… “malignancy,” and we found that changes in the net rates of proliferation (ρ) and invasion (D)
are not always necessary for malignant progression… not required for malignant progression. …

… In silico models complement in vivo models. Research on tumor growth involves a
plethora of models each emphasizing isolated aspects of benign and malignant neoplasms. …

… in silico model, where we simulate GBM tumor cells using genomic profiling data. We use
this in silico tumor model … We then used the tumor model to predict sensitivity of patient-derived …

… This paper extends the previous in silico model by … Furthermore, the model concentrates
how the in silico … The data collected from in vitro and in silico experiments formulates an …

… aspects of the various kinds of benign and malignant neoplasms. The main challenges in …
In summary, ML can be used to improve in silico modeling, ranging from model validation to …

… As a result, successful individualized treatment of highly malignant and invasive cancers, …
recent computational modeling efforts (eg, continuum, discrete, and cellular automata models) …

… Computational models of cancer are being developed to aid both biological discovery
and clinical medicine. The development of these in silico models is facilitated by rapidly …

… In the last step (IV), we reflect results from 3D models by bioinformatical in silico models
that connect the two most frequently impaired common signaling pathways in this CRC …

… formed vasculature, a tumor may become malignant and rapidly invade local tissue, usually
… treatment, are ideal candidates for in silico (computer) modeling, which has the power to …

… The in silico prediction of malignant progression of tumour corresponded well with imaging
(MRI) and histologic data of three GBM patients who had approximately similar size of tumour …