Predictive Growth Modeling
Predictive Growth Modeling is a computational or mathematical framework within tumor growth kinetics that quantitatively forecasts future tumor size or behavior based on prior dynamic data, distinguished by its emphasis on forward-looking accuracy and validation against empirical longitudinal observations.
147
Publications
7.3K
Citations
606
Authors
298
Institutions
Publications per year
2017–2026
56
Parents
147
1–5 of 147
606
9
h-index
7
h-index
7
h-index
National Institutes of Health Clinical Center, United States
6 publications · 313 citations
6
h-index
National Institutes of Health Clinical Center, United States
6 publications · 313 citations
6
h-index
1–5 of 606
298
The University of Texas at Austin
Austin, United States
11 h-index
45 publications
3K citations

Chung-Ang University
Seoul, South Korea
7 h-index
16 publications
235 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
5 h-index
7 publications
309 citations
Livestrong Foundation
Austin, United States
5 h-index
10 publications
396 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
13 publications
535 citations
National Cancer Institute
Bethesda, United States
4 h-index
7 publications
410 citations
Neurological Surgery
Rockville Centre, United States
4 h-index
4 publications
715 citations

Vanderbilt University
Nashville, United States
4 h-index
19 publications
2K citations
1–8 of 298
5 publications · 135 citations
5
h-index
4 publications · 278 citations
4
h-index
4 publications · 393 citations
4
h-index
4 publications · 81 citations
4
h-index
3 publications · 56 citations
3
h-index
1–5