Jiwon Woo

Siena aims to empower physicians with better tools to help women understand, prepare for, and navigate their path to menopause so they can live better lives. By leveraging a public NIH's Study of Women's Health Across the Nation (SWAN) data, our team engineered a machine learning model to forecast the age a woman will reach menopause. This is a significant breakthrough, as it can enable physicians to provide tailored education, care, and anticipatory guidance to manage future health risks. The Siena predictive model will allow for further development to forecast symptoms a woman might experience to better prepare her for her menopausal journey.