AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Excipients

Showing 21 to 30 of 46 articles

Clear Filters

Quantitative analysis of excipient dominated drug formulations by Raman spectroscopy combined with deep learning.

Analytical methods : advancing methods and applications
Owing to the growing interest in the application of Raman spectroscopy for quantitative purposes in solid pharmaceutical preparations, an article on the identification of compositions in excipient dominated drugs based on Raman spectra is presented. ...

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
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...

Excipient knowledgebase: Development of a comprehensive tool for understanding the disposition and interaction potential of common excipients.

CPT: pharmacometrics & systems pharmacology
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...

Application of machine learning to a material library for modeling of relationships between material properties and tablet properties.

International journal of pharmaceutics
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...

Pharmacotechnical Evaluation by SeDeM Expert System to Develop Orodispersible Tablets.

AAPS PharmSciTech
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...

Continuous Manufacturing and Molecular Modeling of Pharmaceutical Amorphous Solid Dispersions.

AAPS PharmSciTech
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...

Processability evaluation of multiparticulate units prepared by selective laser sintering using the SeDeM Expert System approach.

International journal of pharmaceutics
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...

A novel soft robotic pediatric in vitro swallowing device to gain insights into the swallowability of mini-tablets.

International journal of pharmaceutics
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...

An overview of the implementation of SeDeM and SSCD in various formulation developments.

International journal of pharmaceutics
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...

Deep learning image analysis models pretrained on daily objects are useful for the preliminary characterization of particulate pharmaceutical samples.

Biotechnology and bioengineering
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...