Jove
Visualize
联系我们
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

相关概念视频

Drug Delivery: Miscellaneous Routes01:22

Drug Delivery: Miscellaneous Routes

338
Drug delivery methods like oral inhalation, nasal sprays, transdermal patches, eye drops, intravitreal injection,  and rectal administration provide localized effects with reduced toxicity.
Oral inhalation and nasal sprays swiftly transfer drugs across the respiratory epithelium's mucosal layer. Inhaled glucocorticoids and bronchodilators directly target lung conditions such as asthma, while fluticasone nasal spray mitigates allergic rhinitis.
Transdermal patches transport drugs...
338
Drug Delivery: Overview01:16

Drug Delivery: Overview

285
The selection of a drug's delivery route depends upon its physicochemical properties, including lipid or water solubility and ionization, as well as the therapeutic requirement, such as immediate or sustained effect. These routes can be divided into three primary categories: enteral, parenteral, and topical.
Enteral delivery involves administering drugs directly through swallowing, sublingual placement, or buccal application. Orally administered drugs predominantly navigate the...
285
Drug Delivery: Parenteral Route01:29

Drug Delivery: Parenteral Route

492
The parenteral route is a critical method of drug administration. It delivers compounds directly into the systemic circulation and bypasses the gastrointestinal tract. This approach is particularly advantageous for drugs that exhibit poor absorption or instability when administered orally.
There are three primary parenteral routes: intravenous (IV), intramuscular (IM), and subcutaneous (SC). The IV route introduces the drug directly into the bloodstream, ensuring immediate action. The IM route...
492
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

64
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
64
Drug Delivery: Enteral Route01:18

Drug Delivery: Enteral Route

417
The enteral drug administration involves three primary routes: oral, sublingual, and buccal. Oral ingestion is the most prevalent, safe, economical, and convenient method for drug administration. However, it has certain drawbacks, including limited absorption due to the drug's low water solubility or poor membrane permeability, possible emesis from GI mucosa irritation, destruction of drugs by digestive enzymes or low gastric pH, and irregular absorption along with food or other drugs.
417
Drug Absorption Mechanism: Carrier-Mediated Membrane Transport01:19

Drug Absorption Mechanism: Carrier-Mediated Membrane Transport

3.7K
Certain large, lipid-insoluble drug molecules that resemble amino acids, peptides, or glucose, require specialized carrier proteins to facilitate their diffusion across cell membranes. This transport can occur through either facilitated diffusion, which does not require energy input, or active transport, which does require energy input.
Facilitated diffusion is a passive process that utilizes human Solute Carrier (SLC) transporters. These transporters bind to the drug, undergo structural...
3.7K

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

A user's guide to your first self-driving liquid handling lab.

Digital discovery·2026
Same author

Automation-Assisted Photoinduced Atom Transfer Radical Polymerization.

ACS polymers Au·2026
Same author

Gene Delivery Mediated by Backbone-Degradable RAFT Copolymers.

Biomacromolecules·2026
Same author

Automated active learning to optimize hydrogel drug release profiles.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Gene Delivery Mediated by Backbone-Degradable RAFT Copolymers.

bioRxiv : the preprint server for biology·2025
Same author

SAXS Assistant: Automated SAXS analysis for structural discovery in biologics and polymeric nanoparticles.

Biophysical journal·2025
Same journal

Endogenous-metabolite-inspired polyamine-oleic acid lipids for safe mRNA delivery and PCSK9 gene editing.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same journal

Tunable rigid spikes on virus-like porous silica enable mechanistically controlled nanovaccine platforms.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same journal

Metabolic regulation-driven nanoparticles for tumor vulnerabilization and enhanced photodynamic therapy.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same journal

New approach methodologies (NAMs) for preclinical and translational evaluation of mRNA-lipid nanoparticle (LNP) therapeutics.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same journal

A cation-free platform based on azocalixarene poly(disulfide)s for direct cytosolic protein delivery.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same journal

Harnessing plant-derived extracellular vesicles for oral delivery: A dual role as natural therapeutics and engineered drug carriers.

Journal of controlled release : official journal of the Controlled Release Society·2026
查看所有相关文章

相关实验视频

Updated: Jun 23, 2025

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

8.2K

机器学习在药物输送中的应用.

Adam J Gormley1

  • 1Associate Professor, Department of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, United States.

Journal of controlled release : official journal of the Controlled Release Society
|June 23, 2024
PubMed
概括
此摘要是机器生成的。

人工智能和机器学习 (AI / ML) 提供了强大的工具来导航复杂的药物输送系统. 这些数据科学方法可以帮助揭示定量结构-功能关系,彻底改变治疗发展.

关键词:
人工智能的人工智能是人工智能.有控制释放的释放.药物输送是药物输送的过程.封装封装是一种封装.配方 配方 配方 是一个机器学习 机器学习

更多相关视频

Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols
15:04

Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols

Published on: May 20, 2016

10.9K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.4K

相关实验视频

Last Updated: Jun 23, 2025

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

8.2K
Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols
15:04

Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols

Published on: May 20, 2016

10.9K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.4K

科学领域:

  • 生物材料科学 生物材料科学
  • 制药科学 制药科学
  • 数据科学数据科学数据科学

背景情况:

  • 传统的药物输送优化依赖于手动实验和理性设计,它与复杂的,非线性药物物质相互作用作斗争.
  • "维度的诅咒"阻碍了复杂的药物输送系统中结构功能关系的理解.
  • 高通量选已被用于管理复杂性,但往往是低效的.

研究的目的:

  • 探索数据科学的潜在价值,特别是人工智能/机器学习 (AI/ML),在药物交付中.
  • 提出AI/ML作为一种补充工具,用于在药物输送研究中导航复杂的参数空间.
  • 鼓励采用数据科学方法进行定量结构功能关系分析.

主要方法:

  • 审查和讨论药物输送中的数据科学应用.
  • 专注于聚合物输送系统作为一个案例研究.
  • 强调AI/ML用于建模复杂数据和识别结构功能关系.

主要成果:

  • 人工智能/ML方法提供了强大的分析工具来建模复杂的药物输送数据.
  • 数据科学可以帮助确定定量结构-功能关系,克服传统方法的局限性.
  • 人工智能/ML可以帮助优化释放特征和设计有效的治疗方法.

结论:

  • 通过提供新的分析能力,AI/ML准备彻底改变药物输送科学.
  • 这些方法应该被视为增强机械学理解的宝贵工具,而不是取代机械学理解.
  • 采用数据科学方法可以导致药物交付研究和开发的范式转变.