Artificial intelligence (AI), a field of research in which computers are applied to mimic
humans, is continuously expanding and influencing many aspects of our lives. From electric …

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

Importance Existing criteria to estimate the benefit of a therapy in patients with cancer rely
almost exclusively on tumor size, an approach that was not designed to estimate survival …

The treatment and management of patients with metastatic melanoma have evolved
considerably in the “era” of personalized medicine. Melanoma was one of the first solid …

Clinical evaluation poorly predicts outcomes in lung cancer treated with immunotherapy.
The aim of the study is to assess whether CT-derived texture parameters can predict overall …

In the era of artificial intelligence and precision medicine, the use of quantitative imaging
methodological approaches could improve the cancer patient's therapeutic approaches …

Simple Summary The use of immunotherapeutic agents significantly improved stage-IV
melanoma patients' overall progression-free survival. To identify patients who do not benefit …

Immunotherapy is changing the treatment paradigm for cancer and has introduced new
challenges in medical imaging. Because not all patients benefit from immunotherapy …

Our aim was to analyse whether biomarkers extracted from baseline 18F-FDG PET before
anti-PD1 treatment contribute to prognostic survival information for early risk stratification in …

Simple Summary The incidence of metastatic melanoma is rising, making it imperative to
identify patients who do not benefit from immunotherapy. This study aimed to develop a …