Bretton Badenoch

This paper develops a framework combining machine learning and metabolic modeling to predict synergistic cancer therapies influenced by microbiome composition in colorectal cancer.

This study identifies shared metabolic changes across five longevity interventions in mice, highlighting ergothioneine and lipid remodeling as key features.

The paper uses machine learning to identify plasma metabolomic and proteomic features that distinguish slow-aging mice from controls, finding triglycerides with varying fatty acid chain lengths as key predictors.