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Related Concept Videos

Factors Influencing Drug Absorption: Pharmaceutical Parameters01:28

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Solid dosage forms such as tablets and capsules undergo rigorous manufacturing processes to ensure stability and effectiveness. Their dissolution and absorption properties are influenced significantly by the choice of excipients (inactive ingredients that serve various roles in the formulation), and the methodology applied during production. The manufacturing parameters, such as compression force and granulation techniques, significantly affect dissolution rates. Elevated compression forces...
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Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
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Dissolution kinetics, an essential aspect of oral drug delivery, is significantly influenced by the drug's particle size. According to the Noyes-Whitney dissolution model, the dissolution rate correlates directly with the drug's surface area. The larger the surface area, the higher the drug's solubility in water, leading to a faster drug dissolution rate. Reducing particle size increases the effective surface area, enhancing the dissolution process. Micronization and nanosizing are...
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Polymorphism refers to the existence of a drug substance in multiple crystalline forms, known as polymorphs. Recently, this term has been expanded to include solvates (forms containing a solvent), amorphous forms (non-crystalline forms), and desolvated solvates (forms from which the solvent has been removed).
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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Formation of Dispersible Taohong Siwu Tablets
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Dataset development of pre-formulation tests on fast disintegrating tablets (FDT): data aggregation.

Mehri Momeni1, Saleh Rakhshani2, Mohammadreza Abbaspour2

  • 1Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

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|July 3, 2023
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Summary

This study aggregated 1982 fast disintegration tablet formulations into a comprehensive dataset. This dataset facilitates the development of predictive models for accelerating tablet manufacturing.

Keywords:
Data extractionDataset developmentDirect compressionFast disintegrating tabletsPre-formulationPredictive model

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Area of Science:

  • Pharmaceutical Sciences
  • Computational Chemistry
  • Drug Development

Background:

  • Tablet manufacturing is resource-intensive, requiring significant time and effort.
  • Artificial intelligence (AI) and predictive modeling offer potential to streamline tablet production.
  • A lack of comprehensive datasets hinders the application of predictive models in tablet formulation.

Purpose of the Study:

  • To aggregate and integrate fast disintegration tablet (FDT) formulations into a unified dataset.
  • To address the need for extensive data required for developing accurate predictive models.
  • To facilitate and accelerate the tablet manufacturing process through AI-driven insights.

Main Methods:

  • A systematic literature search was conducted between 2010-2020 using keywords related to tablet formulation and disintegration.
  • 1503 articles were retrieved from four databases, with 232 selected based on study criteria.
  • Data preprocessing involved unifying names and units, expert review for removing inappropriate formulations, and data tidying to create a clean dataset of 1982 FDT formulations.

Main Results:

  • A comprehensive dataset of 1982 fast disintegration tablet formulations was successfully created.
  • The dataset includes valuable information crucial for pharmaceutical research and drug discovery.
  • The methodology is adaptable for aggregating datasets of other dosage forms.

Conclusions:

  • The developed FDT formulation dataset is a valuable resource for pharmaceutical studies.
  • This aggregated data can significantly aid in the discovery and development of new drugs.
  • The approach provides a scalable method for building datasets for various pharmaceutical dosage forms.