Description
This presentation will explore the role of AI and Large Language Models (LLMs) in transforming biomedical discovery and healthcare. It highlights real-world applications like improving PubMed searches (Best Match, Nature Biotechnology 2018), supporting precision medicine (LitVar, Nature Genetics 2023), and assisting patient-to-trial matching (TrialGPT, Nature Communications, 2024). This presentation will also address the challenges and limitations of using AI/LLMs in this field.
Guest Speaker
Dr. Zhiyong Lu, PhD FACMI, FIAHSI, is a tenured Senior Investigator at the NIH, leading research in AI, machine learning, and multimodal data analysis. He is also Adjunct Professor of Computer Science at the University of Illinois Urbana-Champaign, and Associate Editor for the journal JAMIA and Bioinformatics. Dr. Lu is a highly cited researcher with over 400 publications, and his AI research has been deployed in production resources like PubMed and LitCovid, serving millions of healthcare professionals and lay persons each day. He has been elected to the American College of Medical Informatics and the International Academy of Health Sciences Informatics. His research has been recognized by numerous awards, including the NIH Director’s Challenge Award, the NIH Clinical Center CEO Award, and the NLM Regents Award.
- Understand the basics of AI and LLMs and their role in biomedicine.
- Learn about specific applications of AI/LLMs in biomedicine.
- Gain insights about AI-human collaboration for improved performance.
- Learn about the process and protocol of evaluating AI/LLMs methods.
- Understand the challenges and limitations of current AI techniques.
This presentation is for educational and informational purposes in alignment with NNLM goals and does not offer medical advice. This webinar addresses the NNLM goal of supporting a highly trained workforce for biomedical and health information resources and data by exploring how AI is being applied in NLM products.