Computer-extracted tumour characteristics have been incorporated into medical imaging
computer-aided diagnosis (CAD) algorithms for decades. With the advent of radiomics, an …

Purpose Long COVID, also known as post-acute sequelae of COVID-19, refers to the
constellation of long-term symptoms experienced by people suffering persistent symptoms …

Summary For a decade, The Cancer Genome Atlas (TCGA) program collected
clinicopathologic annotation data along with multi-platform molecular profiles of more than …

Radiomics, the high-throughput mining of quantitative image features from standard-of-care
medical imaging that enables data to be extracted and applied within clinical-decision …

Effective predictive biomarkers are needed to enable personalized medicine and increase
treatment efficacy and survival for cancer patients, thereby reducing toxic side effects and …

Prognostic factors are associated with the risk of future health outcomes in individuals with a
particular health condition or some clinical start point (eg, a particular diagnosis). Research …

QuPath is new bioimage analysis software designed to meet the growing need for a user-
friendly, extensible, open-source solution for digital pathology and whole slide image …

Misuse of statistics in medical and sports science research is common and may lead to
detrimental consequences to healthcare. Many authors, editors and peer reviewers of …

Background We have previously developed and confirmed a pragmatic molecular classifier
for endometrial cancers; ProMisE (Proactive Molecular Risk Classifier for Endometrial …

Assessment of tumor-infiltrating lymphocytes (TILs) in histopathologic specimens can
provide important prognostic information in diverse solid tumor types, and may also be of …