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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 comprehensive performance analysis of sequence-based within-sample testing NIPT methods
Consequences and opportunities arising due to sparser single-cell RNA-seq datasets
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
Determining epitope specificity of T-cell receptors with transformers
The correlation between neuropathology levels and cognitive performance in centenarians
Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearables
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
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
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