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Dr. Yin presents ADSMoE, a novel transformer autoencoder that integrates multi-modal data—neuroimaging, genetic, protein, and clinical—to identify four biologically distinct Alzheimer's disease subtypes, validated across three major cohorts (ADNI, NACC, and UKBB).

NutriBench is a new benchmark dataset of ~12,000 annotated meal descriptions for testing AI nutrition estimation. Top LLMs matched human dietitian accuracy on carbohydrate estimation at a fraction of the time, showing strong potential for improving dietary guidance.

Large language models are transforming clinical NLP, but real-world healthcare pipelines still combine LLMs with traditional methods to turn clinical notes and patient narratives into structured evidence. This talk covers two active projects using this approach — one studying medication adherence across five diseases, another improving drug safety prediction — and discusses best practices for evaluating LLM systems in clinical settings.

In this webinar, we will learn what FACMI and FAMIA are, why they matter, and how to prepare for a successful nomination. Presenters

Nursing education is already using AI, but are we teaching it intentionally, ethically, and effectively? Join informatics leaders and interdisciplinary experts as we explore AI competencies, real teaching examples, and what AACN should consider next. Watch the Webinar Presenters