Optimizing Environmental Sustainability in Pharmaceutical 3D Printing through Machine Learning.

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第一作者： Hanxiang,Li

第一单位： UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.

作者： Hanxiang,Li ^[1] ; Manal,E Alkahtani ^[2] ; Abdul,W Basit ^[1] ; Moe,Elbadawi ^[3] ; Simon,Gaisford ^[4]

作者单位： UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK. ^[1] UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK; Department of Pharmaceutics, College of Pharmacy, Prince Sattam bin Abdulaziz University, Alkharj 11942, Saudi Arabia. ^[2] UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK; School of Biological and Behavioural Sciences, Queen Mary University of London, Mile End Road, London E1 4DQ, UK. Electronic address: m.elbadawi@qmul.ac.uk. ^[3] UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK. Electronic address: s.gaisford@ucl.ac.uk. ^[4]

关键词 3D printing Artificial intelligence Digital manufacturing Energy consumption, Carbon footprint Healthcare 5.0 Pharmaceutical manufacturing Sustainability

DOI 10.1016/j.ijpharm.2023.123561

PMID 39492436

发布时间 2024-11-04

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International journal of pharmaceutics

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Optimizing Environmental Sustainability in Pharmaceutical 3D Printing through Machine Learning.

International journal of pharmaceutics

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International journal of pharmaceutics

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Optimizing Environmental Sustainability in Pharmaceutical 3D Printing through Machine Learning.

International journal of pharmaceutics

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International journal of pharmaceutics

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