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@@ -64,7 +64,7 @@ Predictive biomarkers from functional analysis of static data
Spatial multicellular models
- - Development of computational approaches to quantitatively characterise spatial localization of cell types in the tumor microenvironment using radiogenomics approaches, i.e., combining imaging features and gene expression. Tool: SPoTLIghT. Paper: Lapuente-Santana et al, npj Precision Oncology, 2024.
+ - Development of computational approaches to quantitatively characterise spatial localization of cell types in the tumor microenvironment combining imaging modalities (radiomics images, pathology slides) and molecular data. Tool: SPoTLIghT. Paper: Lapuente-Santana et al, npj Precision Oncology, 2024.
- Development of agent-based models to study how interactions between different cells in the TME coordinate tumour development and response to treatment. Models: Prostate cancer development, Prostate cancer androgen deprivation therapy. Papers: Passier et al, Cancer Research Communications, 2023, van Genderen et al, npj Systems Biology and Applications, 2024. See our cover artwork in the MathOnco newsletter.
@@ -93,8 +93,8 @@ Selected publications
Full list of publications can be be found here or in Google Scholar.
-
- Ó. Lapuente-Santana$, J. Kant$, F. Eduati. npj Precision Oncology, 2024. ($ co-first authors, # co-last authors)
+
+ Ó. Lapuente-Santana$, J. Kant$, F. Eduati. npj Precision Oncology, 2024. ($ co-first authors)
Ó. Lapuente-Santana$, G. Sturm$, J. Kant, M. Ausserhofer, C. Zack, M. Zopoglou, N. McGranahan, D. Rieder, Z. Trajanoski, N. F. d C. C. de Miranda, F. Eduati#, F. Finotello#. iScience, 2024. ($ co-first authors, # co-last authors)