Artificial Intelligence

Manual visual inspection is reliable in only 80% of cases. Such results have been reported by the FMEA (Failure Mode Effect Analysis) inspection process guidelines, taking into account multiple factors, such as time for observation, different viewing angles, different operator subjectivity, visual…
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Assessment and understanding of changes in particle size of active pharmaceutical ingredients (API) and excipients as a function of solid dosage form processing is an important but under-investigated area that can impact drug product quality. In this study, X-ray microscopy (XRM) was investigated as…
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Tablets are the most common dosage form of pharmaceutical products. While tablets represent the majority of marketed pharmaceutical products, there remain a significant number of patients who find it difficult to swallow conventional tablets. Such difficulties lead to reduced patient compliance.…
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Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally. From the different technologies, cyber tools including artificial intelligence, blockchain, virtual, and augmented reality, to name but a few, are providing significant benefits to patients and the…
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Artificial intelligence in the analysis of 4-dimensional micro-CT data – new insights into tablet disintegration Today’s research relies more and more on the generation and processing of large amounts of data. The challenge of processing big data gave rise to the application of artificial…
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Three-dimensional printing (3DP) is a transformative technology that is advancing pharmaceutical research by producing personalized drug products. However, advances made via 3DP have been slow due to the lengthy trial-and-error approach in optimization. Artificial intelligence (AI) is a technology…
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The influence of macromolecules in major eye disorders including retinal neovascularization, retinopathy, age-related macular degeneration, choroidal neovascularization, etc. offers substantial advantages in the development of formulations, designing of new delivery approaches, and setting of new…
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Highlights • Computational design of 3D-printed pharmaceutical tablets with multiple active ingredients. • Evolutionary algorithm implemented for solving the inverse problem of tablet dissolution. • Design space effectively searched for immediate-, delayed-, and step-wise release…
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Artificial intelligence (AI) is redefining how we exist in the world. In almost every sector of society, AI is performing tasks with super-human speed and intellect; from the prediction of stock market trends to driverless vehicles, diagnosis of disease, and robotic surgery. Despite this growing…
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Purpose Proper taste-masking formulation design is a critical issue for instant-dissolving tablets (IDTs). The purpose of this study is to use the electronic tongue to design the additives of the 3D printed IDTs to improve palatability. Methods A binder jet 3D printer was used to prepare…
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