AIMC Topic: Tablets

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Comparison of novel granulated pellet-containing tablets and traditional pellet-containing tablets by artificial neural networks.

Pharmaceutical development and technology
Novel granulated pellets technique was adopted to prepare granulated pellet-containing tablets (GPCT). GPCT and traditional pellet-containing tablets (PCT) were prepared according to 29 formulations devised by the Design Expert 7.0, with doxycycline ...

Development of machine learning models for estimation of disintegration time on fast-disintegrating tablets.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
The disintegration time for solid dosage oral formulations is directly influenced by diverse factors such as molecular properties, physical characteristics, excipient compositions, and formulation-specific attributes. This research addresses the chal...

Characterization of digital camera-based UV illumination fluorescent imaging for concentration measurement with limit of detection, specificity and precision.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Nowadays the increased need for pharmaceutics requires fast, cheap and reliable quality control systems to investigate the final product's quality. The generally used methods like high-pressure liquid chromatography (HPLC) and other coupled technique...

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...

A Green Synchronous Fluorescence Analysis Approach for Simultaneous Determination of the Co-formulated Antihypertensives, Bisoprolol, and Amlodipine. Application to Plasma Samples, Market Formulations, Content Uniformity Test, and Greenness Evaluation.

Luminescence : the journal of biological and chemical luminescence
In this study, we present a direct, sensitive, and green spectrofluorimetric approach for simultaneous measurement of bisoprolol fumarate (BSL) and amlodipine besylate (AMD) in their tablets and plasma. This approach measures the synchronized fluores...

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...

Impact of preoperative oral domperidone on gastric residual volume after clear fluid ingestion in patients scheduled for elective surgery: a randomized controlled trial.

Anaesthesiology intensive therapy
INTRODUCTION: Oral domperidone is a prokinetic drug that enhances gastric emptying, which has a positive effect in decreasing gastric residual volume (GRV), subsequently decreasing the risk of pulmonary aspiration. This study aimed to assess the effe...

A Data-Driven Approach to Predicting Tablet Properties after Accelerated Test Using Raw Material Property Database and Machine Learning.

Chemical & pharmaceutical bulletin
The purpose of this study was to develop a model for predicting tablet properties after an accelerated test and to determine whether molecular descriptors affect tablet properties. Tablets were prepared using 81 types of active pharmaceutical ingredi...