AIMC Topic: Drug Compounding

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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 Neural Networks, Computer Deep Learning Convolutional Neural Networks Technology, Pharmaceutical Tablets, Enteric-Coated
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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...
Machine Learning Drug Delivery Systems Animals Humans Liposomes Drug Compounding Chemistry, Pharmaceutical Drug Development Drug Liberation
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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...
Rivaroxaban Biological Availability Drug Compounding Factor Xa Inhibitors Neural Networks, Computer Drug Delivery Systems Nanoparticles Particle Size Lipids Solubility
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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...
Neural Networks, Computer Deep Learning Technology, Pharmaceutical Chemistry, Pharmaceutical Freeze Drying Cosmetics Quality Control Drug Compounding
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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...
Humans Machine Learning Algorithms Quantitative Structure-Activity Relationship Biopharmaceutics Solubility Permeability Computer Simulation Drug Compounding Drug Development Pharmaceutical Preparations
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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...
Chemistry, Pharmaceutical Excipients Hardness Tablets Drug Compounding Linear Models Algorithms Support Vector Machine Neural Networks, Computer 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 Technology, Pharmaceutical Excipients Chemistry, Pharmaceutical Neural Networks, Computer Models, Statistical Tablets Drug Compounding
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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...
Particle Size Solubility Drug Compounding Spray Drying Chemistry, Pharmaceutical Desiccation Neural Networks, Computer
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Machine learning strengthened formulation design of pharmaceutical suspensions.

International journal of pharmaceutics Nov 19, 2024
Many different formulation strategies have been investigated to oppose suboptimal treatment of long-term or chronic conditions, one of which are the nano- and microsuspensions prepared as long-acting injectables to prolong the release of an active ph...
Drug Stability Drug Compounding Chemistry, Pharmaceutical Excipients Suspensions Machine Learning Particle Size Nanoparticles Surface-Active Agents Polymers
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In silico formulation optimization and particle engineering of pharmaceutical products using a generative artificial intelligence structure synthesis method.

Nature communications Nov 7, 2024
Pharmaceutical drug dosage forms are critical for ensuring the effective and safe delivery of active pharmaceutical ingredients to patients. However, traditional formulation development often relies on extensive lab and animal experimentation, which ...
Anti-HIV Agents Cellulose Particle Size Humans Artificial Intelligence Drug Implants Tablets Computer Simulation Drug Compounding Chemistry, Pharmaceutical
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