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

Insulin: Dosing Regimen and Adverse Effects01:16

Insulin: Dosing Regimen and Adverse Effects

744
Insulin-replacement therapy usually includes both long-acting insulin (basal) and short-acting insulin (to cater to postprandial needs). In a diverse group of type 1 diabetes patients, the average daily insulin dose is typically 0.5-0.7 units/kg body weight. However, obese patients and pubertal adolescents may need more due to insulin resistance.
The basal dose constitutes about 40%-50% of the total daily dose, with the rest as premeal insulin. The mealtime insulin dose should mirror...
744
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

45.7K
VSEPR Theory for Determination of Electron Pair Geometries
45.7K
Interpreting R Charts01:22

Interpreting R Charts

348
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
348
Machines01:19

Machines

573
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
573
Interpreting Run Charts01:25

Interpreting Run Charts

3.2K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
3.2K
Dose Size and Dosing Frequency: Determination Methods01:21

Dose Size and Dosing Frequency: Determination Methods

287
Determining the optimal dose size and dosing frequency in pharmacotherapy is crucial for achieving therapeutic effectiveness while minimizing adverse effects. This article explores the methodologies employed in determining these parameters, focusing on their significance and interplay to tailor dosing regimens.Dose Size: Dose size refers to the amount of a drug administered in a single dose. It is determined based on the drug's pharmacodynamics and pharmacokinetics properties and...
287

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

Matrine targets Enolase 1 and regulates the glycolysis-lactylation axis to enhance cisplatin sensitivity in triple-negative breast cancer.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

Corrigendum to "Maimendong decoction modulates the PINK1/Parkin signaling pathway alleviates type 2 alveolar epithelial cells senescence and enhances mitochondrial autophagy to offer potential therapeutic effects for idiopathic pulmonary fibrosis" [J. Ethnopharmacol., 345, (9 April 2025), 119568].

Journal of ethnopharmacology·2026
Same author

Autofluorescence and deep learning in early disease detection: biological foundations, clinical applications, and future directions.

Frontiers in artificial intelligence·2026
Same author

Negative-Ion Mode MALDI-TOF MS Combined with Machine Learning for the Rapid Identification of Colistin-Resistant <i>E. cloacae</i> Complex.

ACS omega·2026
Same author

Regular Aerobic Exercise Can Effectively Ameliorate the Skeletal Muscle and Mitochondrial Function Impairments Caused by <i>bves</i> Deficiency in Zebrafish.

International journal of molecular sciences·2026
Same author

TrackRefine: A Plug-and-Play Decoupled Enhancement Framework for Online Multi-Object Tracking and Segmentation.

Sensors (Basel, Switzerland)·2026

関連する実験動画

Updated: Jan 28, 2026

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

8.7K

低用量メチルプレドニゾロンの効果予測における解釈可能な機械学習（英語）

Jisheng Zhang1, Yang Chen2, Aijun Zhang2

  • 1The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

iScience
|January 26, 2026
PubMed
まとめ

本研究では、長期にわたるCOVID治療の予測ツールを開発した。ロジスティック回帰モデルとノモグラムは、患者のアウトカムを改善するための低用量メチルプレドニゾロン療法の個別化に役立つ。

キーワード:
人工知能の応用治療法

さらに関連する動画

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

504
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

2.4K

関連する実験動画

Last Updated: Jan 28, 2026

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

8.7K
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

504
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

2.4K

科学分野:

  • 医学研究
  • 薬理学
  • 医療におけるデータサイエンス

背景:

  • 長期にわたるCOVIDは、治療選択肢が限られている複雑な多系統疾患である。
  • 低用量メチルプレドニゾロンに対する個々の反応は様々であり、予測ツールの必要性が高まっている。

研究 の 目的:

  • 低用量メチルプレドニゾロンを投与されている長期にわたるCOVID患者の予測モデルを開発・検証する。
  • 治療効果に影響を与える主要因を特定する。

主な方法:

  • 低用量メチルプレドニゾロンで治療された330人の長期にわたるCOVID患者の後ろ向き分析。
  • LASSO回帰を用いた機械学習モデルの開発。
  • トレーニング、テスト、外部データセットを用いた検証。

主要な成果:

  • ロジスティック回帰（LR）モデルは、データセット全体で安定した予測性能を示した（AUCは0.7198から0.8715の範囲）。
  • SHapley Additive exPlanations（SHAP）により、7つの主要な予測変数が特定された。
  • これらの変数に基づいて、臨床応用のためのノモグラムが構築された。

結論:

  • 開発されたLRモデルとノモグラムは、低用量メチルプレドニゾロンに対する長期にわたるCOVID治療反応を予測するための効果的なツールである。
  • これらのツールは、個別化された治療決定と臨床管理を支援する。
  • 慢性疾患管理における予測精度の向上に向けたさらなる研究が期待される。