Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology
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 …
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?
Highlights•Actionable alterations should be prioritized by using validated rankings for
treatment tailoring.•High-throughput genomics could refine drivers and find new targets, mini …
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
Driver mutations alter cells from normal to cancer through several evolutionary epochs:
premalignancy, early malignancy, subclonal diversification, metastasis and resistance to …
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 …
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 …
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
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 …
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
Cancer is a complex, dynamic disease that despite recent advances remains mostly
incurable. Intertumoral and intratumoral heterogeneities are generally considered major …
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 …
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
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 …
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
We provide an overview on the use of biological assays to calibrate and initialize
mechanism-based models of cancer phenomena. Although artificial intelligence methods …
mechanism-based models of cancer phenomena. Although artificial intelligence methods …