AI Workshop: Artificial Intelligence in Precision Medicine of Diabetes and Other Chronic Diseases

10/30/2024
 | 
10/30/24 - 10/31/24
Rockville Maryland and Online

Register for the new AI Workshop: Artificial Intelligence in Precision Medicine of Diabetes and Other Chronic Diseases


When: Oct. 30 - 31, 2024
Where: This is a hybrid workshop. Virtual participation is available. For those attending virtually, the link will be distributed by email prior to the date of the event.
Neuroscience Center Building
6001 Executive Boulevard
Rockville, MD 20852

Meeting Purpose
In the pursuit of precision medicine for diabetes and other chronic diseases, vast amounts of data and literature have been accumulated over decades. Artificial intelligence and machine learning (AI/ML) have made substantial strides in biomedicine, enhancing biomarker development drug discovery, improving diagnostics, and ultimately leading to more personalized and effective health care. Recent advances in AI/ML including those in generative AI and Large Language Models (LLMs), hold immense potential to further revolutionize biomedicine. This workshop aims to bring together biomedical researchers and AI/ML experts, to discuss the critical challenges, crosscutting gaps, and opportunities for and actionable items in leveraging AI/ML and other recent data science advances in precision medicine.

Meeting Objectives

  • Be informed of the unique and transformative opportunities in precision medicine offered by recent advances in AI and other data science areas.
  • Discuss the status of AI-based precision medicine for diabetes and other chronic conditions.
  • Discuss community needs and gaps in AI-based precision medicine and how the NIH/NIDDK data science programs can help.

Learn more and register: https://www.niddk.nih.gov/news/meetings-workshops/2024/artificial-intelligence-in-precision-medicine-of-diabetes-2024
There will be an opportunity of trainee flash talk, and travel award:  https://dknet.org/about/ai_workshop_travel_award.
Please distribute widely as appropriate.