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 …

Despite many advances, metastatic disease remains essentially uncurable. Thus, there is an
urgent need to better understand mechanisms that promote metastasis, drive tumor …

Chimeric antigen receptor T cell (CAR-T) expansion and persistence vary widely among
patients and predict both efficacy and toxicity. However, the mechanisms underlying clinical …

Advances in immunotherapy have revolutionized the treatment of multiple cancers.
Unfortunately, tumors usually have impaired blood perfusion, which limits the delivery of …

Encouraging advances are being made in cancer immunotherapy modeling, especially in
the key areas of develo** personalized treatment strategies based on individual patient …

Radiotherapy is a primary therapeutic modality widely utilized with curative intent.
Traditionally tumor response was hypothesized to be due to high levels of cell death …

Cancer is a complex disease, responsible for a significant portion of global deaths. The
increasing prioritisation of know-why over know-how approaches in biological research has …

The objective of this work is to investigate analytical solutions of some models of cancer
tumors using the Laplace residual power series method (LRPSM). The proposed method …

Cancer is still one of the major causes of death worldwide. Even if its comprehension is
improving continuously, the complexity and heterogeneity of this group of diseases …

This article reviews the current knowledge and recent advancements in computational
modeling of the cell cycle. It offers a comparative analysis of various modeling paradigms …