AIMC Topic: Technology, Pharmaceutical
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Inkjet Printing of Pharmaceuticals.
Advanced materials (Deerfield Beach, Fla.)
Dec 12, 2023
Inkjet printing (IJP) is an additive manufacturing process that selectively deposits ink materials, layer-by-layer, to create 3D objects or 2D patterns with precise control over their structure and composition. This technology has emerged as an attra...
Image-based simultaneous particle size distribution and concentration measurement of powder blend components with deep learning and machine vision.
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Oct 15, 2023
This work presents a system, where deep learning was used on images captured with a digital camera to simultaneously determine the API concentration and the particle size distribution (PSD) of two components of a powder blend. The blend consisted of ...
In-line particle size measurement during granule fluidization using convolutional neural network-aided process imaging.
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Aug 13, 2023
This paper presents a machine learning-based image analysis method to monitor the particle size distribution of fluidized granules. The key components of the direct imaging system are a rigid fiber-optic endoscope, a light source and a high-speed cam...
Application of unsupervised and supervised learning to a material attribute database of tablets produced at two different granulation scales.
International journal of pharmaceutics
May 20, 2023
The purpose of this study is to demonstrate the usefulness of machine learning (ML) for analyzing a material attribute database from tablets produced at different granulation scales. High shear wet granulators (scale 30 g and 1000 g) were used and da...
Considering inelasticity in the real-time monitoring of particle size for twin-screw granulation via acoustic emissions.
International journal of pharmaceutics
Apr 11, 2023
A recently developed process analytical technology (PAT) using artificial intelligence to form the framework of its model, combining frequency-domain acoustic emissions (AE) and elastic impact mechanics to accurately predict complex particle size dis...
Investigations into the use of machine learning to predict drug dosage form design to obtain desired release profiles for 3D printed oral medicines.
Pharmaceutical development and technology
Feb 16, 2023
Three-dimensional (3D) printing, digitalization, and artificial intelligence (AI) are gaining increasing interest in modern medicine. All three aspects are combined in personalized medicine where 3D-printed dosage forms are advantageous because of th...
Recent Advances in the Applications of Additive Manufacturing (3D Printing) in Drug Delivery: A Comprehensive Review.
AAPS PharmSciTech
Feb 9, 2023
There has been a tremendous increase in the investigations of three-dimensional (3D) printing for biomedical and pharmaceutical applications, and drug delivery in particular, ever since the US FDA approved the first 3D printed medicine, SPRITAM® (lev...
Machine learning using multi-modal data predicts the production of selective laser sintered 3D printed drug products.
International journal of pharmaceutics
Jan 20, 2023
Three-dimensional (3D) printing is drastically redefining medicine production, offering digital precision and personalized design opportunities. One emerging 3D printing technology is selective laser sintering (SLS), which is garnering attention for ...
Interpretable artificial neural networks for retrospective QbD of pharmaceutical tablet manufacturing based on a pilot-scale developmental dataset.
International journal of pharmaceutics
Jan 18, 2023
As the pharmaceutical industry increasingly adopts the Pharma 4.0. concept, there is a growing need to effectively predict the product quality based on manufacturing or in-process data. Although artificial neural networks (ANNs) have emerged as power...
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...
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