AIMC Topic: Excipients
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Feature extraction of particle morphologies of pharmaceutical excipients from scanning electron microscope images using convolutional neural networks.
International journal of pharmaceutics
Feb 7, 2024
Scanning electron microscopy (SEM) images are the most widely used tool for evaluating particle morphology; however, quantitative evaluation using SEM images is time-consuming and often neglected. In this study, we aimed to extract features related t...
Deep learning image analysis models pretrained on daily objects are useful for the preliminary characterization of particulate pharmaceutical samples.
Biotechnology and bioengineering
Jul 12, 2023
Visible and subvisible particles are a quality attribute in sterile pharmaceutical samples. A common method for characterizing and quantifying pharmaceutical samples containing particulates is imaging many individual particles using high-throughput i...
An overview of the implementation of SeDeM and SSCD in various formulation developments.
International journal of pharmaceutics
Feb 8, 2023
The Sediment Delivery Model explains experimental analysis and quantitative assessment of the powdered substance characterizing parameters, which offer pertinent data about the material's appropriateness for direct compression (DC) of tablet, which i...
A novel soft robotic pediatric in vitro swallowing device to gain insights into the swallowability of mini-tablets.
International journal of pharmaceutics
Nov 6, 2022
Soft robotics could help providing a better understanding of the mechanisms underpinning the swallowability of solid oral dosage forms (SODF), especially by vulnerable populations such as the elderly or children. In this study a novel soft robotic in...
Processability evaluation of multiparticulate units prepared by selective laser sintering using the SeDeM Expert System approach.
International journal of pharmaceutics
Oct 26, 2022
3D printing in dosage forms fabrication is in the focus of researchers, however, the attempts in multiparticulate units (MPUs) preparation are scarce. The aim of this study was to fabricate different size MPUs by selective laser sintering (SLS), usin...
Continuous Manufacturing and Molecular Modeling of Pharmaceutical Amorphous Solid Dispersions.
AAPS PharmSciTech
Sep 2, 2022
Amorphous solid dispersions enhance solubility and oral bioavailability of poorly water-soluble drugs. The escalating number of drugs with poor aqueous solubility, poor dissolution, and poor oral bioavailability is an unresolved problem that requires...
Pharmacotechnical Evaluation by SeDeM Expert System to Develop Orodispersible Tablets.
AAPS PharmSciTech
May 9, 2022
Sediment delivery model (SeDeM) system is innovative tool to correlate micromeritic properties of powders with compressibility. It involves computation of indices which facilitate direct compressibility of solids and enable corrective measures throug...
Application of machine learning to a material library for modeling of relationships between material properties and tablet properties.
International journal of pharmaceutics
Oct 6, 2021
This study investigates the usefulness of machine learning for modeling complex relationships in a material library. We tested 81 types of active pharmaceutical ingredients (APIs) and their tablets to construct the library, which included the followi...
Excipient knowledgebase: Development of a comprehensive tool for understanding the disposition and interaction potential of common excipients.
CPT: pharmacometrics & systems pharmacology
Aug 1, 2021
Although the use of excipients is widespread, a thorough understanding of the drug interaction potential of these compounds remains a frequent topic of current research. Not only can excipients alter the disposition of coformulated drugs, but it is l...
Predicting drug release from diazepam FDM printed tablets using deep learning approach: Influence of process parameters and tablet surface/volume ratio.
International journal of pharmaceutics
Mar 23, 2021
The aim of this study was to apply artificial neural networks as deep learning tools in establishing a model for understanding and prediction of diazepam release from fused deposition modeling (FDM) printed tablets. Diazepam printed tablets of variou...
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