Distinct haemocytometric parameters, including cell activation markers, combined in a prognostic score may support early identification of COVID-19 patients likely to deteriorate and thus may benefit from ICU admission.

Gene copy number provides more prognostic information than gene mutation status in cancer.

Behavioral, pharmacological, optogenetic, electrophysiological and computational analyses suggest that the anterior dorsal striatum is a causal node in the network responsible for evidence accumulation.

The identification of SMA-miR supports the pathogenic role of skeletal muscle in spinal muscular atrophy and, integrated in the SMA-score, may help to improve the phenotypic prediction for patients.

The percentage of a tumor’s genome with alterations in copy number is correlated with increased mortality across a range of tumor types and can be measured using a clinically approved sequencing assay.

Radiomics allows automated quantification of the radiographic phenotype of a tumor across diverse patient cohorts and is connected to the underlying molecular pathway activities, which together determine the clinical outcome.

An unbiased transcriptomic analysis enhances understanding of inflammatory pathways and genes linked to TBM pathogenesis and mortality, identifying potential markers for poor prognosis or therapeutic targets.

This four-DNA methylation signature demonstrates potential as a novel independent prognostic indicator for risk-stratifying patients with CM.

Sociodemographic (age, race/ethnicity) and clinical (Eastern Cooperative Oncology Group performance status, pre-existing comorbidities, and active and progressing cancer) risk factors were associated with worse COVID-19 outcomes in patients with breast cancer.

Integrated molecular analysis demonstrated that colorectal cancer can be classified into four molecular subtypes (proliferative, immunomodulatory, immunosuppressed, and immune-excluded subtypes), providing valuable insight into the intricate relationship between tumor microenvironment heterogeneity and various clinical phenotypes.