Artificial intelligence-enabled personalisation of oral drug delivery: From data-driven design to on-demand manufacturing.

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Bibliographic Details
Title: Artificial intelligence-enabled personalisation of oral drug delivery: From data-driven design to on-demand manufacturing.
Authors: Abdalla Y; UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK., Nandiraju LP; UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK., Yue H; UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK., De Monsales CB; UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK., Yeung C; UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK., Basit AW; UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK. Electronic address: a.basit@ucl.ac.uk.
Source: Advanced drug delivery reviews [Adv Drug Deliv Rev] 2026 Jun; Vol. 233, pp. 115855. Date of Electronic Publication: 2026 Mar 13.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Science Publishers, B.V Country of Publication: Netherlands NLM ID: 8710523 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8294 (Electronic) Linking ISSN: 0169409X NLM ISO Abbreviation: Adv Drug Deliv Rev Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-8294
DOI:10.1016/j.addr.2026.115855