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Artificial Intelligence
Revolutionizing Drug Formulation Development: The Increasing Impact of Machine Learning
Abstract
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 vaccines in the recent COVID-19 pandemic…
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Investing in automated visual inspection and sorting machines: costs, risks and performance…
Introduction
Pharmaceutical companies are increasingly investing in automated visual inspection and sorting machines in order to replace subjective and costly manual sorting. These machines need to efficiently replace human hands by automatic mechanical manipulators, human eyes by digital video…
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Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design
Abstract
Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic knowledge and provides expedited solutions to complex challenges. Remarkable advancements in AI technology and machine learning present a transformative opportunity in the drug discovery,…
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Control of drug release kinetics from hot-melt extruded drug-loaded polycaprolactone matrices
Sustained local delivery of meloxicam by polymeric structures is desirable for preventing subacute inflammation and biofilm formation following tissue incision or injury. Our previous study demonstrated that meloxicam release from hot-melt extruded (HME) poly(ε-caprolactone) (PCL) matrices could be…
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Investigating structural attributes of drug encapsulated microspheres with quantitative X-ray…
The intra-sphere and inter-sphere structural attributes of controlled release microsphere drug products can greatly impact their release profile and clinical performance. In developing a robust and efficient method to characterize the structure of microsphere drug products, this paper proposes X-ray…
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Foundation models for generalist medical artificial intelligence
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI) models is likely to usher in newfound capabilities in medicine. We propose a new paradigm for medical AI, which we refer to as generalist medical AI (GMAI). GMAI models will be capable of carrying out a…
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Considering inelasticity in the real-time monitoring of particle size for twin-screw granulation via…
A recently developed process analytical technology (PAT) using artificial intelligence to form the framework of its model, combining frequency-domain acoustic emissions (AE) and elastic impact mechanics to accurately predict complex particle size distributions (PSD) in real-time. This model was…
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The Future of Drug Delivery
Drug delivery technologies have been proven to improve treatment outcomes in many ways, including enhancing therapeutic efficacy, reducing toxicity, increasing patient compliance, and enabling entirely new medical treatments. As the therapeutic landscape has evolved from small-molecule drugs to a…
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Machine learning using multi-modal data predicts the production of selective laser sintered 3D…
Three-dimensional (3D) printing is drastically redefining medicine production, offering digital precision and personalized design opportunities. One emerging 3D printing technology is selective laser sintering (SLS), which is garnering attention for its high precision, and compatibility with a wide…
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Real-time droplet size analysis using laser micrometer as a process analytical technology tool for…
Process analysis and monitoring during the manufacturing of the dripping pills are essential. However, research on developing sensor-based technology or process analytical technology (PAT) tools to analyze and monitor the dripping process is minimal. The purpose of this work is to develop a fast and…
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