HIDA Lectures @ HIDSS4Health
Title: Synergies between mechanistic and data-driven models in medical research
Despite significant advances in machine learning, its application in medicine remains limited. The "big data but small data" paradox highlights key challenges: data are often inaccessible due to legal, ethical, or technical constraints, and lack standardization and curation. High-quality, large-scale labeled datasets are often missing, and biased datasets raise concerns about data coverage and fairness in algorithms.
This lecture will explore how computational modeling and mechanistic simulations can address these challenges by integrating with machine learning. We will present a mech...