Jove
Visualize
联系我们

相关概念视频

Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

4.9K
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...
4.9K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

254
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...
254
Drug Therapy01:28

Drug Therapy

43
The advent of drug therapy has profoundly shaped modern mental health care, providing targeted treatments for a range of psychological disorders. Psychotherapeutic drugs, classified into antianxiety, antidepressant, and antipsychotic medications, address symptoms across anxiety disorders, mood disorders, and schizophrenia. While these medications have transformed patient outcomes, they require careful management due to their potential side effects and limitations.
Antianxiety Medications
43
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

70
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
70
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

69
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
69
Biopharmaceutics and Pharmacokinetics: Overview01:28

Biopharmaceutics and Pharmacokinetics: Overview

2.0K
Understanding drugs, drug products, and their performance in pharmaceutical science is pivotal. Drugs, whether simple molecules or complex compounds, are designed to interact with the body's biological systems to diagnose, treat, or prevent diseases. Drug products include various delivery systems such as tablets, capsules, injections, and inhalers. The performance of these drug products is gauged by their ability to deliver the active ingredient to the desired site of action at the...
2.0K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Multimorbidity Clusters Among People Aged 65 Years and Over in Australia: A Nationwide Cross-Sectional Data Linkage Study.

The Medical journal of Australia·2026
Same author

Identification of Potentially Inappropriate Medications for Adults Below 65 Years: Protocol for a Modified Delphi Study.

JMIR research protocols·2026
Same author

A qualitative exploration of healthcare professionals' perspectives on the role of pharmacists in screening older adults for depression during medication reviews.

International journal of clinical pharmacy·2026
Same author

Proxy reports on the EQ-5D-5L in residential aged care facilities: a validation study.

Health and quality of life outcomes·2026
Same author

SAGE (safer analgesia): a protocol for a pragmatic cluster randomised controlled trial to reduce the use of high-risk medicines in people with chronic back and/or neck pain.

BMJ open·2026
Same author

Australian Consensus Statement on the Prevention and Management of Frailty Among Community-Dwelling Older Adults: A Modified Delphi Study.

The Medical journal of Australia·2026
Same journal

Precision oncology: Computational methods for multi-omics data integration to improve drug response prediction.

Cambridge prisms. Precision medicine·2026
Same journal

Biomarker understanding first lessons from drug development for IgA-driven autoimmune and fibrotic diseases.

Cambridge prisms. Precision medicine·2026
Same journal

Artificial intelligence in breast cancer diagnosis: A systematic literature review.

Cambridge prisms. Precision medicine·2025
Same journal

Accelerating eSource scale-up in oncology clinical trials: The i~HD Task Force initiative.

Cambridge prisms. Precision medicine·2025
Same journal

Clinically actionable pharmacogenomic landscape of antidepressants and antipsychotics in Qatar: a population-based cohort study.

Cambridge prisms. Precision medicine·2025
Same journal

The challenges and opportunities of applying tumour mutational burden analysis to precision cancer medicine.

Cambridge prisms. Precision medicine·2025
查看所有相关文章
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jun 29, 2025

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

11.8K

多药房和精密医疗.

Kenji Fujita1, Nashwa Masnoon1, John Mach1

  • 1Departments of Clinical Pharmacology and Aged Care, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, NSW, Australia.

Cambridge prisms. Precision medicine
|March 29, 2024
PubMed
概括
此摘要是机器生成的。

精准医学通过考虑个体因素来优化药物使用. 将这一点应用于多药 (多种药物) 需要先进的药物相互作用预测模型和个性化治疗计划.

关键词:
精准医学是一门精准的医学.患者护理规划 患者护理规划个性化疗法 个性化治疗药物动力学 药物动力学多形态主义的多态主义.

更多相关视频

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

9.6K
Polymalic Acid-based Nano Biopolymers for Targeting of Multiple Tumor Markers: An Opportunity for Personalized Medicine?
14:20

Polymalic Acid-based Nano Biopolymers for Targeting of Multiple Tumor Markers: An Opportunity for Personalized Medicine?

Published on: June 13, 2014

16.7K

相关实验视频

Last Updated: Jun 29, 2025

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

11.8K
Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

9.6K
Polymalic Acid-based Nano Biopolymers for Targeting of Multiple Tumor Markers: An Opportunity for Personalized Medicine?
14:20

Polymalic Acid-based Nano Biopolymers for Targeting of Multiple Tumor Markers: An Opportunity for Personalized Medicine?

Published on: June 13, 2014

16.7K

科学领域:

  • 药物基因组学 药物基因组学
  • 临床药理学 临床药理学
  • 生物信息学是一种生物信息学.

背景情况:

  • 精准医学根据人口统计,临床,基因组和环境数据量身定制治疗方法.
  • 优化多药 (多种药物) 是复杂的,因为影响药物反应的许多相互作用因素.
  • 当前的精准医学方法受到多药学复杂性的挑战.

研究的目的:

  • 审查在多药学中精准医学的挑战和当前战略.
  • 总结有关预测药物相互作用 (DDI) 的文献.
  • 提出一种新的方法,用于精准医学在多药学.

主要方法:

  • 对最新的研究成果进行叙述性回顾.
  • 综合当前的精准医学在多药学中的方法.
  • 关于预测药物相互作用 (DDI) 的文献综述.

主要成果:

  • 确定了在应用精准医学到多药房的关键挑战.
  • 总结了关于DDI预测的现有方法和文献.
  • 提出了一个新型模型,将生物信息和临床数据集成为个性化多药.

结论:

  • 实施精密多药医疗需要将全面数据整合到电子病历中.
  • 临床医师培训对于解释药物遗传学和DDI预测数据至关重要.
  • 需要进一步的研究来验证拟议的模型广泛临床使用.