AIMC Topic: Tablets

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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...
Lasers Excipients Tablets Powders Expert Systems Drug Compounding
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Application of Deep-Learning Algorithm Driven Intelligent Raman Spectroscopy Methodology to Quality Control in the Manufacturing Process of Guanxinning Tablets.

Molecules (Basel, Switzerland) Oct 17, 2022
Coupled with the convolutional neural network (CNN), an intelligent Raman spectroscopy methodology for rapid quantitative analysis of four pharmacodynamic substances and soluble solid in the manufacture process of Guanxinning tablets was established....
Spectroscopy, Near-Infrared Deep Learning Tablets Quality Control Rosmarinic Acid Spectrum Analysis, Raman Least-Squares Analysis
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Real-time coating thickness measurement and defect recognition of film coated tablets with machine vision and deep learning.

International journal of pharmaceutics Jun 24, 2022
This paper presents a system, where images acquired with a digital camera are coupled with image analysis and deep learning to identify and categorize film coating defects and to measure the film coating thickness of tablets. There were 5 different c...
Deep Learning Tablets Technology, Pharmaceutical Quality Control Chemistry, Pharmaceutical Drug Compounding
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Metabonomic and transcriptomic analyses of glycosides tablet-induced hepatotoxicity in rats.

Drug and chemical toxicology May 23, 2022
We aimed to explore novel biomarkers involved in alterations of metabolism and gene expression related to the hepatotoxic effects of glycosides tablet (TGT) in rats. Rats were randomly divided into groups based on oral administration of TGTs for 6 w...
Chemical and Drug Induced Liver Injury Liver Tripterygium Tablets Transcriptome Biomarkers Drugs, Chinese Herbal Glycosides Rats Animals
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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...
Powders Expert Systems Tablets Solubility Drug Compounding Excipients
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UV/VIS imaging-based PAT tool for drug particle size inspection in intact tablets supported by pattern recognition neural networks.

International journal of pharmaceutics Apr 27, 2022
The potential of machine vision systems has not currently been exploited for pharmaceutical applications, although expected to provide revolutionary solutions for in-process and final product testing. The presented paper aimed to analyze the particle...
Particle Size Tablets Multivariate Analysis Meloxicam Neural Networks, Computer
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Process performance of a new liquid medication dispensing robot.

European journal of hospital pharmacy : science and practice Dec 2, 2021
OBJECTIVES: Liquid medications provide an alternative to splitting pills and dosages by measuring an amount of liquid rather than crushing tablets or opening capsules. Special attention should also be paid to specific patient groups with swallowing d...
France Robotics Tablets Humans
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Exploring the Underlying Mechanism of Shenyankangfu Tablet in the Treatment of Glomerulonephritis Through Network Pharmacology, Machine Learning, Molecular Docking, and Experimental Validation.

Drug design, development and therapy Nov 9, 2021
PURPOSE: This study aimed to explore the underlying mechanisms of Shenyankangfu tablet (SYKFT) in the treatment of glomerulonephritis (GN) based on network pharmacology, machine learning, molecular docking, and experimental validation.
Humans Tablets Machine Learning Antineoplastic Agents, Phytogenic Glomerulonephritis Cell Proliferation Drugs, Chinese Herbal Molecular Docking Simulation Medicine, Chinese Traditional Oxidative Stress
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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...
Drug Compounding Machine Learning Excipients Tensile Strength Tablets
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Use of machine learning in prediction of granule particle size distribution and tablet tensile strength in commercial pharmaceutical manufacturing.

International journal of pharmaceutics Sep 29, 2021
In the manufacturing of pharmaceutical Oral Solid Dosage (OSD) forms, Particle Size Distribution (PSD) and Tensile Strength (TS) are common in-process tests that are controlled in order to achieve the quality targets of the end-product. The Quality b...
Machine Learning Technology, Pharmaceutical Tablets Particle Size Tensile Strength Drug Compounding
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