A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic
{{output}}
Purpose: Dynamic network models predict clinical prognosis and inform therapeutic intervention by elucidating disease-driven aberrations at the systems level. However, the personalization of model predictions requires the profili... ...