AI in Biomedicine

May 1-3, 2024 | 
Scientific Organizers: Thomas Hartung, Weida Tong and Yvonne Will

  Livestream
  On Demand

May 1-3, 2024 | Virtual at Your Computer
Scientific Organizers: Thomas Hartung, Weida Tong and Yvonne Will

Important Deadlines
Early Registration Deadline:
Scholarship Deadline:
Short Talk Abstract Deadline:
Poster Abstract Deadline: Mar. 20, 2024
Meeting Summary

# Drug Discovery, Bioengineering and Digital

The deadline to submit an abstract for short talk and poster presentation consideration has passed. For any questions or issues, please email info@keystonesymposia.org.

Artificial intelligence (AI) and machine learning are rapidly advancing biomedicine by enabling novel insights into disease mechanisms, earlier diagnosis, improved prognostics, and enhanced precision medicine. This meeting will showcase cutting-edge applications of AI across diverse areas of biomedicine including oncology, neurology, cardiology, immunology, and genetics.

Sessions will highlight real-world examples of how AI can address long-standing challenges in biomedicine through automated analysis of complex biomedical data. Talks will focus on the near-term translatability of AI technologies and practical hurdles that must still be overcome. Discussions will also address responsible and ethical implementation of AI in biomedicine.

Speakers will represent leading researchers across academia, industry, clinical medicine, and government. Collectively they will provide a comprehensive overview of the current state and future directions of AI in transforming biomedicine to improve human health.


Overall Meeting Purpose:

To showcase cutting-edge applications of AI that are transforming diverse areas of biomedicine and driving translational discoveries to improve human health. The meeting will provide a comprehensive landscape of how AI is impacting biomedical research and clinical practice today, along with insights into future directions.

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