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Related Concept Videos

Intrauterine Drug Delivery Systems01:21

Intrauterine Drug Delivery Systems

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Controlled-release systems for intravaginal and intrauterine drug delivery have been developed primarily for the administration of contraceptive steroid hormones. These delivery routes circumvent first-pass hepatic metabolism, thereby enhancing bioavailability and allowing for reduced systemic dosages compared to oral administration. Such approaches contribute to improved therapeutic efficacy and patient compliance, particularly in long-term contraceptive regimens.Intravaginal Drug Delivery...
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In Vitro Drug Release Testing: Overview, Development and Validation01:10

In Vitro Drug Release Testing: Overview, Development and Validation

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In vitro dissolution and drug release tests assess how quickly and how much of a drug is released from its dosage form into an aqueous medium under standardized laboratory conditions. These tests are essential tools in pharmaceutical development and quality assurance, offering insight into the drug's performance before clinical use.During formulation development, dissolution testing identifies incomplete or inconsistent drug release issues. It also supports decisions on selecting the optimal...
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Modified-Release Drug Delivery Systems: Stimuli-Activated01:30

Modified-Release Drug Delivery Systems: Stimuli-Activated

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Stimuli-activated drug delivery systems are designed to release drugs in response to specific physical, chemical, or biological stimuli. These systems often utilize hydrogels—three-dimensional, hydrophilic polymer networks capable of swelling in aqueous environments and retaining significant fluid volumes. Upon exposure to particular stimuli, these hydrogels undergo structural transitions that allow the embedded drug to be released. Due to this adaptive behavior, such systems are also...
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Oral Drug Delivery Systems: Introduction01:23

Oral Drug Delivery Systems: Introduction

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Oral drug delivery is the most common route of administration due to its convenience, cost-effectiveness, and high patient compliance. It enables precise formulation to ensure proper drug dosage and bioavailability. The development of oral dosage forms considers drug properties such as solubility, stability, and absorption to optimize therapeutic efficacy.Tablets, capsules, liquids, and chewable formulations enhance drug stability, mask undesirable tastes, and improve patient experience.
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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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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
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Formulation and Manufacturing Process: Physical Attributes of Generic Tablets and Capsules01:18

Formulation and Manufacturing Process: Physical Attributes of Generic Tablets and Capsules

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Bioequivalence in generic drugs, such as tablets and capsules, refers to their pharmaceutical equivalence to the brand-name counterparts. However, for therapeutic equivalence, manufacturers must also consider physical attributes like size, shape, and weight (FDA Guidance for Industry, December 2003). Discrepancies in these aspects could impact patient compliance and cause medication errors. For instance, swallowing difficulties, often experienced with larger tablets or capsules, can lead to...
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Related Experiment Video

Updated: May 1, 2026

Author Spotlight: Revolutionizing Research on Vaginal Microbiome Interactions Using a Vaginal Chip
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Author Spotlight: Revolutionizing Research on Vaginal Microbiome Interactions Using a Vaginal Chip

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Artificial intelligence and machine learning in smart vaginal formulation development.

Deborah A Ogundemuren1, Vivek Agrahari2, Andrew P Wong2

  • 1Department of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, University of Lagos, Lagos, Nigeria; MEDAFRICA GMP Laboratory, Faculty of Pharmacy, University of Lagos, Lagos, Nigeria.

Advanced Drug Delivery Reviews
|April 29, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) and machine learning (ML) can overcome challenges in vaginal drug delivery by accounting for biological variability. These technologies promise more effective and personalized women

Keywords:
Artificial intelligenceDrug delivery systemsIntravaginal administrationMachine learningVaginal microenvironmentWomen's health

Related Experiment Videos

Last Updated: May 1, 2026

Author Spotlight: Revolutionizing Research on Vaginal Microbiome Interactions Using a Vaginal Chip
08:15

Author Spotlight: Revolutionizing Research on Vaginal Microbiome Interactions Using a Vaginal Chip

Published on: February 16, 2024

3.7K

Area of Science:

  • Pharmacology and Pharmaceutics
  • Biotechnology
  • Women's Health

Background:

  • Vaginal drug delivery is complex due to the dynamic vaginal microenvironment (pH, hormones, microbiota).
  • Biological variability leads to inconsistent therapeutic outcomes and poor patient adherence.
  • Current vaginal formulations often fail to address individual patient differences.

Purpose of the Study:

  • To review the emerging role of AI and ML in vaginal drug delivery.
  • To explore AI/ML applications in designing advanced vaginal formulations.
  • To discuss challenges and future potential of AI/ML in women's health therapeutics.

Main Methods:

  • Literature review of AI/ML applications in vaginal drug delivery.
  • Analysis of factors influencing vaginal formulation performance (e.g., microbiota).
  • Consideration of ethical, regulatory, and technical challenges.

Main Results:

  • AI/ML enables data-driven formulation development considering biological variability.
  • AI/ML integration can improve predictability, efficiency, and reproducibility in formulation development.
  • Early research indicates AI/ML's potential to enhance vaginal drug delivery systems.

Conclusions:

  • AI/ML offers a promising approach to address limitations in current vaginal drug delivery.
  • Integration of AI/ML with digital health can lead to personalized vaginal medicines.
  • AI/ML has the potential to transform women's health outcomes through advanced drug delivery.