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AMIA 2025 Informatics Summit Year In Review

Translational Bioinformatics and Data Science

Tuesday, March 11, 2025 | 8:30-10:00 am

The Translational Bioinformatics Year-in-Review (TBI Year-in-Review) is an annual presentation given by Nicholas Tatonetti, PhD at the AMIA Summit. The talk reviews trends in the translational bioinformatics (TBI) literature, aiming to provide a snapshot of the current state of the field, recognize innovative work, and identify future opportunities. The review process involves triaging and evaluating papers from relevant journals, scoring them based on criteria like informatics novelty, application importance, and "wow factor." The top-scoring papers are highlighted, organized into themed categories inspired by pop songs, and showcased to reflect advancements in linking biological and clinical entities through informatics methods.

Nicholas Tatonetti, PhD, FACMI
Cedars-Sinai Medical Center

 

Clinical Research Informatics and Informatics Implementation

Wednesday, March 12 | 8:30-10:00 am

Laura Wiley, PhD
University of Colorado

 

Artificial Intelligence and Data Science

Thursday, March 13, 2025 |  8:00-9:30 am 

The Health Care AI and Data Science Year In Review is an annual retrospective that highlights the most significant advancements, challenges, and forward-looking trends in the field of Artificial Intelligence (AI) and Data Science within healthcare and biomedical research. This comprehensive overview showcases the collaborative efforts between clinicians, researchers, and technologists, emphasizing innovations in machine learning models, large language models (LLMs), and generative AI (genAI) that have potential to revolutionize patient care, diagnostics, and therapeutic development. It also examines the integration of multimodal data sources and ethical considerations surrounding AI deployment in clinical settings. The review serves as a vital resource for the informatics community, providing insights into the current state of AI and Data Science, identifying gaps in knowledge, and suggesting directions for future research and application in healthcare to improve outcomes and efficiency.

Yuan Luo, PhD, FACMI, FAMIA, FIAHSI
Northwestern University Clinical and Translational Sciences Institute
Marylyn Richie, PhD, FACMI
University of Pennsylvania, Perelman School of Medicine