Predictive Preclinical Modeling
Predictive Preclinical Modeling is a formal scientific framework that systematically integrates reverse translation principles to extrapolate clinical outcomes from preclinical data, distinguished by its emphasis on bidirectional validation between therapeutic efficacy in human trials and underlying biological mechanisms observed in animal or in vitro models.
43
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2.8K
Citations
343
Authors
168
Institutions
Publications per year
2017–2026
24
Parents
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Stemness and chemoresistance in epithelial ovarian carcinoma cells under shear stress
Carman Ka Man Ip, Shanshan Li, Matthew Y. H. Tang et al. · Scientific Reports · 2016 · 133 citations · Full text
Medicine, Cell Biology, Oncology +17
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168
National Institutes of Health
Bethesda, United States
3 h-index
7 publications
249 citations
Pfizer (United States)
New York, United States
3 h-index
10 publications
484 citations

Great Ormond Street Hospital
London, United Kingdom
2 h-index
8 publications
178 citations

The University of Melbourne
Melbourne, Australia
2 h-index
7 publications
153 citations
Dana-Farber Cancer Institute
Boston, United States
2 h-index
12 publications
273 citations
Jackson Laboratory
Bar Harbor, United States
2 h-index
5 publications
146 citations
Sydney Children’s Hospitals Network
Sydney, Australia
2 h-index
7 publications
155 citations
University College London
London, United Kingdom
2 h-index
8 publications
178 citations
1–8 of 168
3 publications · 181 citations
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Repository · 3 publications · 170 citations
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3 publications · 111 citations
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2 publications · 27 citations
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1 publications · 10 citations
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