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The multimodal linked independent component analysis promotes a more integrative understanding of transdiagnostic mechanisms of psychopathology.

Severe COVID-19 is characterised by a plasma proteomic biomarker signature, indicating innate immune activation, leucocyte–endothelial interactions, and epithelial injury.

Cumulative exposure to adverse childhood experiences is associated with lower adult resilience among women in a dose-dependent manner, independent of adult socioeconomic factors and social support, indicating that adult female resilience is consolidated in early life.

Text mining of complete EHRs for 14,017 diabetes patients and subsequent clustering led to phenotypically deep clusters, showing distinct glycemic profiles, comorbidities, and SNP association patterns.

Methylation pace of aging is a novel measure requiring only a blood sample that clinical-trial and observational studies can use to test if treatments modify how fast participants are aging.

Spectral clustering applied to risk trajectories of sepsis patients discovered four distinct clusters stratified by risk of septic shock, mortality, and treatments received prior to an abrupt physiological transition.

Patients exposed to ⍺1-AR antagonists have reduced risks of mechanical ventilation and death in lower respiratory tract infection-related illnesses, highlighting the need for prospective trials assessing ⍺1-AR antagonists' effectiveness in COVID-19.

Associations between plasma protein levels and DNA methylation patterns can be used to predict the onset of age-related chronic disease.

Long-term increased risks of arrhythmia and heart failure were found in breast cancer patients, while systemic adjuvant therapies including trastuzumab and anthracyclines were associated with the increased risk of heart failure.

Combined analyses of publicly available population-level variant data and detailed individual-level clinical data can be used to quantify the clinical impact of new SARS-CoV-2 variants in different settings.