AIMC Topic: Drug Compounding

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Application of rheology to hot melt extrusion: Theory and practice.

International journal of pharmaceutics
Hot melt extrusion (HME) has become a key manufacturing method in the pharmaceutical industry for developing novel drug delivery systems, due to its solvent-free nature, ease of operation, and ability to achieve one-step molding and continuous proces...

Advancing Amorphous Solid Dispersions Design: Insights into Dissolution Kinetics via Thermodynamic Descriptor and Machine Learning.

Molecular pharmaceutics
Amorphous solid dispersions (ASD) are an effective strategy for enhancing the solubility and bioavailability of poorly soluble drugs. However, designing and optimizing ASD formulations often rely on extensive dissolution experiments without sufficie...

Recent advancements of Raman spectroscopy application in topical products.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
Topical products have gained popularity in the recent years. Diverse formulation types, complex composition, and thermodynamically instable nature present great challenges in the formulation development of topical products. The analytical methods ava...

Enhancing YOLOv8n with Mamba-like linear attention for defect detection and coating thickness analysis of irregular film tablet.

International journal of pharmaceutics
This study presents a real-time system that integrates deep learning and machine vision for defect detection and coating thickness measurement of irregularly shaped film-coated tablets. To overcome the accuracy and speed limitations of the traditiona...

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

International journal of pharmaceutics
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...

Advancing Pharmaceutical Science with Artificial Neural Networks: A Review on Optimizing Drug Delivery Systems Formulation.

Current pharmaceutical design
Drug Delivery Systems (DDS) have been developed to address the challenges associated with traditional drug delivery methods. These DDS aim to improve drug administration, enhance patient compliance, reduce side effects, and optimize target therapy. T...

A Review on the Recent Advancements and Artificial Intelligence in Tablet Technology.

Current drug targets
BACKGROUND: Tablet formulation could be revolutionized by the integration of modern technology and established pharmaceutical sciences. The pharmaceutical sector can develop tablet formulations that are not only more efficient and stable but also pat...

FormulationAI: a novel web-based platform for drug formulation design driven by artificial intelligence.

Briefings in bioinformatics
Today, pharmaceutical industry faces great pressure to employ more efficient and systematic ways in drug discovery and development process. However, conventional formulation studies still strongly rely on personal experiences by trial-and-error exper...

Artificial Intelligence in Drug Formulation and Development: Applications and Future Prospects.

Current drug metabolism
Artificial Intelligence (AI) has emerged as a powerful tool in various domains, and the field of drug formulation and development is no exception. This review article aims to provide an overview of the applications of AI in drug formulation and devel...

Optimization of metronidazole SR buccal tablet for gingivitis using genetic algorithm.

Pakistan journal of pharmaceutical sciences
Gingivitis is a condition that needs sustained concentration of antibiotic locally over extended period of time. The current study aimed to formulate and evaluate the sustained and localized release of metronidazole (MTZ) as mucoadhesive buccal table...