AIMC Topic: Particle Size

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Risk Assessment for a Twin-Screw Granulation Process Using a Supervised Physics-Constrained Auto-encoder and Support Vector Machine Framework.

Pharmaceutical research Aug 4, 2022
Quality risk management is an important task when it pertains to the pharmaceutical industry, as this is directly related to product performance. With the ICH Q9 guidelines, several regulatory bodies have encouraged the pharmaceutical industry to imp...
Risk Assessment Support Vector Machine Technology, Pharmaceutical Physics Particle Size Drug Compounding
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A unified parameter model based on machine learning for describing microbial transport in porous media.

The Science of the total environment Jul 12, 2022
The transport and retention of microorganisms are typically described using attachment/detachment and straining/liberation models. However, the parameters in the models varied significantly, posing a significant challenge to describe microbial transp...
Porosity Machine Learning Particle Size
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Machine Learning Analysis Provides Insight into Mechanisms of Protein Particle Formation Inside Containers During Mechanical Agitation.

Journal of pharmaceutical sciences Jul 11, 2022
Container choice can influence particle generation within protein formulations. Incompatibility between proteins and containers can manifest as increased particle concentrations, shifts in particle size distributions and changes in particle morpholog...
Drug Compounding Machine Learning Particle Size Antibodies, Monoclonal
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On the Possibility of Designing an Advanced Sensor with Particle Sizing Using Dynamic Light Scattering Time Series Spectral Entropy and Artificial Neural Network.

Sensors (Basel, Switzerland) May 19, 2022
Dynamic Light Scattering is a well-established technique used in particle sizing. An alternative procedure for Dynamic Light Scattering time series processing based on spectral entropy computation and Artificial Neural Networks is described. An error...
Dynamic Light Scattering Neural Networks, Computer Time Factors Particle Size Entropy
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Formulation design and optimization of cationic-charged liposomes of brimonidine tartrate for effective ocular drug delivery by design of experiment (DoE) approach.

Drug development and industrial pharmacy May 19, 2022
OBJECTIVE: The present study was aimed to design and optimize brimonidine tartrate (BRT) loaded cationic-charged liposome formulation with enhanced trans-corneal drug permeation, prolonged corneal residence, and sustained drug release for effective o...
Lipids Liposomes Brimonidine Tartrate Drug Carriers Cornea Drug Delivery Systems Drug Liberation Particle Size
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Arithmetic optimization algorithm with deep learning enabled airborne particle-bound metals size prediction model.

Chemosphere May 14, 2022
Recently, heavy metal air pollution has received significant interest in computing the total concentration of every toxic metal. Chemical fractionation of possibly toxic substances in airborne particles becomes a vital element. Among the primary and ...
Humans Deep Learning Air Pollutants Particulate Matter Environmental Monitoring Particle Size Metals, Heavy
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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...
Tablets Neural Networks, Computer Multivariate Analysis Meloxicam Particle Size
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Deep learning in food science: An insight in evaluating Pickering emulsion properties by droplets classification and quantification via object detection algorithm.

Advances in colloid and interface science Apr 6, 2022
Understanding the complicated emulsion microstructures by microscopic images will help to further elaborate their mechanisms and relevance. The formidable goal of the classification and quantification of emulsion microstructure appears difficult to a...
Emulsions Food Technology Particle Size Deep Learning
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Prediction of the performance of pre-packed purification columns through machine learning.

Journal of separation science Mar 20, 2022
Pre-packed columns have been increasingly used in process development and biomanufacturing thanks to their ease of use and consistency. Traditionally, packing quality is predicted through rate models, which require extensive calibration efforts throu...
Machine Learning Particle Size Porosity Kinetics
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Generation of Interconnected Neural Clusters in Multiscale Scaffolds from Human-Induced Pluripotent Stem Cells.

ACS applied materials & interfaces Nov 17, 2021
The development of in vitro neural networks depends to a large extent on the scaffold properties, including the scaffold stiffness, porosity, and dimensionality. Herein, we developed a method to generate interconnected neural clusters in a multiscale...
Cross-Linking Reagents Humans Neural Networks, Computer Gels Induced Pluripotent Stem Cells Surface Properties Particle Size Neural Stem Cells Nanofibers Cell Differentiation
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