Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–3 of 3 results
Advanced filters: Author: Eileen Koski Clear advanced filters
  • Presence of islet autoantibodies precedes the onset of type 1 diabetes but it does not predict whether and how fast symptomatic disease appears. Here authors present a model to predict and visualize progression to diabetes by using a large longitudinal data set on autoantibodies and clinical parameters as input.

    • Bum Chul Kwon
    • Vibha Anand
    • Brigitte I. Frohnert
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-9
  • We piloted using Large Language Models (LLMs) for organizing AMIA 2024 Informatics Summit. LLMs were prompt engineered to develop algorithms for reviewer assignments, group presentations into sessions, suggest session titles, and provide one-sentence summaries for presentations. These tools substantially reduced planning time while enhancing the coherence and efficiency of conference organization. Our experience shows the potential of generative AI and LLMs to complement human expertise in academic conference planning.

    • Yuan Luo
    • Yikuan Li
    • Blanca E. Himes
    Comments & OpinionOpen Access
    npj Digital Medicine
    Volume: 8, P: 1-5