AI Medical Compendium Journal:
International journal of pharmaceutics

Showing 1 to 10 of 74 articles

Deep learning-based image classification and quantification models for tablet sticking.

International journal of pharmaceutics May 6, 2025
Sticking can significantly affect drug product quality, manufacturing efficiency, and therapeutic efficacy in pharmaceutical tablet manufacturing. This study presents a novel integrated model with a convolutional neural network (CNN) and gray-level c...
Neural Networks, Computer Drug Compounding Technology, Pharmaceutical Excipients Deep Learning Support Vector Machine Tablets
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Prediction of plasma concentration-time profiles in mice using deep neural network integrated with pharmacokinetic models.

International journal of pharmaceutics Apr 16, 2025
Quantitative structure-activity relationship (QSAR) methods have emerged as powerful tools to streamline non-clinical pharmacokinetic (PK) studies, with extensive evidence demonstrating their potential to predict key in vivo PK parameters such as cle...
Administration, Intravenous Quantitative Structure-Activity Relationship Administration, Oral Pharmacokinetics Reproducibility of Results Animals Deep Learning Neural Networks, Computer Mice Computer Simulation Pharmaceutical Preparations Models, Biological
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A new era of psoriasis treatment: Drug repurposing through the lens of nanotechnology and machine learning.

International journal of pharmaceutics Feb 23, 2025
Psoriasis is a persistent inflammatory skin disorder characterized by hyper-proliferation and abnormal epidermal differentiation. Conventional treatments such as; topical therapies, phototherapy, systemic immune modulators, and biologics aim to relie...
Humans Nanotechnology Dermatologic Agents Animals Psoriasis Drug Repositioning Machine Learning Drug Delivery Systems
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Scale-independent solid fraction prediction in dry granulation process using a gray-box model integrating machine learning model and Johanson model.

International journal of pharmaceutics Feb 15, 2025
We propose a novel approach for predicting the solid fraction after roller compaction processes. It is crucial to predict and control the solid fraction, as it has a significant impact on the product quality. The solid fraction can be theoretically p...
Models, Statistical Particle Size Powders Machine Learning Chemistry, Pharmaceutical Drug Compounding Technology, Pharmaceutical
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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...
Neural Networks, Computer Technology, Pharmaceutical Tablets, Enteric-Coated Image Processing, Computer-Assisted Tablets Drug Compounding Deep Learning Convolutional Neural Networks
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Exploring a new paradigm for serum-accessible component rules of natural medicines using machine learning and development and validation of a direct predictive model.

International journal of pharmaceutics Jan 16, 2025
In the field of pharmaceutical research, Lipinski's Rule of Five (RO5) was once widely regarded as the prevailing standard for the development of novel drugs. Despite the fact that an increasing number of recently approved drugs no longer adhere to t...
Drug Discovery Biological Products Humans Machine Learning Reproducibility of Results Animals
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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 Cosmetics Chemistry, Pharmaceutical Freeze Drying Quality Control Drug Compounding Technology, Pharmaceutical
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How can language models assist with pharmaceuticals manufacturing deviations and investigations?

International journal of pharmaceutics Dec 18, 2024
Large Language Models (LLM) such as the Generative-Pretrained-Transformer (GPT) and Large-Language-Model-Meta-AI (LLaMA) have attracted much attention. There is strong evidence that these models perform remarkably well in various natural language pro...
Natural Language Processing Pharmaceutical Preparations Drug Industry Artificial Intelligence Models, Theoretical
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Artificial intelligence-driven hydrogel microneedle patches integrating 5-fluorouracil inclusion complex-loaded flexible pegylated liposomes for enhanced non-melanoma skin cancer treatment.

International journal of pharmaceutics Dec 13, 2024
The current study focused on the development of crosslinked hydrogel microneedle patches (cHMNs) incorporating 5-FU-hydroxypropyl beta-cyclodextrin inclusion complex-loaded flexible PEGylated liposomes (5-FU-HPβCD-loaded FP-LPs) to enhance treatment ...
Skin Absorption Transdermal Patch Skin Fluorouracil Polyethylene Glycols Cell Line, Tumor Mice Needles Antimetabolites, Antineoplastic 2-Hydroxypropyl-beta-cyclodextrin Hydrogels Liposomes Administration, Cutaneous Humans Artificial Intelligence Skin Neoplasms Drug Delivery Systems Animals
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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...
Drug Compounding Technology, Pharmaceutical Chemistry, Pharmaceutical Tensile Strength Excipients Neural Networks, Computer Models, Statistical Tablets
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