AIMC Topic: Drug Compounding

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Continuous Manufacturing and Molecular Modeling of Pharmaceutical Amorphous Solid Dispersions.

AAPS PharmSciTech Sep 2, 2022
Amorphous solid dispersions enhance solubility and oral bioavailability of poorly water-soluble drugs. The escalating number of drugs with poor aqueous solubility, poor dissolution, and poor oral bioavailability is an unresolved problem that requires...
Water Solubility Artificial Intelligence Chemistry, Pharmaceutical Excipients Biological Availability Drug Compounding
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Contribution of an anticancer drug compounding robot in reducing the risks of manual preparation in a hospital pharmacy unit specialized in oncology.

Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners Aug 8, 2022
INTRODUCTION: In the last few years, pharmaceutical technology has evolved. In the field of oncology pharmacy, robots for the preparation of anti-cancer drugs have appeared to progressively replace manual preparation. The objective of this study is t...
Robotics Drug Compounding Humans Antineoplastic Agents Pharmacy Pharmacy Service, Hospital
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Risk Assessment for a Twin-Screw Granulation Process Using a Supervised Physics-Constrained Auto-encoder and Support Vector Machine Framework.

Pharmaceutical research Aug 4, 2022
Quality risk management is an important task when it pertains to the pharmaceutical industry, as this is directly related to product performance. With the ICH Q9 guidelines, several regulatory bodies have encouraged the pharmaceutical industry to imp...
Physics Support Vector Machine Risk Assessment Drug Compounding Particle Size Technology, Pharmaceutical
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Machine Learning Analysis Provides Insight into Mechanisms of Protein Particle Formation Inside Containers During Mechanical Agitation.

Journal of pharmaceutical sciences Jul 11, 2022
Container choice can influence particle generation within protein formulations. Incompatibility between proteins and containers can manifest as increased particle concentrations, shifts in particle size distributions and changes in particle morpholog...
Antibodies, Monoclonal Drug Compounding Machine Learning Particle Size
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Real-time coating thickness measurement and defect recognition of film coated tablets with machine vision and deep learning.

International journal of pharmaceutics Jun 24, 2022
This paper presents a system, where images acquired with a digital camera are coupled with image analysis and deep learning to identify and categorize film coating defects and to measure the film coating thickness of tablets. There were 5 different c...
Quality Control Drug Compounding Technology, Pharmaceutical Chemistry, Pharmaceutical Deep Learning Tablets
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Pharmacotechnical Evaluation by SeDeM Expert System to Develop Orodispersible Tablets.

AAPS PharmSciTech May 9, 2022
Sediment delivery model (SeDeM) system is innovative tool to correlate micromeritic properties of powders with compressibility. It involves computation of indices which facilitate direct compressibility of solids and enable corrective measures throug...
Excipients Solubility Powders Tablets Expert Systems Drug Compounding
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Automated preparation of cytotoxic drugs: the evidence for an interface between the robot and computerized provider order entry?

European journal of hospital pharmacy : science and practice Mar 10, 2022
Humans Medical Order Entry Systems Antineoplastic Agents Drug Compounding Robotics Medication Errors
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A Strategy for the Effective Optimization of Pharmaceutical Formulations Based on Parameter-Optimized Support Vector Machine Model.

AAPS PharmSciTech Jan 31, 2022
Engineering pharmaceutical formulations is governed by a number of variables, and the finding of the optimal preparation is intricately linked to the exploration of a multiparametric space through a variety of optimization tasks. As a result, making ...
Least-Squares Analysis Neural Networks, Computer Drug Compounding Support Vector Machine Reproducibility of Results
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Testing Precision Limits of Neural Network-Based Quality Control Metrics in High-Throughput Digital Microscopy.

Pharmaceutical research Jan 26, 2022
OBJECTIVE: Digital microscopy is used to monitor particulates such as protein aggregates within biopharmaceutical products. The images that result encode a wealth of information that is underutilized in pharmaceutical process monitoring. For example,...
Protein Aggregates Image Processing, Computer-Assisted Proteins High-Throughput Screening Assays Neural Networks, Computer Microscopy Drug Compounding Reproducibility of Results
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Application of machine learning to a material library for modeling of relationships between material properties and tablet properties.

International journal of pharmaceutics Oct 6, 2021
This study investigates the usefulness of machine learning for modeling complex relationships in a material library. We tested 81 types of active pharmaceutical ingredients (APIs) and their tablets to construct the library, which included the followi...
Tablets Tensile Strength Machine Learning Excipients Drug Compounding
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