Artificial Intelligence For Formulation
Artificial Intelligence for Formulation is a computational methodology that applies artificial intelligence techniques to the design, optimization, and analysis of drug formulations by integrating physicochemical, biological, and engineering knowledge within the domain of Drug Formulation Informatics.
119
Publications
4.9K
Citations
463
Authors
176
Institutions
Publications per year
2017–2026
65
Parents
119
Machine learning models to accelerate the design of polymeric long-acting injectables
Pauric Bannigan, Zeqing Bao, Riley J. Hickman et al. · Nature Communications · 2023 · 214 citations · Full text
Rania A. Hashad, Rania A.H. Ishak, Sherif F. Fahmy et al. · International Journal of Biological Macromolecules · 2016 · 140 citations
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176
Aristotle University of Thessaloniki
Thessaloniki, Greece
6 h-index
20 publications
998 citations

University of Macau
Macao, Macao
5 h-index
25 publications
1.9K citations

University of Bradford
Bradford, United Kingdom
5 h-index
12 publications
581 citations

Hoshi University
Tokyo, Japan
5 h-index
23 publications
1.2K citations

University of Toronto
Toronto, Canada
4 h-index
22 publications
2.2K citations
Ebara (Japan)
Tokyo, Japan
4 h-index
19 publications
1.1K citations
University College London
London, United Kingdom
3 h-index
15 publications
504 citations
Islamic Azad University North Tehran Branch
Tehran, Iran
3 h-index
10 publications
150 citations
1–8 of 176
8 publications · 272 citations
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6 publications · 238 citations
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EJPB · 6 publications · 449 citations
6
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5 publications · 236 citations
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4 publications · 220 citations
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