The mathematics of cancer: integrating quantitative models
Mathematical modelling approaches have become increasingly abundant in cancer
research. The complexity of cancer is well suited to quantitative approaches as it provides …
research. The complexity of cancer is well suited to quantitative approaches as it provides …
The 2019 mathematical oncology roadmap
Whether the nom de guerre is Mathematical Oncology, Computational or Systems Biology,
Theoretical Biology, Evolutionary Oncology, Bioinformatics, or simply Basic Science, there is …
Theoretical Biology, Evolutionary Oncology, Bioinformatics, or simply Basic Science, there is …
Sex differences in GBM revealed by analysis of patient imaging, transcriptome, and survival data
W Yang, NM Warrington, SJ Taylor… - Science translational …, 2019 - science.org
Sex differences in the incidence and outcome of human disease are broadly recognized but,
in most cases, not sufficiently understood to enable sex-specific approaches to treatment …
in most cases, not sufficiently understood to enable sex-specific approaches to treatment …
Classical mathematical models for description and prediction of experimental tumor growth
Despite internal complexity, tumor growth kinetics follow relatively simple laws that can be
expressed as mathematical models. To explore this further, quantitative analysis of the most …
expressed as mathematical models. To explore this further, quantitative analysis of the most …
The biology and mathematical modelling of glioma invasion: a review
JCL Alfonso, K Talkenberger… - Journal of the …, 2017 - royalsocietypublishing.org
Adult gliomas are aggressive brain tumours associated with low patient survival rates and
limited life expectancy. The most important hallmark of this type of tumour is its invasive …
limited life expectancy. The most important hallmark of this type of tumour is its invasive …
Advances in glioblastoma multiforme treatment: new models for nanoparticle therapy
The most lethal form of brain cancer, glioblastoma multiforme, is characterized by rapid
growth and invasion facilitated by cell migration and degradation of the extracellular matrix …
growth and invasion facilitated by cell migration and degradation of the extracellular matrix …
Incidence of tumour progression and pseudoprogression in high-grade gliomas: a systematic review and meta-analysis
AW Abbasi, HE Westerlaan, GA Holtman… - Clinical …, 2018 - Springer
Background High-grade gliomas are the most common primary brain tumours.
Pseudoprogression describes the false appearance of radiation-induced progression on …
Pseudoprogression describes the false appearance of radiation-induced progression on …
Nanomedicine for glioblastoma: Progress and future prospects
Glioblastoma is the most aggressive form of brain tumor, accounting for the highest mortality
and morbidity rates. Current treatment for patients with glioblastoma includes maximal safe …
and morbidity rates. Current treatment for patients with glioblastoma includes maximal safe …
Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI
Glioblastoma (GBM) is a heterogeneous and lethal brain cancer. These tumors are followed
using magnetic resonance imaging (MRI), which is unable to precisely identify tumor cell …
using magnetic resonance imaging (MRI), which is unable to precisely identify tumor cell …
Tumor growth rate is an early indicator of antitumor drug activity in phase I clinical trials
Abstract Purpose: Response Evaluation Criteria in Solid Tumors (RECIST) evaluation does
not take into account the pretreatment tumor kinetics and may provide incomplete …
not take into account the pretreatment tumor kinetics and may provide incomplete …