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Hypothesis generation is an early and critical step in any hypothesis-driven clinical research project. However, the process of hypothesis generation is less understood. In this talk, Dr. Jing will briefly introduce the VIADS (a Visual Interactive Analytic tool for filtering and summarizing large health Data Sets coded with hierarchical terminologies) [...]

As machine learning continues to revolutionize various scientific domains, its impact on epidemic time series forecasting has become increasingly significant. This talk examines how advanced machine learning methods can address several pressing challenges in epidemic forecasting, including capturing spatiotemporal disease dynamics, coping with limited data, and developing scalable tools for [...]

Explore an AI-driven framework that improves EHR note comprehension and promotes patient empowerment through enhanced health literacy, medical jargon translation, and support for positive behavioral change.

Explore a Clinical Informatics Conference panel on mid-career invisibility as a barrier to advancement and retention for women in clinical and health informatics, featuring strategies to support career growth and inclusive workplaces.