Biostatistics and Medical Informatics Seminar with Rafael Ferreira (UW-Madison)

Dr. Ferreira will discuss two projects aimed at developing multi-modal machine learning systems for the early detection of SCK using exclusively prepartum data to predict postpartum risk. The first explores the integration of computer vision, wearable sensor data, and large language models (LLMs) for SCK prediction. The second extends this work by incorporating genomic data and proposing a cloud computing-based framework for automated, scalable data processing and integration.