This work lead by Olatomiwa Bifarin, Samyukta Sah, David Gaul, and Samuel Moore entitled “Machine Learning Reveals Lipidome Remodeling Dynamics in a Mouse Model of Ovarian Cancer” published in Journal of Proteome Research tracks the alterations in the metabolome of mice models using machine learning and demonstrates how differences in metabolite flux between ovarian cancer severity/outcome can be leveraged to develop more accurate early detection methodologies. Check it out using the link below: