We are rapidly approaching a future in which cancer patient digital twins will reach their
potential to predict cancer prevention, diagnosis, and treatment in individual patients. This …

Infantile hemangioma (IH) is the most prevalent benign vascular tumor in infants, with
distinct disease stages and durations. Despite the fact that the majority of IHs can regress …

Computational modeling of cancer can help unveil dynamics and interactions that are hard
to replicate experimentally. Thanks to the advancement in cancer databases and data …

The intricate network of interactions between cells and molecules in the tumor
microenvironment creates a heterogeneous ecosystem. The proximity of the cells and …

Simple Summary Osteosarcoma is the most common type of bone cancer seen in children to
young adults with poor prognosis. To find effective treatments, it is crucial to understand the …

The interactions between cells and molecules in the tumor microenvironment can give
insight into the initiation and progression of tumors and their optimal treatment options. In …

Breast cancer is a challenging global health problem among women. This study investigates
the intricate breast tumour microenvironment (TME) dynamics utilizing data from mammary …

In this study, we explore a multilayered structure in which the coupled oscillators of one layer
serve as a shared medium for an uncoupled population of neurons. The layers function …

Abstract Knowledge of the optical parameters of tumors is important for choosing the correct
laser treatment parameters. In this paper, optical properties and refraction indices of breast …

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