The dawn of the new era in precise diagnostic devices and personalized cancer treatment is
intertwined with computational models capable of integrating biochemical factors and …

Tumour spheroids are widely used as an in vitro assay for characterising the dynamics and
response to treatment of different cancer cell lines. Their popularity is largely due to the …

This review explores the multifaceted landscape of renal cell carcinoma (RCC) by delving
into both mechanistic and machine learning models. While machine learning models …

Abstract Background Renal Cell Carcinoma (RCC) is difficult to treat with 5-year survival rate
of 10% in metastatic patients. Main reasons of therapy failure are lack of validated …

Metastatic tumor blood perfusion and interstitial fluid transport based on 3D
microvasculature response to inhibitory effect of angiostatin are investigated. 3D blood flow …

Cancer metastasis is the main cause of death in various types of cancer. However, in the
field of pharmacometrics, cancer disease progression models focus on the growth of primary …

Colorectal cancer and other cancers often metastasize to the liver in later stages of the
disease, contributing significantly to patient death. While the biomechanical properties of the …

Brain metastases (BMs) are associated with poor prognosis in non-small cell lung cancer
(NSCLC), but are only visible when large enough. Therapeutic decisions such as whole …

Interactions between different tumors within the same organism have major clinical
implications, especially in the context of surgery and metastatic disease. Three main …

This book explores outcome modeling in cancer from a data-centric perspective to enable a
better understanding of complex treatment response, to guide the design of advanced …