Formulation Data Mining
Formulation Data Mining is a computational methodology that systematically extracts, analyzes, and interprets patterns, relationships, and knowledge from formulation science data to optimize drug product development.
26
Publications
1K
Citations
101
Authors
48
Institutions
Publications per year
2017–2026
12
Parents
26
B. Van Snick, Jens Dhondt, K. Pandelaere et al. · International Journal of Pharmaceutics · 2018 · 100 citations
Drug intelligence based on MDMA tablets data
Céline Weyermann, Raymond Marquis, Céline Delaporte et al. · Forensic Science International · 2007 · 75 citations
Drug intelligence based on MDMA tablets data
Raymond Marquis, Céline Weyermann, Céline Delaporte et al. · Forensic Science International · 2008 · 68 citations
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48

Janssen (Belgium)
Beerse, Belgium
2 h-index
9 publications
552 citations
University of Minho
Braga, Portugal
2 h-index
6 publications
180 citations
Bundeskriminalamt
Wiesbaden, Germany
2 h-index
2 publications
143 citations
Drug Enforcement Administration
Springfield, United States
2 h-index
2 publications
143 citations
AstraZeneca (United Kingdom)
Cambridge, United Kingdom
2 h-index
4 publications
120 citations
Netherlands Forensic Institute
The Hague, Netherlands
2 h-index
2 publications
143 citations

University of Toronto
Toronto, Canada
2 h-index
5 publications
141 citations
Police of the Czech Republic
Prague, Czechia
2 h-index
2 publications
143 citations
1–8 of 48
4 publications · 236 citations
4
h-index
3 publications · 53 citations
3
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2 publications · 143 citations
2
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2 publications · 60 citations
2
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1 publications · 28 citations
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