Recent breakthroughs in artificial intelligence (AI) and machine learning (ML) technology development have shown immense potential to accelerate biological discovery by understanding complex data sets and in generating research hypotheses. However, there are still significant and unique challenges to applying AI/ML approaches to life and biomedical science research.  This meeting will explore these challenges and identify best practices for deploying AI to drive biological discovery and ensure widespread benefit for applications in medicine.

The program will highlight research projects across the interface of AI and biology, featuring visionary experts who are building the future of life sciences.  Specifically, we will explore how AI can help decipher biological codes, uncover patterns in large-scale biological data, and develop foundation models and domain-specific methods to reveal biological insights. We will address the importance of careful consideration in training data acquisition and inclusion, model design, interpretation and validation to establish solid generalizable principles while ruling out artifacts. Integrating these discussions, we will cover what is necessary for effective implementation of AI/ML technologies in basic and applied research.

This meeting will showcase cutting-edge applications of AI to biological problems and provide attendees with insight into how to leverage AI to advance their own research. In addition, we aim to train and inspire the next-generation of scientists who will drive the interface of AI and biology towards novel application and capabilities.  We expect to draw participants across a wide range of disciplines, fostering collaboration between technical experts in AI and biology researchers to develop innovative solutions towards a better understanding of disease and its prevention, detection, diagnosis and treatment. Anticipated outcomes include new interdisciplinary research directions, advances in tools and technologies, and collaborations that will define the future of the field.