An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics

Predicting cell population-specific gene expression from genomic sequence

Personalized anomaly detection in PPG data using representation learning and biometric identification

Automatic patient-ventilator asynchrony detection framework using objective asynchrony definitions

A transcriptomic based deconvolution framework for assessing differentiation stages and drug responses of AML

Identifying Aging and Alzheimer Disease–Associated Somatic Variations in Excitatory Neurons From the Human Frontal Cortex

Technical Report: A Comprehensive Comparison between Different Quantification Versions of Nightingale Health’s 1H-NMR Metabolomics Platform

Reading Sites, Building Stories

Causal inference using observational intensive care unit data: a scoping review and recommendations for future practice

Machine learning–based biomarker profile derived from 4210 serially measured proteins predicts clinical outcome of patients with heart failure

scTopoGAN: unsupervised manifold alignment of single-cell data

Repetitive Control for Lur'e-Type Systems: Application to Mechanical Ventilation

Cell type deconvolution of methylated cell-free DNA at the resolution of individual reads

Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panels

Cell type matching across species using protein embeddings and transfer learning

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

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

Benchmarking variational AutoEncoders on cancer transcriptomics data