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Machine learning using multi-modal data predicts the production of selective laser sintered 3D printed drug products

  • Published:2023-02 Issue: Volume:633 Page:122628
  • ISSN:0378-5173
  • Container-title:International Journal of Pharmaceutics
  • language:en
  • Short-container-title:International Journal of Pharmaceutics

Author:

Abdalla Youssef,Elbadawi Moe,Ji Mengxuan,Alkahtani Manal,Awad Atheer,Orlu Mine,Gaisford Simon,Basit Abdul W.

Funder

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Pharmaceutical Science

Reference71 articles.

1. Ensemble of surrogates and cross-validation for rapid and accurate predictions using small data sets;Alizadeh;AI. EDAM,2019

2. Connected healthcare: Improving patient care using digital health technologies;Awad;Adv. Drug. Deliv. Rev.,2021

3. Advances in powder bed fusion 3D printing in drug delivery and healthcare;Awad;Adv. Drug. Deliv. Rev,2021

4. 3D Printed Tablets (Printlets) with Braille and Moon Patterns for Visually Impaired Patients;Awad;Pharmaceutics,2020

5. Understanding the effects of formulation and process variables on the printlets quality manufactured by selective laser sintering 3D printing;Barakh Ali;Int. J. Pharm.,2019

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1. The role of artificial intelligence in generating original scientific research;International Journal of Pharmaceutics;2024-03

2. A perspective on 3D printing in the medical field;Annals of 3D Printed Medicine;2024-02

3. Rising role of 3D-printing in delivery of therapeutics for infectious disease;Journal of Controlled Release;2024-02

4. Artificial intelligence generates novel 3D printing formulations;Applied Materials Today;2024-02

5. AI-Driven Decision-Making Applications in Pharmaceutical Sciences;Advances in Media, Entertainment, and the Arts;2024-01-10
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