AIMC Topic: Tablets

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Characterizing the Impact of Spray Dried Particle Morphology on Tablet Dissolution Using Quantitative X-Ray Microscopy.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Jul 3, 2021
For oral solid dosage forms, disintegration and dissolution properties are closely related to the powders and particles used in their formulation. However, there remains a strong need to characterize the impact of particle structures on tablet compac...
Artificial Intelligence Particle Size Powders Microscopy, Electron, Scanning X-Rays Tablets Solubility
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Investigation into liquisolid system processability based on the SeDeM Expert System approach.

International journal of pharmaceutics Jun 30, 2021
Liquisolid systems are emerging formulation approach for poorly soluble drugs, based on adsorption/absorption of drug dispersion and obtaining free-flowing powder with good compressibility. SeDeM Expert System represents a powder processability evalu...
Povidone Solubility Powders Drug Liberation Expert Systems Tablets
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An insight into predictive parameters of tablet capping by machine learning and multivariate tools.

International journal of pharmaceutics Mar 2, 2021
Capping is the frequently observed mechanical defect in tablets arising from the sub-optimal selection of the formulation composition and their robustness of response toward process parameters. Hence, overcoming capping propensity based on the unders...
Machine Learning Porosity Elastic Modulus Drug Compounding Tensile Strength Tablets Powders
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Simultaneous spectrophotometric quantitative analysis of velpatasvir and sofosbuvir in recently approved FDA pharmaceutical preparation using artificial neural networks and genetic algorithm artificial neural networks.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 15, 2021
Two chemometric assisted spectrophotometric models were applied for the quantitative analysis of velpatasvir and sofosbuvir in their newly FDA approved pharmaceutical dosage form. The UV absorption spectra of velpatasvir and sofosbuvir showed certain...
Tablets Carbamates Neural Networks, Computer Antiviral Agents Heterocyclic Compounds, 4 or More Rings Spectrophotometry Sofosbuvir Humans
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Data-smart machine learning methods for predicting composition-dependent Young's modulus of pharmaceutical compacts.

International journal of pharmaceutics Nov 7, 2020
The ability to predict mechanical properties of compacted powder blends of Active Pharmaceutical Ingredients (API) and excipients solely from component properties can reduce the amount of 'trial-and-error' involved in formulation design. Machine Lear...
Drug Compounding Chemistry, Pharmaceutical Elastic Modulus Machine Learning Tablets
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Artificial Neural Network (ANN) Approach to Predict an Optimized pH-Dependent Mesalamine Matrix Tablet.

Drug design, development and therapy Jun 22, 2020
BACKGROUND: Severe bleeding and perforation of the colon and rectum are complications of ulcerative colitis which can be treated by a targeted drug delivery system.
Drug Compounding Polymethacrylic Acids Tablets Calcium Phosphates Neural Networks, Computer Hydrogen-Ion Concentration
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Determination of terazosin in the presence of prazosin: Different state-of-the-art machine learning algorithms with UV spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Apr 8, 2020
Counterfeit drugs have adverse effects on public health; chromatographic methods can be used but they are costly. In this study, we developed cost-effective and environmentally friendly methodology for the analysis of terazosin HCl (TZ) in the presen...
Counterfeit Drugs Prazosin Algorithms Bayes Theorem Green Chemistry Technology Spectrophotometry, Ultraviolet Tablets Neural Networks, Computer Machine Learning
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Application of Deep Learning Convolutional Neural Networks for Internal Tablet Defect Detection: High Accuracy, Throughput, and Adaptability.

Journal of pharmaceutical sciences Jan 23, 2020
Tablet defects encountered during the manufacturing of oral formulations can result in quality concerns, timeline delays, and elevated financial costs. Internal tablet cracking is not typically measured in routine inspections but can lead to batch fa...
Tomography, X-Ray Computed Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Tablets
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Formulation of Direct Compression Zidovudine Tablets to Correlate the SeDeM Diagram Expert System and the Rotary Press Simulator Styl'ONE Results.

AAPS PharmSciTech Nov 11, 2019
The SeDeM diagram expert system has been applied to study Zidovudine and some excipients. From the obtained diagrams, a pharmaceutical formula has been designed. SeDeM diagram ascertains the critical parameters that are suitable for a direct compress...
Powders Expert Systems Anti-HIV Agents Excipients Drug Compounding Hardness Tests Tablets Drug Industry Zidovudine
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Optimization of the process variables of roller compaction, on the basis of granules characteristics (flow, mechanical strength, and disintegration behavior): an application of SeDeM-ODT expert system.

Drug development and industrial pharmacy Jul 5, 2019
The objective of the study was application of SeDeM-ODT expert system for optimization of process variables for roller compaction and for the preparation of granules with better flow, compressibility, and disintegration behavior. In the present study...
Drug Compounding Powders Particle Size Chemistry, Pharmaceutical Expert Systems Tensile Strength Tablets Excipients
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