Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology

C Wu, G Lorenzo, DA Hormuth, EABF Lima… - Biophysics …, 2022 - pubs.aip.org
Digital twins employ mathematical and computational models to virtually represent a
physical object (eg, planes and human organs), predict the behavior of the object, and …

[HTML][HTML] Precision medicine in the era of multi-omics: can the data tsunami guide rational treatment decision?

M Aldea, L Friboulet, S Apcher, F Jaulin, F Mosele… - ESMO open, 2023 - Elsevier
Highlights•Actionable alterations should be prioritized by using validated rankings for
treatment tailoring.•High-throughput genomics could refine drivers and find new targets, mini …

Comprehensive analysis of tumour initiation, spatial and temporal progression under multiple lines of treatment

I Leshchiner, D Livitz, JF Gainor, D Rosebrock, O Spiro… - biorxiv, 2018 - biorxiv.org
Driver mutations alter cells from normal to cancer through several evolutionary epochs:
premalignancy, early malignancy, subclonal diversification, metastasis and resistance to …

Delineating the evolutionary dynamics of cancer from theory to reality

I Bozic, CJ Wu - Nature cancer, 2020 - nature.com
Uncovering and quantifying the laws of the evolutionary dynamics of cancer, in particular in
the context of specific genetic lesions and in individual patients, has the potential to …

Plasma-derived exosome proteins as novel diagnostic and prognostic biomarkers in neuroblastoma patients

M Morini, F Raggi, M Bartolucci, A Petretto, M Ardito… - Cells, 2023 - mdpi.com
Neuroblastoma (NB) is the most common extracranial solid tumor during infancy, causing up
to 10% of mortality in children; thus, identifying novel early and accurate diagnostic and …

Attacking tumors from all sides: personalized multiplex vaccines to tackle intratumor heterogeneity

FL Fennemann, IJM de Vries, CG Figdor… - Frontiers in …, 2019 - frontiersin.org
Tumor vaccines are an important asset in the field of cancer immunotherapy. Whether
prophylactic or therapeutic, these vaccines aim to enhance the T cell-mediated anti-tumor …

Modeling heterogeneous tumor growth dynamics and cell–cell interactions at single-cell and cell-population resolution

LA Harris, S Beik, PMM Ozawa, L Jimenez… - Current opinion in …, 2019 - Elsevier
Cancer is a complex, dynamic disease that despite recent advances remains mostly
incurable. Intertumoral and intratumoral heterogeneities are generally considered major …

Can artificial intelligence improve cancer treatments?

Y Derbal - Health Informatics Journal, 2022 - journals.sagepub.com
Artificial intelligence (AI) powered by the accumulating clinical and molecular data about
cancer has fueled the expectation that a transformation in cancer treatments towards …

Effect of intra‐and inter‐tumoral heterogeneity on molecular characteristics of primary IDH‐wild type glioblastoma revealed by single‐cell analysis

Z Xiong, Q Yang, X Li - CNS neuroscience & therapeutics, 2020 - Wiley Online Library
Aims To reveal the effects of intra‐and inter‐tumoral heterogeneity on characteristics of
primary IDH‐wild type glioblastoma cells. Methods Single‐cell RNA‐seq data were acquired …

Integrating quantitative assays with biologically based mathematical modeling for predictive oncology

AS Kazerouni, M Gadde, A Gardner, DA Hormuth… - Iscience, 2020 - cell.com
We provide an overview on the use of biological assays to calibrate and initialize
mechanism-based models of cancer phenomena. Although artificial intelligence methods …