Diffusion‐weighted imaging (DWI) is increasingly being incorporated into routine breast MRI
protocols in many institutions worldwide, and there are abundant breast DWI indications …

Whether the nom de guerre is Mathematical Oncology, Computational or Systems Biology,
Theoretical Biology, Evolutionary Oncology, Bioinformatics, or simply Basic Science, there is …

Increasing knowledge of intertumor heterogeneity, intratumor heterogeneity, and cancer
evolution has improved the understanding of anticancer treatment resistance. A better …

We hypothesize that convolutional neural networks (CNN) can be used to predict
neoadjuvant chemotherapy (NAC) response using a breast MRI tumor dataset prior to …

Nanoparticles promise to improve the treatment of cancer through their increasingly
sophisticated functionalisations and ability to accumulate in certain tumours. Yet recent work …

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 …

Introduction: A defining hallmark of cancer is aberrant cell proliferation. Efforts to understand
the generative properties of cancer cells span all biological scales: from genetic deviations …

High-grade gliomas are an aggressive and invasive malignancy which are susceptible to
treatment resistance due to heterogeneity in intratumoral properties such as cell proliferation …

Pathologic complete remission after neoadjuvant chemotherapy has a role in guiding the
management of breast cancer. The present meta-analysis examined the accuracy of contrast …

Prostate cancer and benign prostatic hyperplasia are common genitourinary diseases in
aging men. Both pathologies may coexist and share numerous similarities, which have …