Cancer progression is linked to gene-environment interactions that alter cellular
homeostasis. The use of biomarkers as early indicators of disease manifestation and …

The interest in machine learning (ML) has grown tremendously in recent years, partly due to
the performance leap that occurred with new techniques of deep learning, convolutional …

Brain tumors are a pernicious cancer with one of the lowest five-year survival rates.
Neurologists often use magnetic resonance imaging (MRI) to diagnose the type of brain …

Simple Summary The accelerating merger of information technology and cancer research
heralds the advent of novel methods and models for clinical decision making in oncology …

Computational models can be applied to optimize treatment schedules and model treatment
responses in cancer therapy. In this Review, we provide an overview of such computational …

Advancements in data-driven technologies and the inclusion of information-rich multiomics
features have significantly improved the performance of outcomes modeling in radiation …

A spatially-distributed continuous mathematical model of solid tumor growth and treatment
by fractionated radiotherapy is presented. The model explicitly accounts for the factors …

Simple Summary Mathematical tumor growth models have been proposed for decades to
capture the growth of gliomas, an aggressive form of brain tumor. However, the estimation of …

The goal of precision medicine is to provide individualized treatment at each stage of
chronic diseases, a concept formalized by Dynamic Treatment Regimes (DTR). These …

This Special Issue of Biomedicines, entitled “New insights in Radiotherapy”, compiles
insightful reviews on the state of the art on different aspects of radiation therapy, and also …