Purpose Prediction of immunotherapy response and outcome in patients with non-small cell
lung cancer (NSCLC) is challenging due to intratumoral heterogeneity and lack of robust …

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

Purpose To evaluate the potential role of texture-based radiomics analysis in differentiating
Coronavirus Disease-19 (COVID-19) pneumonia from pneumonia of other etiology on Chest …

Simple Summary The introduction of immune checkpoint inhibitors has represented a
milestone in cancer treatment. Despite PD-L1 expression being the standard biomarker …

Background Clinical trials have shown immunotherapy (IO) to be more effective than
chemotherapy in pre-treated, advanced non-small cell lung cancer (NSCLC). However …

Although more than a decade has passed since the approval of immune checkpoint
inhibitors (ICIs) for the treatment of melanoma and non-small-cell lung, breast and …

Objectives To evaluate the diagnostic performance of multiple machine learning classifier
models derived from first-order histogram texture parameters extracted from T1-weighted …

Introduction Despite comprising many cancer diagnoses, few treatments are suitable for
patients with advanced non-small cell lung cancer (aNSCLC). Trials suggest blockade of …

Objective To assess the prognostic performance of two quantitative CT (qCT) techniques in
idiopathic pulmonary fibrosis (IPF) compared to established clinical measures of disease …

Simple Summary There is a need to demonstrate additional clinical value/utility for PET/MRI
in oncology which moves beyond simple diagnosis. We believe that our currently submitted …