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Moe Elbadawi
Moe Elbadawi
Lecturer in Computational Physiology/Biomedicine, Queen Mary University London
qmul.ac.uk의 이메일 확인됨
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Connected healthcare: Improving patient care using digital health technologies
A Awad, SJ Trenfield, TD Pollard, JJ Ong, M Elbadawi, LE McCoubrey, ...
Advanced Drug Delivery Reviews 178, 113958, 2021
2802021
M3DISEEN: A novel machine learning approach for predicting the 3D printability of medicines
M Elbadawi, BM Castro, FKH Gavins, JJ Ong, S Gaisford, G Pérez, ...
International Journal of Pharmaceutics 590, 119837, 2020
1872020
Advanced machine-learning techniques in drug discovery
M Elbadawi, S Gaisford, AW Basit
Drug Discovery Today 26 (3), 769-777, 2021
1742021
Harnessing artificial intelligence for the next generation of 3D printed medicines
M Elbadawi, LE McCoubrey, FKH Gavins, JJ Ong, A Goyanes, S Gaisford, ...
Advanced Drug Delivery Reviews 175, 113805, 2021
1392021
Machine learning predicts 3D printing performance of over 900 drug delivery systems
BM Castro, M Elbadawi, JJ Ong, T Pollard, Z Song, S Gaisford, G Pérez, ...
Journal of Controlled Release 337, 530-545, 2021
1352021
Advancing pharmacy and healthcare with virtual digital technologies
SJ Trenfield, A Awad, LE McCoubrey, M Elbadawi, A Goyanes, S Gaisford, ...
Advanced Drug Delivery Reviews 182, 114098, 2022
1182022
3D printing tablets: Predicting printability and drug dissolution from rheological data
M Elbadawi, T Gustaffson, S Gaisford, AW Basit
International Journal of Pharmaceutics 590, 119868, 2020
992020
Disrupting 3D printing of medicines with machine learning
M Elbadawi, LE McCoubrey, FKH Gavins, JJ Ong, A Goyanes, S Gaisford, ...
Trends in pharmacological sciences 42 (9), 745-757, 2021
922021
Additive manufacturable materials for electrochemical biosensor electrodes
M Elbadawi, JJ Ong, TD Pollard, S Gaisford, AW Basit
Advanced Functional Materials 31 (10), 2006407, 2021
882021
Pressure-assisted microsyringe 3D printing of oral films based on pullulan and hydroxypropyl methylcellulose
M Elbadawi, D Nikjoo, T Gustafsson, S Gaisford, AW Basit
International Journal of Pharmaceutics 595, 120197, 2021
812021
Electrochemical biosensors: a nexus for precision medicine
TD Pollard, JJ Ong, A Goyanes, M Orlu, S Gaisford, M Elbadawi, AW Basit
Drug Discovery Today 26 (1), 69-79, 2021
792021
Harnessing machine learning for development of microbiome therapeutics
LE McCoubrey, M Elbadawi, M Orlu, S Gaisford, AW Basit
Gut Microbes 13 (1), 1872323, 2021
662021
Optical biosensors-Illuminating the path to personalized drug dosing
JJ Ong, TD Pollard, A Goyanes, S Gaisford, M Elbadawi, AW Basit
Biosensors and Bioelectronics 188, 113331, 2021
542021
Machine learning using multi-modal data predicts the production of selective laser sintered 3D printed drug products
Y Abdalla, M Elbadawi, M Ji, M Alkahtani, A Awad, M Orlu, S Gaisford, ...
International Journal of Pharmaceutics 633, 122628, 2023
442023
Polymeric additive manufacturing: the necessity and utility of rheology
M Elbadawi, JL Rivera-Armenta, BAS Cruz
Polymer Rheology 10, 43, 2018
392018
Machine learning and machine vision accelerate 3D printed orodispersible film development
CS O’Reilly, M Elbadawi, N Desai, S Gaisford, AW Basit, M Orlu
Pharmaceutics 13 (12), 2187, 2021
352021
Machine learning uncovers adverse drug effects on intestinal bacteria
LE McCoubrey, M Elbadawi, M Orlu, S Gaisford, AW Basit
Pharmaceutics 13 (7), 1026, 2021
342021
The role of artificial intelligence in generating original scientific research
M Elbadawi, H Li, AW Basit, S Gaisford
International Journal of Pharmaceutics 652, 123741, 2024
332024
Energy consumption and carbon footprint of 3D printing in pharmaceutical manufacture
M Elbadawi, AW Basit, S Gaisford
International Journal of Pharmaceutics 639, 122926, 2023
332023
Machine learning predicts electrospray particle size
F Wang, M Elbadawi, SL Tsilova, S Gaisford, AW Basit, M Parhizkar
Materials & Design 219, 110735, 2022
292022
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학술자료 1–20