Over the past decade, targeted therapy for oncogene-driven NSCLC and immune
checkpoint inhibitors for non-oncogene-driven NSCLC, respectively, have greatly improved …

Longitudinal models of biomarkers such as tumour size dynamics capture treatment efficacy
and predict treatment outcome (overall survival) of a variety of anticancer therapies …

The procedure to diagnose anemia is time-consuming and resource-intensive due to the
existence of a multitude of symptoms that can be felt physically or seen visually. Anemia also …

Background. The neutrophil‐to‐lymphocyte ratio (NLR) and platelet‐to‐lymphocyte ratio
(PLR) are markers for systemic inflammation condition. Although NLR has emerged as a risk …

Background dNLR at the baseline (B), defined by neutrophils/[leucocytes-neutrophils],
correlates with immune-checkpoint inhibitor (ICI) outcomes in advanced non–small-cell lung …

Nonlinear joint models are a powerful tool to precisely analyse the association between a
nonlinear biomarker and a time‐to‐event process, such as death. Here, we review the main …

Paclitaxel/platinum chemotherapy, the backbone of standard first‐line treatment of advanced
non‐small cell lung cancer (NSCLC), exhibits high interpatient variability in treatment …

Standard endpoints such as objective response rate are usually poorly correlated with
overall survival (OS) for treatment with immune checkpoint inhibitors. Longitudinal tumor …

Background Lack of biomarkers and in vitro models has contributed to inadequate
understanding of the mechanisms underlying the inferior clinical response to immune …

Existing survival prediction models rely only on baseline or tumor kinetics data and lack
machine learning integration. We introduce a novel kinetics‐machine learning (kML) model …