AI Health Director of Data Science Ben Goldstein, PhD, and AI Health Faculty Affiliate Matt Engelhard, MD, PhD, will be presenting papers at the upcoming Machine Learning for Healthcare (MLHC) conference at the Mayo Clinic in Rochester, MN. The first paper, Borrowing from the Future: Enhancing Early Risk Assessment through Contrastive Learning (Sun, Engelhard, Goldstein), explores improved early risk prediction using contrastive learning methods. The second, Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model (Zhao, Engelhard), investigates modeling approaches that support both transparency and complexity in clinical data. Duke AI Faculty Council Member Ricardo Henao, PhD, will also be presenting a poster with colleague Mohd Ashhad titled Generating Accurate Synthetic Survival Data by Conditioning on Outcomes. LEARN MORE
