- Personalized anomaly detection in PPG data using representation learning and biometric identification
- An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics
- 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
- Machine learning–based biomarker profile derived from 4210 serially measured proteins predicts clinical outcome of patients with heart failure
- Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panels