Eric F. Lock

This study identifies how maternal diet and genetics influence the human milk metabolome, showing diet explains the most variation and uncovering genetic associations with specific metabolites.

The paper benchmarks 49 algorithms for predicting B. pertussis vaccination outcomes, finding that purpose-built models outperform literature-based ones due to better handling of nonlinearities and data preprocessing.

The paper identifies genetic loci influencing milk gene expression and links these to infant gut microbiome composition in breastfeeding mothers.

The paper investigates the association between human cytomegalovirus in breast milk and milk composition, infant gut microbiome, and infant growth.

This study identifies shared and disease-specific host-microbiome interactions in colorectal cancer, inflammatory bowel disease, and irritable bowel syndrome using machine learning.