Working Group Webinar Library
Webinar Library
ADSMoE: A mixture-of-experts-based transformer autoencoder for multi-modal Alzheimer’s Disease subtyping
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).
AI for Automatic Nutrition Estimation
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.
From Clinical Notes and Patient Narratives to Real-World Evidence: Case Studies and Evaluation Approaches for LLM-Based Clinical NLP Pipelines
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.
FACMI and FAMIA: What They Are and How to Prepare.
In this webinar, we will learn what FACMI and FAMIA are, why they matter, and how to prepare for a successful nomination. Presenters
From Models to Mission: Deploying National-Scale Clinical AI through VA–DOE Collaboration
Deploying NLP and machine learning in real-world health systems requires far more than model development—it demands scalable infrastructure, rigorous evaluation, and integration within complex operational environments.