Home Pathology Metabolite Analysis IDs Pathways Associated With WTC-Lung Injury

Metabolite Analysis IDs Pathways Associated With WTC-Lung Injury

Machine learning approaches to metabolite analysis can predict key pathways contributing to lung function loss associated with World Trade Center Lung Injury
Machine learning approaches to metabolite analysis can predict key pathways contributing to lung function loss associated with World Trade Center Lung Injury

Findings in small study of firefighters with World Trade Center Lung Injury

FRIDAY, Sept. 7, 2018 (HealthDay News) — Machine learning approaches to metabolite analysis can predict key pathways contributing to lung function loss associated with World Trade Center Lung Injury (WTC-LI), according to a small study published online Sept. 3 in BMJ Open Respiratory Research.

RELATED ARTICLESMORE FROM AUTHOR