することで 個人のニーズに合わせた 個別化医療が可能になります

さらに関連する動画

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.6K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.3K

関連する実験動画

Last Updated: Dec 25, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.0K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.6K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.3K

科学分野:

  • バイオ医学
  • 人工知能
  • コンピュータ生物学

背景:

  • 機械学習 (ML) は医療に革命をもたらす可能性がますます探求されています.
  • 現在の医療慣行では 患者の個別の違いに合わせて パーソナライゼーションや適応能力が欠けていることが多いのです

研究 の 目的:

  • 臨床診断,精密治療,健康モニタリングの3つの主要な分野におけるMLの変革的な影響のビジョンを概説する.
  • これらの分野における早期の成功 ML アプリケーション,機会,課題について議論する.

主な方法:

  • この展望は,生物医学におけるMLに関する現在の研究と将来の予測をまとめています.
  • 診断,治療,健康モニタリングにおける既存のMLアプリケーションをレビューします.

主要な成果:

  • MLは診断の正確性と 治療戦略のパーソナライゼーションの改善に早期に成功しています
  • 継続的な健康モニタリングと疾病予防に MLの重要な機会が存在します.
  • 重要な課題はデータ統合,モデル解釈,臨床検証です.

結論:

  • 特定された課題に取り組むことで データ主導のパーソナライズド医療の新時代が始まるでしょう
  • MLは医療の検出,診断,治療の厳しさと適応性を高めることを約束しています.
  • 医療の未来は ML を通じて個人や環境要因に 絶えず適応することによって特徴づけられるでしょう