Spatial Deep Learning Approach to Older Driver Classification.

Given telemetry datasets (e.g., GPS location, speed, direction, distance.

Gut flora metagenomic analysis coupled with metabolic and deep immune profiling in chronic kidney disease.

Background: Perturbation of gut microbiota has been linked to chronic kidney disease (CKD), which was correlated with a sophisticated milieu of metabolic and immune dysregulation.

Methods: To clarify the underlying host-microbe interaction in CKD, we performed multi-omics measurements, including systems-level gut microbiome, targeted serum metabolome and deep immunotyping, in a cohort of patients and non-CKD controls.

Results: Our analyses on functional profiles of the gut microbiome showed a decrease in the diversity and abundance of carbohydrate-active enzyme (CAZyme) genes but an increase in the abundance of antibiotic resistance, nitrogen cycling enzyme and virulence factor genes in CKD.