Tyler D. Myers

This study uses spatial transcriptomics to show that bladder carcinoma in situ has spatially structured cellular and metabolic heterogeneity within a single patient.

This study identifies distinct microbial and metabolic features in non-lesional acne skin using multi-omics analyses, showing molecular dysbiosis extends beyond visible lesions.

MetaMuse curates and harmonizes biomedical metadata using a multi-agent AI system, achieving high accuracy and scalability in standardizing unstructured data from repositories like GEO.

This paper introduces a self-supervised foundation model for single-cell transcriptomes that predicts gene sets from context and outperforms baselines in downstream tasks.

Revive-Flow predicts and reverses blood DNA methylation aging using a flow-matching model trained on epigenetic data, achieving high accuracy in rejuvenation.

The paper analyzes gut microbiome data from three countries to show diet-microbiota associations vary by location and strain.