AIMC Topic: Drug Compounding

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Design of novel orotransmucosal vaccine-delivery platforms using artificial intelligence.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V Dec 28, 2020
The linings of the oral cavity are excellent needle-free vaccination sites, able to induce immune responses at distal sites and confer systemic protection. However, owing to the mucosal tissues' intrinsic characteristics, the design of effective anti...
Mouth Mucosa Administration, Buccal Administration, Sublingual Microspheres Adhesiveness Polymers THP-1 Cells Drug Liberation Drug Compounding Hydrogels Drug Design Biological Products Drug Carriers Humans Neural Networks, Computer
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Quantitative analysis of excipient dominated drug formulations by Raman spectroscopy combined with deep learning.

Analytical methods : advancing methods and applications Dec 11, 2020
Owing to the growing interest in the application of Raman spectroscopy for quantitative purposes in solid pharmaceutical preparations, an article on the identification of compositions in excipient dominated drugs based on Raman spectra is presented. ...
Pharmaceutical Preparations Drug Compounding Excipients Deep Learning Spectrum Analysis, Raman
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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.
Neural Networks, Computer Calcium Phosphates Hydrogen-Ion Concentration Drug Compounding Tablets Polymethacrylic Acids
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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...
Humans Jejunum Intestinal Absorption Tissue Culture Techniques Permeability Drug Compounding Robotics Oxytocin Drug Evaluation, Preclinical Administration, Oral Swine Reproducibility of Results Biological Transport User-Computer Interface Animals Caco-2 Cells
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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...
Support Vector Machine Food Analysis Ultrasonics Drug Compounding Machine Learning Algorithms Deep Learning 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...
Hardness Tests Zidovudine Drug Industry Excipients Anti-HIV Agents Tablets Powders Expert Systems Drug Compounding
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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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