Background Checkpoint inhibition has radically improved the perspective for patients with
metastatic cancer, but predicting who will not respond with high certainty remains difficult …

Strong rationale and a growing number of preclinical and clinical studies support combining
radiotherapy and immunotherapy to improve patient outcomes. However, several critical …

Objective Robust differentiation between infarcted and normal tissue is important for clinical
diagnosis and precision medicine. The aim of this work is to investigate the radiomic …

Purpose While there is still a significant need to identify potential biomarkers that can predict
which patients are most likely to respond to immunotherapy treatments, radiomic …

Background The new immunotherapies have not only changed the oncological therapeutic
approach but have also made it necessary to develop new imaging methods for assessing …

Simple Summary Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is
an important approach for the diagnosis and evaluation of breast cancer (BC) in clinical …

Purpose A reliable locoregional recurrence (LRR) prediction model is important for the
personalized management of head and neck cancers (HNC) patients who received …

This paper evaluates the nonlinear dynamics of a melanoma cancer model through the
iterative technique of finding compact invariant sets (LMCIS). The objective is to discover …

Background The emergence of immunotherapy has changed the treatment modality for
melanoma and prolonged the survival of many patients. However, a handful of patients …

Rationale and Objectives To analyse the MRI-based radiomics and delta-radiomics features
to establish radiomics models for predicting the radiographic progression of osteoarthritis …