The future of artificial intelligence in intensive care: moving from predictive to actionable AI

Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability

Single-cell reference mapping to construct and extend cell-type hierarchies

Percolate: An Exponential Family JIVE Model to Design DNA-Based Predictors of Drug Response

Epigenetic and Metabolomic Biomarkers for Biological Age: A Comparative Analysis of Mortality and Frailty Risk

Benchmarking variational AutoEncoders on cancer transcriptomics data

Benchmarking Outlier Detection Methods for Detecting IEM Patients in Untargeted Metabolomics Data

Proving compliance of satellite InSAR technology with geotechnical design codes

A hidden layer of structural variation in transposable elements reveals potential genetic modifiers in human disease-risk loci

A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history

New insights into the genetic etiology of Alzheimer’s disease and related dementias

Integration of metabolomics with genomics: Metabolic gene prioritization using metabolomics data and genomic variant (CADD) scores

Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as risk factors for Alzheimer’s disease

1H-NMR metabolomics-based surrogates to impute common clinical risk factors and endpoints

WisecondorFF: Improved Fetal Aneuploidy Detection from Shallow WGS through Fragment Length Analysis

The Effect of Phenotype and Genotype on the Plasma Proteome in Patients with Inflammatory Bowel Disease

pmTR database: Population matched (pm) germline allelic variants of T-cell receptor (TR) loci

Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study

Resilience and resistance to the accumulation of amyloid plaques and neurofibrillary tangles in centenarians: An age-continuous perspective

Correcting Differential Gene Expression Analysis for Cyto—Architectural Alterations in Substantia Nigra of Parkinson’s Disease Patients Reveals Known and Potential Novel Disease—Associated Genes and Pathways