A mathematical model to estimate chemotherapy concentration at the tumor-site and predict therapy response in colorectal cancer patients with liver metastases
… outcome, and thus our mathematical modeling approach can be … patients with solid tumors
who present with de novo … to help guide individualized patient care by estimating tumor site …
who present with de novo … to help guide individualized patient care by estimating tumor site …
Simulations of tumor growth and response to immunotherapy by coupling a spatial agent-based model with a whole-patient quantitative systems pharmacology model
… and biological aspects of modeling cancer. First, the coupling … of the tumor microenvironment
on solid tumor growth and … spatial and temporal comparisons of the immune response …
on solid tumor growth and … spatial and temporal comparisons of the immune response …
[HTML][HTML] … with a spatial quantitative systems pharmacology model spQSP for personalized prediction of triple-negative breast cancer immunotherapy response
… -based models (ABM) to simulate spatiotemporal tumor progression and simulation results
… Then, we simulate tumor progressions for all four virtual patient cohorts receiving nivolumab …
… Then, we simulate tumor progressions for all four virtual patient cohorts receiving nivolumab …
A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin
… demonstrate that our spatiotemporal modeling approach can … individualized measurements
of tumor cell dynamics in the … cell populations before and after chemotherapy with high …
of tumor cell dynamics in the … cell populations before and after chemotherapy with high …
Cell-level spatio-temporal model for a Bacillus Calmette–Guérin-based immunotherapy treatment protocol of superficial bladder cancer
T Lazebnik - Cells, 2022 - mdpi.com
… simulation of the proposed model for … of patients do not react to the treatment [68], we
believe that healthcare professionals can use our model to provide a better, more personalized …
believe that healthcare professionals can use our model to provide a better, more personalized …
Improving personalized tumor growth predictions using a Bayesian combination of mechanistic modeling and machine learning
… on a simulated dataset for glioma and two real cohorts of patients with … model 14,15 (‘full
model’) describe the spatio-temporal … to chemotherapy. In addition, we consider the age of the …
model’) describe the spatio-temporal … to chemotherapy. In addition, we consider the age of the …
Mathematical modeling of cancer immunotherapy for personalized clinical translation
… by representing the spatiotemporal averages of underlying (… , chemotherapy and migration
inhibitors in colorectal cancer … a mechanistic mathematical model of solid tumor ICI therapy …
inhibitors in colorectal cancer … a mechanistic mathematical model of solid tumor ICI therapy …
Evaluation of solid tumor response to sequential treatment cycles via a new computational hybrid approach
F Moradi Kashkooli, M Soltani - Scientific reports, 2021 - nature.com
… help grow personalized treatment and increase cancer patient … -scale spatio-temporal
computational modeling is employed … of modeling solid tumor treatment with chemotherapy drugs …
computational modeling is employed … of modeling solid tumor treatment with chemotherapy drugs …
Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data
… to realizing truly personalized care for cancer patients. … model that faithfully reproduces the
spatiotemporal dynamics … in solid tumors at the metastatic stage (114) and advanced prostate …
spatiotemporal dynamics … in solid tumors at the metastatic stage (114) and advanced prostate …
Multidimensional modeling of solid tumor proliferation following drug treatment: Toward computational prognosis as a tool to support oncology
MV De Bonis, L Lagonigro, F Marra… - Modeling of Mass …, 2022 - Elsevier
… and chemotherapeutic treatment, since not all tumor cells can … spatial and temporal evolution
of unchallenged solid tumors … multiple patients in a given cohort based on personalized data…
of unchallenged solid tumors … multiple patients in a given cohort based on personalized data…