AIMC Topic: Drug Compounding

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Machine Learning-Based Prediction of Drug Solubility in Lipidic Environments: The Sol_ME Tool for Optimizing Lipid-Based Formulations with a Preliminary Apalutamide Case Study.

AAPS PharmSciTech Feb 3, 2025
Lipid-based formulations are essential for enhancing drug solubility and bioavailability, yet selecting optimal lipid excipients for specific drugs remains challenging. This study introduces Sol_ME, a machine learning-based model designed to predict ...
Machine Learning Lipids Benzaldehydes Chemistry, Pharmaceutical Excipients Solubility Solvents Drug Compounding
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Integrating hyperspectrograms with class modeling techniques for the construction of an effective expert system: Quality control of pharmaceutical tablets based on near-infrared hyperspectral imaging.

Journal of pharmaceutical and biomedical analysis Jan 26, 2025
Near-infrared hyperspectral imaging (NIR-HSI) integrated with expert systems can support the monitoring of active pharmaceutical ingredients (APIs) and provide effective quality control of tablet formulations. However, existing quality control method...
Chemistry, Pharmaceutical Excipients Tablets Spectroscopy, Near-Infrared Quality Control Particle Size Powders Principal Component Analysis Expert Systems Drug Compounding Hyperspectral Imaging
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Deep learning-based defect detection in film-coated tablets using a convolutional neural network.

International journal of pharmaceutics Jan 18, 2025
Film-coating is a critical step in pharmaceutical manufacturing. Traditional visual inspections for film-coated tablet defect assessment are subjective, inefficient, and labor-intensive. We propose a novel approach utilizing machine learning and imag...
Image Processing, Computer-Assisted Tablets Drug Compounding Technology, Pharmaceutical Tablets, Enteric-Coated Neural Networks, Computer Deep Learning Convolutional Neural Networks
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'Applications of machine learning in liposomal formulation and development'.

Pharmaceutical development and technology Jan 11, 2025
Machine learning (ML) has emerged as a transformative tool in drug delivery, particularly in the design and optimization of liposomal formulations. This review focuses on the intersection of ML and liposomal technology, highlighting how advanced algo...
Animals Drug Development Drug Liberation Machine Learning Drug Delivery Systems Liposomes Drug Compounding Chemistry, Pharmaceutical Humans
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Preparation and optimisation of solid lipid nanoparticles of rivaroxaban using artificial neural networks and response surface method.

Journal of microencapsulation Jan 5, 2025
AIMS: This study aimed to improve rivaroxaban delivery by optimising solid lipid nanoparticles (SLN) for minimal mean diameter and maximal entrapment efficiency (EE), enhancing solubility, bioavailability, and the ability to cross the blood-brain bar...
Neural Networks, Computer Drug Delivery Systems Nanoparticles Factor Xa Inhibitors Solubility Rivaroxaban Particle Size Biological Availability Lipids Drug Compounding
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A deep learning approach to perform defect classification of freeze-dried product.

International journal of pharmaceutics Jan 3, 2025
Cosmetic inspection of freeze-dried products is an important part of the post-manufacturing quality control process. Traditionally done by human visual inspection, this method poses typical challenges and shortcomings that can be addressed with innov...
Freeze Drying Neural Networks, Computer Drug Compounding Deep Learning Technology, Pharmaceutical Cosmetics Chemistry, Pharmaceutical Quality Control
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FormulationBCS: A Machine Learning Platform Based on Diverse Molecular Representations for Biopharmaceutical Classification System (BCS) Class Prediction.

Molecular pharmaceutics Dec 8, 2024
The Biopharmaceutics Classification System (BCS) has facilitated biowaivers and played a significant role in enhancing drug regulation and development efficiency. However, the productivity of measuring the key discriminative properties of BCS, solubi...
Computer Simulation Drug Development Pharmaceutical Preparations Machine Learning Algorithms Quantitative Structure-Activity Relationship Humans Solubility Biopharmaceutics Permeability Drug Compounding
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Optimizing critical quality attributes of fast disintegrating tablets using artificial neural networks: a scientific benchmark study.

Drug development and industrial pharmacy Dec 8, 2024
OBJECTIVE: The objective of this study is to create predictive models utilizing machine learning algorithms, including Artificial Neural Networks (ANN), k-nearest neighbor (kNN), support vector machines (SVM), and linear regression, to predict critic...
Algorithms Drug Compounding Excipients Support Vector Machine Hardness Linear Models Neural Networks, Computer Tablets Chemistry, Pharmaceutical Machine Learning
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Modelling the effect of base component properties and processing conditions on mixture products using probabilistic, knowledge-guided neural networks.

International journal of pharmaceutics Dec 4, 2024
Development of materials by mixing different base components is a widespread methodology to create materials with improved properties compared to those of its base components. However, efficient determination of the properties of mixture-based materi...
Tensile Strength Excipients Drug Compounding Technology, Pharmaceutical Neural Networks, Computer Chemistry, Pharmaceutical Models, Statistical Tablets
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High-Speed Imaging-Based Particle Attribute Analysis of Spray-Dried Amorphous Solid Dispersions Using a Convolution Neural Network.

Molecular pharmaceutics Dec 2, 2024
Spray drying is a well-established method for preparing amorphous solid dispersion (ASD) formulations to improve the oral bioavailability of poorly soluble drugs. In addition to the characterization of the amorphous phase, particle attributes of spra...
Neural Networks, Computer Particle Size Solubility Drug Compounding Spray Drying Chemistry, Pharmaceutical Desiccation
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