AIMC Topic: Drug Compounding

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Data-smart machine learning methods for predicting composition-dependent Young's modulus of pharmaceutical compacts.

International journal of pharmaceutics Nov 7, 2020
The ability to predict mechanical properties of compacted powder blends of Active Pharmaceutical Ingredients (API) and excipients solely from component properties can reduce the amount of 'trial-and-error' involved in formulation design. Machine Lear...
Drug Compounding Chemistry, Pharmaceutical Elastic Modulus Machine Learning Tablets
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Robotic compounding versus manual compounding of chemotherapy: Comparing dosing accuracy and precision.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Aug 30, 2020
BACKGROUND: Cytostatic drugs are increasingly being prepared with a cytostatic robot, though it is not known whether the dose of the final product is more accurate after automated or manual preparation. This study is the first to compare accuracy and...
Robotic Surgical Procedures Drug Compounding Pharmacy Service, Hospital Antineoplastic Agents Robotics
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Modeling, design, and machine learning-based framework for optimal injectability of microparticle-based drug formulations.

Science advances Jul 8, 2020
Inefficient injection of microparticles through conventional hypodermic needles can impose serious challenges on clinical translation of biopharmaceutical drugs and microparticle-based drug formulations. This study aims to determine the important fac...
Machine Learning Injections Syringes Viscosity Drug Compounding
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Artificial Neural Network (ANN) Approach to Predict an Optimized pH-Dependent Mesalamine Matrix Tablet.

Drug design, development and therapy Jun 22, 2020
BACKGROUND: Severe bleeding and perforation of the colon and rectum are complications of ulcerative colitis which can be treated by a targeted drug delivery system.
Calcium Phosphates Drug Compounding Polymethacrylic Acids Neural Networks, Computer Hydrogen-Ion Concentration Tablets
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Robotically handled whole-tissue culture system for the screening of oral drug formulations.

Nature biomedical engineering Apr 27, 2020
Monolayers of cancer-derived cell lines are widely used in the modelling of the gastrointestinal (GI) absorption of drugs and in oral drug development. However, they do not generally predict drug absorption in vivo. Here, we report a robotically hand...
User-Computer Interface Caco-2 Cells Robotics Animals Swine Drug Evaluation, Preclinical Administration, Oral Permeability Oxytocin Biological Transport Humans Reproducibility of Results Drug Compounding Intestinal Absorption Jejunum Tissue Culture Techniques
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Monitoring Mixing Processes Using Ultrasonic Sensors and Machine Learning.

Sensors (Basel, Switzerland) Mar 25, 2020
Mixing is one of the most common processes across food, chemical, and pharmaceutical manufacturing. Real-time, in-line sensors are required for monitoring, and subsequently optimising, essential processes such as mixing. Ultrasonic sensors are low-co...
Food Analysis Drug Compounding Ultrasonics Deep Learning Support Vector Machine Machine Learning Algorithms Humans Neural Networks, Computer
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Formulation of Direct Compression Zidovudine Tablets to Correlate the SeDeM Diagram Expert System and the Rotary Press Simulator Styl'ONE Results.

AAPS PharmSciTech Nov 11, 2019
The SeDeM diagram expert system has been applied to study Zidovudine and some excipients. From the obtained diagrams, a pharmaceutical formula has been designed. SeDeM diagram ascertains the critical parameters that are suitable for a direct compress...
Powders Expert Systems Drug Industry Anti-HIV Agents Hardness Tests Excipients Drug Compounding Tablets Zidovudine
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Does artificial intelligence have the potential to transform drug formulation development?

Journal of controlled release : official journal of the Controlled Release Society Oct 14, 2019
Artificial Intelligence Drug Compounding Drug Development Drug Industry
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Delineating the effects of hot-melt extrusion on the performance of a polymeric film using artificial neural networks and an evolutionary algorithm.

International journal of pharmaceutics Sep 24, 2019
The aim of this study was to utilize an artificial neural network (ANN) in conjunction with an evolutionary algorithm to investigate the relationship between hot melt extrusion (HME) process parameters and vaginal film performance. Investigated HME p...
Drug Liberation Neural Networks, Computer Drug Compounding Hot Melt Extrusion Technology Chemistry, Pharmaceutical Drug Carriers Hot Temperature Polymers
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Optimization of the process variables of roller compaction, on the basis of granules characteristics (flow, mechanical strength, and disintegration behavior): an application of SeDeM-ODT expert system.

Drug development and industrial pharmacy Jul 5, 2019
The objective of the study was application of SeDeM-ODT expert system for optimization of process variables for roller compaction and for the preparation of granules with better flow, compressibility, and disintegration behavior. In the present study...
Drug Compounding Chemistry, Pharmaceutical Powders Particle Size Excipients Tensile Strength Expert Systems Tablets
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