Machine learning using multi-modal data predicts the production of selective laser sintered 3D printed drug products-Reference-Cited by-同舟云学术

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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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3. Smart laser Sintering: Deep Learning-Powered powder bed fusion 3D printing in precision medicine;International Journal of Pharmaceutics;2024-08

4. Optimization of 4D/3D printing via machine learning: A systematic review;Hybrid Advances;2024-08

5. 3D printed dosage forms, where are we headed?;Expert Opinion on Drug Delivery;2024-07-24

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