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 …
Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data
Despite the remarkable advances in cancer diagnosis, treatment, and management over the
past decade, malignant tumors remain a major public health problem. Further progress in …
past decade, malignant tumors remain a major public health problem. Further progress in …
Opportunities for improving brain cancer treatment outcomes through imaging-based mathematical modeling of the delivery of radiotherapy and immunotherapy
Immunotherapy has become a fourth pillar in the treatment of brain tumors and, when
combined with radiation therapy, may improve patient outcomes and reduce the …
combined with radiation therapy, may improve patient outcomes and reduce the …
Biologically-based mathematical modeling of tumor vasculature and angiogenesis via time-resolved imaging data
Simple Summary The recruitment of new vasculature via angiogenesis is a critical
component of tumor development, which fundamentally influences tumor growth and …
component of tumor development, which fundamentally influences tumor growth and …
Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth
Hybrid multiscale agent-based models (ABMs) are unique in their ability to simulate
individual cell interactions and microenvironmental dynamics. Unfortunately, the high …
individual cell interactions and microenvironmental dynamics. Unfortunately, the high …
Optimizing combination therapy in a murine model of HER2+ breast cancer
Human epidermal growth factor receptor 2 positive (HER2+) breast cancer is frequently
treated with drugs that target the HER2 receptor, such as trastuzumab, in combination with …
treated with drugs that target the HER2 receptor, such as trastuzumab, in combination with …
[HTML][HTML] Informing virtual clinical trials of hepatocellular carcinoma with spatial multi-omics analysis of a human neoadjuvant immunotherapy clinical trial
Human clinical trials are important tools to advance novel systemic therapies improve
treatment outcomes for cancer patients. The few durable treatment options have led to a …
treatment outcomes for cancer patients. The few durable treatment options have led to a …
Mathematical analysis of a model-constrained inverse problem for the reconstruction of early states of prostate cancer growth
The availability of cancer measurements over time enables the personalized assessment of
tumor growth and therapeutic response dynamics. However, many tumors are treated after …
tumor growth and therapeutic response dynamics. However, many tumors are treated after …
[HTML][HTML] A data assimilation framework to predict the response of glioma cells to radiation
J Liu, DA Hormuth, J Yang… - … and engineering: MBE, 2023 - ncbi.nlm.nih.gov
We incorporate a practical data assimilation methodology into our previously established
experimental-computational framework to predict the heterogeneous response of glioma …
experimental-computational framework to predict the heterogeneous response of glioma …
A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized via Time-Resolved Microscopy Data
Purpose Conventional radiobiology models, including the linear-quadratic model, do not
explicitly account for the temporal effects of radiation, thereby making it difficult to make time …
explicitly account for the temporal effects of radiation, thereby making it difficult to make time …