Heterogeneous associations between interleukin-6 receptor variants and phenotypes across ancestries and implications for therapy.
Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study.
Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records.
Comparing Insulin Against Glucagon-Like Peptide-1 Receptor Agonists, Dipeptidyl Peptidase-4 Inhibitors, and Sodium-Glucose Cotransporter 2 Inhibitors on 5-Year Incident Heart Failure Risk for Patients With Type 2 Diabetes Mellitus: Real-World Evidence …
Multisource representation learning for pediatric knowledge extraction from electronic health records.
Coordinated, multicellular patterns of transcriptional variation that stratify patient cohorts are revealed by tensor decomposition.
Multisource representation learning for pediatric knowledge extraction from electronic health records.
Phenome-wide profiling identifies genotype-phenotype associations in Phelan-McDermid syndrome using family-sourced data from an international registry.