This session explores key methodologies and advancements in using data-driven approaches to predict patient outcomes and guide clinical decisions. Experts discuss the integration of predictive models, biomarkers, and risk assessment tools in improving diagnostic accuracy, treatment planning, and patient management across various medical specialties. The session emphasizes the application of evidence-based practices and personalized medicine strategies to optimize healthcare delivery and enhance patient care outcomes. Attendees gain insights into cutting-edge research and practical implications for enhancing clinical decision-making processes in diverse healthcare settings.

Poster Professor:
Fares Alahdab (University of Missouri)