AIMC Topic: Drug Compounding
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Analysis of production time and capacity for manual and robotic compounding scenarios for parenteral hazardous drugs.
European journal of hospital pharmacy : science and practice
Jun 21, 2024
BACKGROUND: The increasing amount of hazardous preparations in combination with shortages leads to a call for more efficient compounding methods. This research aims to evaluate the required amount of time, production capacity and direct labour costs ...
Exploring the Potential of Artificial Intelligence as a Facilitating Tool for Formulation Development in Fluidized Bed Processor: a Comprehensive Review.
AAPS PharmSciTech
May 13, 2024
This in-depth study looks into how artificial intelligence (AI) could be used to make formulation development easier in fluidized bed processes (FBP). FBP is complex and involves numerous variables, making optimization challenging. Various AI techniq...
Refining the rheological characteristics of high drug loading ointment via SDS and machine learning.
PloS one
May 9, 2024
This paper presents an optimized preparation process for external ointment using the Definitive Screening Design (DSD) method. The ointment is a Traditional Chinese Medicine (TCM) formula developed by Professor WYH, a renowned TCM practitioner in Jia...
AI-driven design of customized 3D-printed multi-layer capsules with controlled drug release profiles for personalized medicine.
International journal of pharmaceutics
Apr 12, 2024
Personalized medicine aims to effectively and efficiently provide customized drugs that cater to diverse populations, which is a significant yet challenging task. Recently, the integration of artificial intelligence (AI) and three-dimensional (3D) pr...
Rapid screening of ternary amorphous formulations by a spray drying robot.
International journal of pharmaceutics
Dec 23, 2023
Spray drying is commonly used for producing amorphous solid dispersions to improve drug solubility. The development of such formulations typically relies on comprehensive excipient and composition screening, which requires the preparation of many spr...
Artificial intelligence and classic methods to segment and characterize spherical objects in micrographs of industrial emulsions.
International journal of pharmaceutics
Nov 22, 2023
The stability of emulsions is a critical concern across multiple industries, including food products, agricultural formulations, petroleum, and pharmaceuticals. Achieving prolonged emulsion stability is challenging and depends on various factors, wit...
Aggregate Formation and Antibody Stability in Infusion Bags: The Impact of Manual and Robotic Compounding of Monoclonal Antibodies.
Journal of pharmaceutical sciences
Oct 13, 2023
Monoclonal antibodies (mAbs) can be damaged during the aseptic compounding process, with aggregation being the most prevalent form of degradation. Protein aggregates represent one of several risk factors for undesired immunogenicity of mAbs, which ca...
Revolutionizing drug formulation development: The increasing impact of machine learning.
Advanced drug delivery reviews
Sep 27, 2023
Over the past few years, the adoption of machine learning (ML) techniques has rapidly expanded across many fields of research including formulation science. At the same time, the use of lipid nanoparticles to enable the successful delivery of mRNA va...
Advancing algorithmic drug product development: Recommendations for machine learning approaches in drug formulation.
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Aug 9, 2023
Artificial intelligence is a rapidly expanding area of research, with the disruptive potential to transform traditional approaches in the pharmaceutical industry, from drug discovery and development to clinical practice. Machine learning, a subfield ...
Deep learning image analysis models pretrained on daily objects are useful for the preliminary characterization of particulate pharmaceutical samples.
Biotechnology and bioengineering
Jul 12, 2023
Visible and subvisible particles are a quality attribute in sterile pharmaceutical samples. A common method for characterizing and quantifying pharmaceutical samples containing particulates is imaging many individual particles using high-throughput i...
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